Category: Artificial Intelligence (AI)

 

 

The AI arms race is heating up, with a flurry of major updates from key players this week. Continue reading “Big AI Tech Updates from OpenAI, Perplexity, Meta, Anthropic, and More”

How Much Does It Cost To Develop Tinder Dating App? 

A Guide To Dating App Development

According to Statista, in 2022, approximately 366 million people have used online dating apps globally. By 2027, it is estimated the count is expected to reach 440 million people globally. The below figure represents the ups and downs in the mobile dating app segment worldwide.

Dating Services Revenue Worldwide From 2017 to 2027

The above figure reflects the continuous growth in global online dating services. It is predicted to generate nearly USD 3.41 billion in revenues by 2027 from USD 2.86 billion in 2022.

In particular, the USA is one of the markets for the rapid growth of online dating services. The use of online dating apps in the USA is increasing and approximately over 50 million Americans have installed mobile dating apps for their desired needs in 2022. The number of users is expected to amount to 64.54 million users by 2027.

Now, let’s see the most popular online dating mobile apps in the world. The app ranking has been given based on the number of downloads.

Most Downloaded Dating Apps Worldwide 2022

According to Statista, in 2022, with over 70 million app downloads, the Tinder dating platform was the most downloaded mobile dating application worldwide. Litmatch has replaced Bumble’s second position in 2022 by reporting nearly 58 million downloads, an increase of over 31 million mobile dating users located globally wide.

On the USA market front, with over 957 thousand monthly downloads, Tinder is ruling the USA’s online dating services industry and ranked as the number #1 dating app in the USA in 2022. Followed by Bumble with 786 thousand downloads per month, stood as the second largest mobile dating app in the USA.

Hence, be it on a global scale or domestic online dating services segment, Tinder mobile app is a trending app. It is the best right time for Tinder-like a popular dating mobile app development and grab the market opportunities.

If you have plans to develop Tinder-like similar dating apps but are in a dilemma about how to create a dating app like it, here’s a guide that helps you out. Herein, we have given brief and required information on dating app development features, technology stack, and an estimated software development cost.

Let’s start our session with a brief overview of Tinder history.

Who Is Tinder?

Tinder is the world’s most popular free dating app owned by Match Group. In September 2012, the Tinder dating application was introduced in the App Store for iPhone users. Later, on July 15th 2013, it was deployed in the Google Play Store for Android users. Now, the Tinder dating app is available in over 190 countries and become the most popular free social app in the world.

This popular dating and social networking app in the USA with a simple concept of swipe right or swipe left offering a simple way to find and meet their exact matches online. Tinder-like one of the best dating apps in the USA, is now a best buddy for millions of people looking out for a new relationship.

By creating a simple profile, people can easily find potential matches as per their needs & interests and start a conversation over a secure online dating platform. On mutual understanding then can also meet directly and date of their choice.

Currently, with approximately 60 billion successful matches to date, Tinder has occupied the topmost space in the USA’s online dating industry.   

How Does Tinder App Work?

To offer a convenient and comfortable app experience to users, Tinder offers the simplest way to find, connect, chat, meet, and date new people. Its user-friendly and seamless performance makes Tinder stand apart from other dating apps.

• Download and Install Tinder App
• Register and profile creation with adding preferences and interests
• Star exploring other profiles
• Real-time location mapping to find nearby profiles
• Swipe right on a photo to like a profile
• On mutually liking each other, people can connect and chat
• Swipe left on a photo to ignore or reject a profile
• Instant chat facility
• In-app Audio/Video calling facility to match
• Hence, the Tinder platform offers an easier and faster to meet or date people

The Most Important Features That You Should Add To A Dating App Like Tinder

#1. Simple Sign-in

The long app registration procedure does not work at all in this advanced mobile app world. Simple and faster sign-up and login procedures offer a faster and easier login process and improve user experiences. So, social media integrations are a must for the latest mobile app development.

Hence, allow users to access the dating mobile application with their existing social accounts like Facebook, Google, and LinkedIn etc.

#2. Profile Creation

User Profile is another significant feature that must be integrated into dating mobile apps like Tinder. An appealing profile with an attractive photo is a must to continue with a dating mobile app and will improve the profile’s reliability and chances of finding many matches.

This feature allows users to add their interests, preferences, needs, gender details, and so many others to find a match they are looking out to make a relationship.

#3. AI Feature for Matching

This advanced feature adds value to dating mobile app development (Android/iOS). Integration of Artificial Intelligence (AI) and Machine Learning enabled features will help users to find a pool of profiles that match their interests, desires, and age.

Hence, based on age and interests, the AI-based profile matching algorithm in Tinder-like dating app helps people find and connect their soulmates with ease.

#4. Swipe Feature

Here is one of the essential features of online dating apps like Tinder. Swipe Right or Swipe left model allows users to easily select people to connect and chat. It makes the profile selection process easier and improves the user experiences.

#5. GPS Tracking

This feature helps in detecting the real-time location of the users. Hence, users can find the nearby connections and make their meeting or dating seamless. Further, this feature also helps users in pinning the specific location where they are looking for new friends or people to date.

#6. Instant Chat

In-app chat feature is an essential feature in dating app development for Android or iOS. On liking each other, the app facilitates instant chatting for better communication and making matches more collaborative.

#7. Audio/Video Calling

It is an advanced feature that you must add to online dating application development like Tinder. With this feature, people can easily make audio or video calls right from the applications and communicate with their connections.

These are a few important features that you must integrate during online dating mobile app development. Tinder-like a top dating app in the USA, is generating a profitable business and has built a vast community with people of all ages.

What Technology Stack Used For The Best Dating App Like Tinder? 

Using the best technology stack is significant in the mobile app development process to ensure robust performance. Yes, for ensuring the applications’ flexibility and readability, the programming languages, UI frameworks, testing tools, and debuggers will all play a key role. The global largest dating application Tinder uses a simple tech stack. Here it is:

• Android and iOS mobile app development programming languages: Swift, Objective C, Java, Ruby/Cucumber and Rubymotion
• Database: MongoDB
• Cloud Storage: Amazon S3
• Twilio for sending push notifications
• Google Maps for location tracking in real-time
• Optimizely for dumping testing tools and making multi-variate testing, and multi-page testing
• UI frameworks: Node.js and React Router
• Google Map and Map Kit for integrating in-app location tracking features
• Payment Gateways: PayPal and BrainTree

It’s a basic technology stack used for developing dating apps like Tinder and Bumble. Based on the business objectives and application requirements, top mobile app development companies in the USA will choose the right technologies, UI frameworks, and tools.

Get a free app quote!

How Much Does It Cost To Develop A Tinder-like Dating App or Bumble App?

Further, the actual cost of Tinder-like dating mobile application development will also depends on the hourly price of custom software development companies in the USA.

Hence, we can calculate the final cost of an online dating mobile app by multiplying the number of app development hours with the hourly cost of mobile app development companies in the USA. Considering all these factors, the cost of a dating app might reach to $100,000 and beyond.

We at USM Business Systems, a top custom mobile app development agency in the USA, offers best-in-class dating apps with the advanced AI features and functionalities at affordable price.

Wrapping Up!

Online dating platforms or dating mobile apps like Tinder, Badoo, and Bumble are popularizing in the USA like developed nations. So, if you invest in Tinder clone app development that would be a future-specified decision to turn your business scope in the ever-competitive USA market.

Hire the best mobile application development company like USM, let us know your app requirements, and we create the best dating app that keep your brand the new heights.

Get In Touch!

In our first episode of the week, join Mike Kaput and Paul Roetzer as they explore Microsoft’s new AI-infused PCs, Copilot AI agents, and Team Copilot. We also look into the controversy surrounding GPT-4o’s Sky voice and its alleged similarity to Scarlett Johansson, and discuss Sundar Pichai’s thoughts on AI’s influence on search traffic and the accuracy of Google’s AI Overviews. Stay tuned for our special 100th episode coming out this Thursday!

Continue reading “Microsoft Build’s AI Announcement, OpenAI Scarlett Johansson Controversy, and Google’s Awful AI Overviews”

Microsoft just wrapped up a huge week of AI announcements. Continue reading “Microsoft’s Big AI Announcements”

OpenAI is facing serious backlash after allegations it used actress Scarlett Johansson’s voice without permission for one of the updated voices in its new GPT-4o model. Continue reading “OpenAI’s Scarlett Johansson Controversy”

We have a special bonus episode today, and it’s all about celebrating our 100th episode! To mark this milestone, we have dedicated this episode to answering your questions.

The Artificial Intelligence Show is much more than just a place for us to share content. It’s our way of making sense of the AI world and putting it all into perspective. We are lucky to be on this journey with all of you, learning and growing together every step of the way. Let’s take a look at some of those questions you sent our way.

Listen or watch below—and see below for show notes and the transcript.

Listen Now

Watch the Video

Timestamps

00:04:46 — A brief background of the podcast

00:08:57 — What is the most stand out moment of AI redefining aspects of the future of work?

00:13:40 — If you could ask Sam Altman one question, what would it be?

00:16:36 — What are the best AI tools available for small & medium-sized businesses?

00:19:55 — What are best practices in assessing AI tools?

00:22:40 — How can small and medium businesses apply AI to their customer data?

00:25:47 — What’s your favorite success story of a business adopting GenAI so far?

00:28:55 — What tools does the MAII team use in their workflow?

00:32:09 — How should leaders decide whether to focus AI efforts on high-potential individuals or distribute training and resources across the organization?

00:35:53 — How do people use AI in their daily lives?

00:39:29 — In the next 5-10 years, what do you think the adoption of AI tech will look like for most businesses?

00:42:19 — How can professionals stay updated and enhance their knowledge?

00:49:40 — What are ways I can showcase my AI knowledge while looking for a job?

00:51:26 — What do you think AI’s role will be in strategy work as it evolves?

00:55:21 — What AI enabled services would you add to your client service model if you were running an agency?

00:57:53 — If you were launching a marketing agency today, how would you approach scaling with AI tools?

01:00:35 — If you were leading a college degree in marketing, what would you do to ensure that your students are prepared for the future with AI?

01:03:07 — With advances in AI and the capabilities of instant knowledge transfer to anyone at anytime, what do you think the next evolution of education will look like?

01:06:14 — What tech moment needs to happen for AI applications like ChatGPT to cross the chasm to early/late majority of users?

01:08:55 — Should we be asking more questions about privacy and security? Do we trust these companies too much?

01:11:14 — How do you see regulation affecting AI?

01:13:28 — What advancements in AI are you excited for in the next year?

Links Referenced in the Show

• Intro to AI
• Piloting AI
• AI Mastery Membership
• Scaling AI
• The Law of Uneven AI Distribution

Today’s episode is brought to you by our AI for B2B Marketers Summit, presented by Intercept.

This virtual event takes place on June 6 from 12pm – 5pm EDT and is designed to help B2B marketers reinvent what’s possible in their companies and careers. Thanks to our presenting sponsor Intercept, there is a free registration option.

To register, go to www.b2bsummit.ai.

Today’s episode is also brought to you by Piloting AI, a collection of 18 on-demand courses designed as a step-by-step learning path for beginners at all levels, from interns to CMOs. Piloting AI includes about 9 hours of content that covers everything you need to know in order to begin piloting AI in your role or business, and includes a professional certification upon passing the final exam.

You can use the code POD100 to get $100 off when you go to www.PilotingAI.com.

Read the Transcription

Disclaimer: This transcription was written by AI, thanks to Descript, and has not been edited for content.

[00:00:00] Paul Roetzer: look at the individual roles in your company and your team in certain departments and try and project out 12 to 18 months from now.

[00:00:07] Paul Roetzer: What do those roles look like? And that’s the part I’m worried about that just not enough corporations are having those conversations. And

[00:00:14] Paul Roetzer: Welcome to the Artificial Intelligence Show, the podcast that helps your business grow smarter by making AI approachable and actionable. My name is Paul Roetzer. I’m the founder and CEO of Marketing AI Institute, and I’m your host. Each week, I’m joined by my co host, and Marketing AI Institute Chief Content Officer, Mike Kaput, as we break down all the AI news that matters and give you insights and perspectives that you can use to advance your company and your career.

[00:00:44] Paul Roetzer: Join us as we accelerate AI literacy for all.

[00:00:51] Paul Roetzer: Welcome to episode 100 of the Artificial Intelligence Show. I’m your host, Paul Roetzer, along with my co host, as always, Mike Kaput. What’s happening [00:01:00] Mike?

[00:01:00] Mike Kaput: Not much. How’s it going?

[00:01:02] Paul Roetzer: Good. Well. Well. Well. Well. it’s an adventure. I mean, we are, so again, timestamp this, we are recording this Wednesday, May 29th. this is our special edition 100th episode.

[00:01:14] Paul Roetzer: we’ve had a couple change of venues morning trying make this happen, but we are here, recording. This is going to drop on May 30th. So, uh, if you’re a regular listener to the show, you know, we decided to do a special edition, uh, for you. Uh, for the hundredth episode, that is all about answering your questions.

[00:01:33] Paul Roetzer: So we had more than a hundred questions submitted by our listeners over the last two weeks,  since we that there. we

[00:01:40] Paul Roetzer: appreciate everyone who took the time to submit questions. We’ve got a ton to get through. We’re going to try and, Mike’s curated a list of about what Mike. 25 or so questions.

[00:01:50] Paul Roetzer: I think we curated it too. So we’re going to try and get to all, we’re going to try and answer as quick as possible, as long as I don’t like detour us too much off

[00:01:57] Paul Roetzer: of one of them. We should be able to get through them [00:02:00] all. so we’re going to get to as many as we can. So

[00:02:04] Paul Roetzer: episode is brought to us by the AI aI for B2B marketers summit that is presented by our presenting sponsor Intercept.

[00:02:12] Paul Roetzer: This event is an inaugural event. So it’s new to our events. series. It’s coming up June 6th from 12 to 5 p. m.

[00:02:21] Paul Roetzer: Eastern time. And it’s designed to help B2B marketers reinvent what’s possible in their companies and careers. During the event, you’re going to have

[00:02:29] Paul Roetzer: chance to learn about AI and how it can be infused in creating dynamic customer experiences, how we can bridge the gap between marketing and sales.

[00:02:37] Paul Roetzer: Build an AI council. we’re going to talk about real world adoption with some leading marketers, leading B2B marketers. So it should be a lot of fun. There’s more than 3000 people already registered. There is a free registration option. Again, thanks to our presenting sponsor Intercept. You can go to b2bsummit.

[00:02:53] Paul Roetzer: com. ai to get registered today. There’s an on demand and private registration option as well, [00:03:00] but you can get registered for that for free. Uh, it’s the, if

[00:03:02] Paul Roetzer: you attended our AI for Writers Summit, same format, same general idea, and we had just amazing responses to that event. So we’re hoping to, you know, really bring another phenomenal event to everybody, and again,

[00:03:14] Paul Roetzer: making it free, trying to make AI as affordable and as accessible as we can. So check out b2bsummit. ai. registered for that event again, coming up June 6th

[00:03:26] Paul Roetzer: and then, uh, again, uh, the piloting AI course series. If you’re new to the show and haven’t heard about this, or if you’ve been with

[00:03:35] Paul Roetzer: us before and haven’t had a chance to look, take a look at it. Piloting AI is a collection

[00:03:38] Paul Roetzer: of 18 on demand courses that’s designed as a step by step learning learning. path for beginners at all levels from interns to CMOs. More than a thousand professionals have registered for this

[00:03:50] Paul Roetzer: certification series since it first launched in December 2022. The 2024 series is fully updated. It includes more AI technology demos and [00:04:00] vendors, revised templates, a brand new generative AI 101 course, and more.

[00:04:04] Paul Roetzer: Mike and I went through and updated all the content and re recorded everything at the end of January, 2024. So it’s fresh. It’s about nine hours of content

[00:04:13] Paul Roetzer: covers everything you need to know in order to begin

[00:04:16] Paul Roetzer: piloting AI in your role and in your company, and it does include a professional

[00:04:20] Paul Roetzer: certificate certification upon passing the final exam, uh, not just for individual learners, you can do entire teams, there’s special pricing options for, uh, team purchases.

[00:04:31] Paul Roetzer: So check that out at pilotingai. com. You can use pod 100 promo code to get a hundred dollars off. Uh, and so again, pilotingai. com. If you’re looking

[00:04:41] Paul Roetzer: at team licenses, be sure to reach out to Cathy and our team through the online form.

[00:04:46] A quick background of the show

[00:04:46] Paul Roetzer: Okay. So, uh, episode 100, quick backstory. We’ve, we’ve told parts of this story before on the podcast, but we have so many new listeners every week.

[00:04:56] Paul Roetzer: Kind of a quick rewind, where did the podcast come from? [00:05:00] So the podcast formerly known as the Marketing AI Show, many of you are with us from our origins as kind of more of a marketing podcast. The premise when we first launched the podcast back in like, oh gosh, I guess MAICON 2019 was the origin, origin of the podcast.

[00:05:16] Paul Roetzer: And then what we tried to do in the initial going, like first

[00:05:19] Paul Roetzer: 10 or so episodes, was I would just interview people in the AI industry. But what became challenging over time was I wasn’t very good about

[00:05:27] Paul Roetzer: consistently So it took time to, you know, find the people to interview, coordinate the interviews, prep for the interviews.

[00:05:34] Paul Roetzer: And so we just weren’t getting it done. I personally wasn’t getting it done. And then Around, uh, September, so 2022, I’d approached Mike and I was like, listen, man, there’s so much going on. We’re

[00:05:48] Paul Roetzer: sharing these links back and forth all week long, like, and we don’t do anything with it. Like if Mike had time, he would turn, you know, stories into articles on our site.

[00:05:58] Paul Roetzer: But even that, we were having trouble, like, [00:06:00] staying consistent with. We were doing a lot of republishing of past, like, tips and tools and tactics and things like that, which is great. But we just, we felt like we needed more original, fresh content with a unique perspective, like to try and bring something valuable to the, to the story.

[00:06:16] Paul Roetzer: So in October, 2022, we launched our first weekly episode of the Marketing AI Show. So episode 20 of the podcast was actually the first one in that weekly format that everyone has kind of, you know, gotten used to. So. For some context, in 2022, that entire year, we had 4, 800 downloads of the podcast. Now keep in mind, when we launched this in 2022, I didn’t even know what the KPI was for a

[00:06:44] Paul Roetzer: So we were not doing this as like some major marketing strategy, like let’s go build this massive audience and drive traffic. growth through this channel. It was a storytelling thing for us.

[00:06:55] Paul Roetzer: Like let’s tell the story each week and then let’s use that to create original [00:07:00] content for the blog. And then we record the videos and we can distribute that through YouTube.

[00:07:04] Paul Roetzer: And like, basically we can, you know, start diversifying our channels. but it was really a content play for us and a storytelling play. So 2022, 4, 800 downloads, 2021, the year prior there was 1, 600. In 2023, I

[00:07:20] Paul Roetzer: I think it was over 150,000, 2024 we’re on pace for 350 to 400,000 downloads. So just remarkable growth.

[00:07:29] Paul Roetzer: And over time we started realizing, wow, this is the most valuable channel we have. Like the ability every week to not only put fresh content out there, but for Mike and I to step back and actually think about what’s happening. And so I’ve said on the podcast before and,

[00:07:46] Paul Roetzer: and Mike, I’m sure you would agree, like.

[00:07:48] Paul Roetzer: This forcing function of us doing this every week is the most valuable thing we do for ourselves. Like, I’m, I’m thrilled that you all get value out of the podcast, but the [00:08:00] reality is like, we would probably force ourselves to do this there

[00:08:02] Paul Roetzer: was still only 5, 000 downloads a year, because we actually synthesize what’s happening and we try and make sense of it.

[00:08:10] Paul Roetzer: And then we develop a point of view that carries through into our online courses, the workshops we teach, the presentations that Mike and I give, the limited consulting work we do. Like this has become a really, really valuable thing for, for me, for Mike, for our organization and, and, you know, luckily for all of you as well.

[00:08:28] Paul Roetzer: So that’s kind of just a quick background. I wanted to kind of touch on a little bit before we got into this, but. again, the idea for this 100th episode was, let’s make this about you. Like, what is it that’s on

[00:08:41] Paul Roetzer: your mind? answer your questions. And so, as I said up front, we have more than a hundred questions submitted.

[00:08:46] Paul Roetzer: Uh, we’ve curated it down to about 25 or so. We’re going to try and get through over the next, you know, 45, 50 minutes. And with that, Mike. let’s get to the questions.

[00:08:57] In your 100 episodes of the show, what is the most stand out moment for you in terms of AI beginning to redefine key aspects of people’s future of work? What are some of the key points of the journey so far as revealed through the podcast?

[00:08:57] Mike Kaput: all right, Paul. So like you [00:09:00] said, we got a bunch of questions here. Uh, we solicited these through a form that we promoted to the audience, through the podcast, on our website.

[00:09:07] Mike Kaput: Basically people just submitted whatever questions they had about AI. Didn’t have to be about AI in marketing or business, though many of them were. And with each of them, we asked people if we could share their name, uh, as we read out questions. So for the ones where that’s relevant, I’m going to do that.

[00:09:24] Mike Kaput: I’m going to apologize in advance. I’m going to try to pronounce your name as well as can. So please, uh, have a little understanding. but I will go ahead and introduce the person by first name and then also read question for Paul, and you take it away. So first up, we have a question from John and he said, In your hundred episodes of the show,

[00:09:50] Mike Kaput: What the most standout moment for you in terms of AI beginning to redefine key aspects of people’s future work?

[00:09:59] Mike Kaput: What some of key [00:10:00] points of the journey so far as revealed through everything kind of looked at on the podcast?

[00:10:05] Paul Roetzer: Wow, that’s a, that’s a far reaching one to think about. I don’t know. I, so I, I’ve had this belief for a while, probably back to the origin of, you know, October 2022 when we really started doing this, and we wrote about it in the book. I think, That it’s going to be a bit messy that, that as AI is adopted, more deeply into enterprises, cause I feel like we are just at the very beginning of the AI adoption curve in enterprises.

[00:10:38] Paul Roetzer: I do think there’s going to be. Disruption within a lot of industries to knowledge work. And I think that could mean some job loss. I do think it will create amazing new career opportunities for people

[00:10:54] Paul Roetzer: as well. I just don’t know that that’s going to happen as quickly as some of the job disruption, [00:11:00] and I would say over the last like 80 or so episodes, since we started the weekly format. We’ve talked about a lot of different research reports and articles and podcasts we’ve

[00:11:11] Paul Roetzer: listened to and videos we’ve watched related to the workforce and the economy. And I don’t know that my position has changed much since October 2022. I still don’t feel like economists largely are

[00:11:31] Paul Roetzer: preparing. People for the disruption, but I think it’s because they don’t necessarily understand it themselves, because I think to understand the impact on

[00:11:40] Paul Roetzer: future of work, you have to have a reasonable estimation about what these models are going to be capable of in the next one to two years. And so I just feel like we need to.

[00:11:52] Paul Roetzer: Prepare for a number of contingencies. I think if it ends up great and we don’t have a job loss, a net job loss, and [00:12:00] everyone’s life just gets better, then wonderful. Like I hope that is what happens. But I think there’s enough of a chance that it’s not that clean and amazing in the near term that we should at least prepare for the idea.

[00:12:14] Paul Roetzer: That in some industries, there’s going to be disruption to knowledge work. There’s just going to be fewer humans needed to do the current,

[00:12:23] Paul Roetzer: roles that are asked of them. And until we create the new career paths or until organizations figure out how to function when they can be so efficient and so productive, there’s just a chance that it’s not going to be Be all sunshine and rainbows when it comes to the economy and the workforce.

[00:12:42] Paul Roetzer: So yeah, I think that that’s kind of where I’m still at today is that we should be preparing.

[00:12:48] Paul Roetzer: for the idea that I think we have time still to prepare in most industries. And this is why I encourage people to do these like AI impact assessments, like look at the individual roles in your company and your [00:13:00] team in certain departments and try and project out 12 to 18 months from now.

[00:13:05] Paul Roetzer: What do those roles look like? And do you have as much demand to keep as many people as you currently

[00:13:10] Paul Roetzer: have employed, or if demand’s going to stay flat and you don’t need as many people, what are you doing now? Can you upskill and reskill your team? do you just reduce the number of new people you hire and you, you try and find ways to adapt?

[00:13:25] Paul Roetzer: with the existing staff. Like, and that’s the part I’m worried about that just not enough corporations are having those conversations. And I just feel like every company should be working on contingency planning and looking at different models when it comes to the workforce.

[00:13:40] If you could ask Sam Altman one thing and have him answer 100% honestly, what would you ask?

[00:13:40] Mike Kaput: I love this next one. This is from one of our listeners, Tilly, and they ask if you could ask OpenAI CEO, Sam Altman, one thing.

[00:13:49] Mike Kaput: And have him answer 100 percent honestly, what would you ask?

[00:13:55] Paul Roetzer: Okay, this is one

[00:13:56] Paul Roetzer: I’ve actually thought before.

[00:13:58] Paul Roetzer: So I was glancing these [00:14:00] questions this morning we

[00:14:01] Paul Roetzer: started, and I went and a list of questions that I have actually, about related to this exact one. So I’m gonna, I don’t even know if I could pick just one.

[00:14:12] Paul Roetzer: okay. I’ll do the one. I’ll see if I want to throw a couple these other ones out So the first is, I would him, OpenAI has championed approach of iterative deployment and gradual transition a world AGI, so society has time

[00:14:28] Paul Roetzer: This is like fundamental to OpenAI. This is why they put ChatGPT in the world. It’s why they debuted Sora. It’s why they’re, you showing voice Like they try and release things. that governments

[00:14:39] Paul Roetzer: and society have time prepare for what’s to be possible. This is all fundamental to their, do everything. So my question be,

[00:14:47] Paul Roetzer: happens if another company or government doesn’t share gets there first? So this is like One my fundamental challenges today with like open versus closed source, these [00:15:00] that to be shepherding safe AGI versus, you others. It’s like, you’re not doing this in isolation.

[00:15:07] Paul Roetzer: So if. let’s a say Anthropic, all of a sudden claims that they’re there, that they have AGI. What does OpenAI Do they throw iterative deployment out window they give us 6? Like,

[00:15:19] Paul Roetzer: I I don’t know. And, and, and I don’t know that, And he have like really honest that question I’m not so sure that they really think ahead. So like another question I would ask, that sort of plays this out is in, in blog post Sam published called Planning for AGI and Beyond, he wrote, the first AGI will just point along continuum of intelligence.

[00:15:45] Paul Roetzer: We think it’s likely progress will continue from there. Possibly sustaining the progress we’ve seen the past decades for a long time. my question to him would then do you ever stop to personally process and visualize what that future would actually mean to [00:16:00] society and humanity, or is it even too abstract him contemplate?

[00:16:03] Paul Roetzer: So he’s for years pushing idea of AGI is coming going to build else builds while we’re at it. Has he ever stopped to think about like, that actually mean? Other than, yeah, we’re going to need universal basic income and, you know, You know, going to be great.

[00:16:17] Paul Roetzer: We’ll find some new roles for people. Like just don’t, I’ve never heard an interview of these AI research lab leaders, these frontier model leaders has given a clear vision of the world looks like when we get there. I would want to know that.

[00:16:36] Paul Roetzer: right.

[00:16:36] What are some of the most effective AI tools available today for small and medium-sized businesses looking to optimize their operations?

[00:16:36] Mike Kaput: This next one comes from Anthony and they ask, what are some of the most effective AI tools available today for small or medium sized businesses looking to optimize operations?

[00:16:49] Paul Roetzer: Yeah,

[00:16:51] Paul Roetzer: and Mike, if have thoughts on this one, jump in on it as well. Like, what I always tell people is, I would at [00:17:00] industry you’re in what

[00:17:01] Paul Roetzer: component of operations you’re specifically thinking about. And I would go and find tools for, for those, like, for example, you may be looking at, you know, HR, finance, accounting.

[00:17:14] Paul Roetzer: Like I’m trying to find AI tools to help with performance and reporting analysis, automation of financial reports every week, where just get a narrative the CEO, like a fundamental, like here’s happening, here’s answers to 10 questions. I’m looking at it as that and a small business.

[00:17:31] Paul Roetzer: We have employees. so I’m, think about it from that perspective, but I honestly wouldn’t, underestimate ChatGPT slash Gemini’s ability to help answer this question for you. So what Mike and I continuously found is if take this kind of question and you Tailor prompt, like almost think about it as like you’re talking to a, like a a top consultant in your space and And,

[00:17:57] Paul Roetzer: talk the, the AI that way and say, [00:18:00] Hey, listen, know, I need help figuring out ways as a small medium business in X industry.

[00:18:06] Paul Roetzer: To leverage AI to my operations and maximize my profit. I’ve given the example of how did this with a friend mine, who’s a dentist. And, know, we used it a way to and out how to maximize, the organization when insurance rates were going up and cost of goods were going up and I’m not dentist, so I have no

[00:18:28] Paul Roetzer: idea, but like, I’m able to craft prompt ask right question chatGPT and get a really good response.

[00:18:34] Paul Roetzer: So that to me is. would, on your interest, I would go in there say, Hey, I’m in the accounting profession. I’m in the legal profession. I’m in retail, whatever it is. here’s some of challenges I have currently in my operations. What are ways I could leverage AI? And please include example tools.

[00:18:49] Paul Roetzer: Perplexity may give you a better answer if you start asking for like specific recommendations and thing that,

[00:18:55] Paul Roetzer: I create that prompt then I would, I would test it across couple of different language models. And that’s [00:19:00] high level. A takeaway for anyone listening today is like.

[00:19:04] Paul Roetzer: Don’t just, because you’re paying 20 bucks a month, only use ChatGPT. Like Mike and I find all the time that some prompts, you just get a better output in other models. so we’ll test these things all the time. So don’t Mike, do you have any other thoughts on that one, anything you’ve tried?

[00:19:20] Paul Roetzer: Yeah, I would just say. Somewhat related, a big bottleneck for anyone, but especially a small business is just limited bandwidth and focus on the things.

[00:19:31] Paul Roetzer: And I would say I probably wouldn’t even be looking for dozens of different tool ideas unless I was very confident that me or my team already absolute rockstars prompting and getting value out of. Uh, GPT 40, Gemini, and or Claude, because those three together the right prompting and context can get you very, very, very far.

[00:19:55] Mike Kaput: Okay, Katharina asks, what’s a good [00:20:00] way to assess AI tools when there so many options? Do you use an assessment framework?

[00:20:07] Paul Roetzer: Yeah, and this again, Mike, might be a good one

[00:20:09] Paul Roetzer: you to in with own experience But I first at vendor. actually have, and we’ll it in the notes. We have an AI tech vendor assessment that we created with the Marketing Artificial Intelligence book. it’s on our site.

[00:20:23] Paul Roetzer: It’s free download. a Word doc you can download. yeah. But

[00:20:27] Paul Roetzer: what we recommend there to make sure you look at, like, the vendor, that it’s a legitimate AI tech company, they, know, this isn’t, know, just a software company that’s throwing AI into their messaging, sell some licenses, that a real company with a public product roadmap, point view on AI, It’s obviously, uh, being infused into everything they’re doing.

[00:20:49] Paul Roetzer: Then you start looking the technology itself and you’re looking for specific value for you, making sure you’re understanding the use it’s going to enable, you’re going to want like, if it’s going to be [00:21:00] core part of your tech stack, you’re to want to look at their onboarding tools, their customer support, in case you need guidance, your team’s starting figure out how to use this tool.

[00:21:08] Paul Roetzer: think more than anything, it really just comes down to user stories. And what mean by that is. All We’re going go find a podcasting tool. let’s our podcast, is fundamental of our overall strategy. We’ve, we want keep doubling down on podcast, every aspect of it.

[00:21:24] Paul Roetzer: We want to improve efficiency, productivity, creativity, quality of output, like all of So what I would do is say, Okay, here’s the three people working on the podcast today.

[00:21:34] Paul Roetzer: Here’s the 25 tasks that they do every week to do this podcast. I’m going to go find a tool a tools us improve efficiency, productivity, creativity, quality across podcast those three people in these specific tasks.

[00:21:51] Paul Roetzer: And so if you laser in on. A very specific thing you want achieve, not just, let’s just go

[00:21:56] Paul Roetzer: get a tool and let’s figure out how to use later. But have a [00:22:00] specific business use case. We can define user story of what their life looks today without the tool. then once understand tool, we can define, okay, 30, days now, here’s this is going to improve what they’re doing.

[00:22:13] Paul Roetzer: we’re going to measure it way. to me is the most important You can get into user reviews and like usual things you would look at technology, but you apply and you have a very specific idea in mind of a campaign or a workflow can benchmark that workflow and can, you can then measure improvement, the way to buy any technology you’re going to get value you’re going to know if it’s not working and you can stop it.

[00:22:40] Please speak about how small and medium businesses can apply AI to their customer data. Should they wait until their CRM providers infuse their systems with AI assistants? Or should they use paid versions of ChatGPT to plug it into the data somehow? How safe is it in terms of data privacy?

[00:22:40] Mike Kaput: So, Jev asks, please speak about how small and medium businesses can apply AI to their customer data. Should they wait until their CRM providers infuse their systems with AI, or should they use paid versions, for instance, of ChatGPT to plug in their data? How safe is all this [00:23:00] in terms of data privacy?

[00:23:01] Paul Roetzer: So I’ll work backwards terms of data privacy. All these AI companies, and specifically, you know, the frontier model companies, the the big ones, Google, Amazon, Microsoft, OpenAI, Anthropic, they understand they’re not getting enterprise adoption not protecting data. So they’re all building that in or have that in terms uh, of use already. Make

[00:23:25] Paul Roetzer: sure your attorneys, you know, Review that though. Just make sure fully clear confident or IT, your organization needs be involved, make that they, sign off on, on that before go putting data in. being said, under the assumption that data is safe and you can put that kind of stuff into models.

[00:23:44] Paul Roetzer: I have personally seen some, some pretty success using ChatGPT team slash plus license. With data, like it’s getting really at data analysis. just introduced some new capabilities

[00:23:59] Paul Roetzer: weeks [00:24:00] around this. it used to be called what? Code Interpreter. Then it was Advanced Analysis.

[00:24:05] Paul Roetzer: Now I don’t know what it’s called ChatGPT anymore. but I think that the main providers Google, Microsoft, Anthropic, Amazon, OpenAI, uh, Meta, I guess, eventually, they’re to build this data analysis capability right in. to these platforms. So I think six to 12 months from now, it’s just going to be a common within there.

[00:24:26] Paul Roetzer: And you’re going to have analysis capability that previously would have had to hire outside for, go get a PhD for.

[00:24:33] Paul Roetzer: that seems like a direction we’re definitely heading. I’m starting to test those things myself. but if you have the budget, I would talk to a PhD. You know, a data analyst, a data scientist, that they understand ways to, you know, organize and structure the data, clean the data, that it has more value to you down the road and all, as you start spreading out AI applications you’re looking at.

[00:24:58] Paul Roetzer: [00:25:00] certainly For all of us, if we can access the data within our CRMs use that, uh, that’s a great starting point. And Salesforce is doing that, HubSpot’s doing that, all the CRM companies know that that’s a key feature

[00:25:11] Paul Roetzer: as well. So I would to your existing tech stack companies. would confirm with your IT.

[00:25:16] Paul Roetzer: Slash that you’re, good to submit, you know, data into ChatGPT or whatever, know, Gemini, whatever license you’re using. I would start experimenting use cases within those. That’s Mike and I are doing that right now where we’re putting data in and trying to, you know, see what it out.

[00:25:32] Paul Roetzer: But will say they, they can still hallucinate even the data side. you have to have some understanding of your own data and you have to know what to look for to make what it’s telling you right. uh, because otherwise you, you could rely on

[00:25:45] Paul Roetzer: some false data.

[00:25:47] Do you have any success stories of a business adopting GenAI that wouldn’t necessarily be an obvious company to do so? What’s your favorite story so far?

[00:25:47] Mike Kaput: Heather asks, do you have any success stories of business adopting Gen AI that wouldn’t necessarily be an obvious company to do so?

[00:25:56] Mike Kaput: What’s your favorite story so far?

[00:25:59] Paul Roetzer: a [00:26:00] few episodes we talked about Moderna and OpenAI. I loved that one. So that’s episode 95. If you want to go back listen

[00:26:07] Paul Roetzer: to that main topic. And then actually I’m in the midst of building our new scaling AI series, which is this eight series that we’re going to be launching um,soon.

[00:26:17] Paul Roetzer: And one of the courses is called AI emergent organization. in that wanted to go companies that are doing this, that are kind of building these AI emergent versions of their company, they’re infusing AI. And I asked Mike to help me with the research. he just like weeks ago went and built a database of companies that we thought based on our research, doing a job.

[00:26:41] Paul Roetzer: I’m actually gonna this one back to you, Mike. And, if there was any companies that really stood out to when you were doing that research.

[00:26:49] Mike Kaput: two stand out to me, certainly not the only examples we found, but I just think they’re unique in different ways. the first is a company called Klarna, which does a bunch of like [00:27:00] e commerce and payments.

[00:27:01] Mike Kaput: And Klarna has naturally a ton of customer service chats. Now this is a pretty obvious area to start considering applying AI, given the results you can get with AI in customer service areas. But I am really impressed just the scale which they appear to have done it. They’ve released a bunch of information on this.

[00:27:20] Mike Kaput: According to them, They already now have an AI assistant that has had 2. 3 million conversations or two thirds of Clarna’s customer service chats and doing the equivalent work of 700 full agents and has, is on par with human agents in regards to customer satisfaction scores. So it’s basically estimated to a 40 million profit.

[00:27:44] Mike Kaput: uh, profit.

[00:27:46] Mike Kaput: Improvement to Klarna in 2024. Just overall, really impressive in terms of the scale at which they appear to rolled out AI for this particular use case. Now, another one is [00:28:00] Publicist Group. And I mention this just because we did cover it on the podcast. This is a early days one. I more want to highlight for the sheer Magnitude of what they’re trying to do and what is required.

[00:28:13] Mike Kaput: Now, Publicis is a big agency, group of agencies, one of the leaders in the space, and they are investing 326 million in AI the next three years to basically build a centralized brain. For their company, that AI is going be a layer over all of their data and help all of their people do everything that they do in a day to help service their clients, to help earn new business, to help the agency do all creative and strategic tasks it does.

[00:28:43] Mike Kaput: So, you know, us, Paul, coming from the agency world, that one jumped out as well. They’re not just applying a few little use cases here and there, they’re reinventing the company from the ground up. with AI.

[00:28:54] Paul Roetzer: Those are good ones.

[00:28:55] What tools does the MAII team use in your workflow? What GPTs has your team built that you find most valuable?        

[00:28:55] Mike Kaput: All so Alec asks, what tools does the [00:29:00] Marketing AI Institute team use in your workflow?

[00:29:02] Mike Kaput: Any GPTs the team built that they find valuable?

[00:29:07] Paul Roetzer: don’t you go on what tools you use? Cause I say I, I’m more an experimenter. know, I, I obviously use ChatGPT, Claude, Perplexity, uh, Gemini are of my, my main ones, but you’re running content. So you could

[00:29:21] Paul Roetzer: probably get more specific on you’re

[00:29:23] Mike Kaput: Yeah, sure. I’ll mention a few that are really valuable for our team. So, Claude3Opus has been critical for any type of, Uh, brainstorming or first drafts of any type of content or copy, Claude, like Paul mentioned, is just a model that’s comparable to ChatGPT and Gemini, but for whatever reason does writing much, much better in my opinion than some of those.

[00:29:47] Mike Kaput: Uh, Gemini 1. 5 Pro, which is the latest version Gemini available Gemini Advanced, uh, paid version, paid plan at 20 bucks a month, is super, super helpful, it’s got an incredibly [00:30:00] long context window, so can dump in literally hundreds pages of material and start querying that data, using it in various ways, learning from it, that’s been helpful.

[00:30:10] Mike Kaput: Absolutely essential what we do. And then there are things like another one our team loves. That’s just saved an enormous amount time is OpusClip, which takes our long form video, automatically splits it up into short form video, which is a critical format that we had kind of. under invested in previously because it a really long time to create those clips manually.

[00:30:33] Mike Kaput: And I would say Descript

[00:30:34] Mike Kaput: is probably like the biggest one, so that’s what use our podcasts, for our webinars, for transcription, for production, audio and video production. They’ve, I think, a new AI feature that does the clips thing too. So that’s like absolutely core. And then there’s the GPT question.

[00:30:52] Mike Kaput: So haven’t personally, infused any GPTs my workflow, but will say, There’s the one [00:31:00] talked numerous times that I just haven’t built yet is the generative AI policy. So, you know, people through building a generative AI policy. episodes talked the idea of an AI profiler.

[00:31:10] Mike Kaput: In case, I was doing it for an a journalist where I just You know, went in and kind built a to give me everything I need to know about that journalist, but you could do the same thing for, know, sales conversations, job interviews, things like that, where you basically just build a profile on someone where you tell to go any, you know, information that’s available to personality profile based on their social shares.

[00:31:32] Mike Kaput: Find anything they’ve written, stuff like that. So that’s one we turn into a, uh, a GPT. And then the other one that was testing and building these scaling AI courses is actually a AI course assistant. And so, you know, got it as research assistant. I have editing

[00:31:47] Mike Kaput: things. I have, you know, it’s ID8s with So I just a single in ChatGPT, in Gemini. Perplexity,

[00:31:57] Mike Kaput: I’m asking with [00:32:00] things. so I could easily take that and that a GPT as well. But right now I’m just as a separate chat in each of those platforms.

[00:32:09] How should leaders determine whether to concentrate AI efforts on select high-potential individuals or to broadly distribute AI training and resources across their organization?

[00:32:09] Mike Kaput: All So Will asks, uh, kind of, let me go through this question here.

[00:32:15] Mike Kaput: I’ve noticed varying opinions who benefits the most from AI. A high level AI consultant I know is advising CEOs to focus on a small group of employees with more ideas than time. Meanwhile, many discussions emphasize spreading AI knowledge and skills across the whole enterprise. Given these differing approaches, how should leaders determine where to concentrate AI efforts?

[00:32:38] Mike Kaput: Should it be on those select high potential individuals, or should it be more broadly distributed when you talk about AI training and resources?

[00:32:47] Paul Roetzer: I, this one, you know, I’m just of wracking my brain here, met with so many different companies, so many different sizes, industries, and I don’t know that there’s a right single approach to this. I don’t know if there’s [00:33:00] one answer to question.

[00:33:01] Paul Roetzer: I think is largely organization dependent. What I mean by that is, you know, organizations have so much red tape, like so many obstacles

[00:33:11] Paul Roetzer: to doing adoption, that getting a small group of people is their only choice, like to this as tight as possible, as controlled as possible, only way they’re going to

[00:33:21] Paul Roetzer: get permission to do these things, so that might be their only option.

[00:33:26] Paul Roetzer: think that, When we look how AI should be adopted, like I think leading organizations going back to Moderna example from episode 95, decentralization. It’s empowering your entire team experiment, to find the best use cases, to share the best prompts. Like. That’s how companies are going really innovate,

[00:33:48] Paul Roetzer: know, this and capability in a few select people.

[00:33:51] Paul Roetzer: It’ll make an impact, but it just seems to me it’s probably not ideal long term. Now, from a research [00:34:00] perspective, is,

[00:34:05] Paul Roetzer: from 2023, where they benchmarked. was 700 consultants, I think. they benchmarked their performance before gave them GPT then after.

[00:34:17] Paul Roetzer: And they there was like very little training of how to use it.

[00:34:19] Paul Roetzer: Like they didn’t even do full blown, you know, onboarding the way you should. what they found was the, the consultants

[00:34:28] Paul Roetzer: that performed on the benchmark. before GPT saw a much greater improvement in performance.

[00:34:37] Paul Roetzer: I it was like 41 percent improvement in their performance. The high performers pre benchmark, saw a smaller It was like 17%. Now they both improved. So like your A players A plus players, basically. Your B and C players. moved up to like A player status. So the and C [00:35:00] players are making this much larger jump.

[00:35:01] Paul Roetzer: Well, that would argue distribution of. Features and benefits across the whole team, not a small group people,

[00:35:08] Paul Roetzer: because A players are going improve and they’re, they’re turn going to drive productivity performance for organization. But if distribute the capabilities across everyone and teach them to use all of a sudden your entire employee base levels up and your organization rise with that.

[00:35:27] Paul Roetzer: So I think that the better play is.

[00:35:31] Paul Roetzer: Democratization of literacy and technology within the organization, but it’s not going be the reality every company. They’re not going to be able to that. so then I would say a small group better than nothing. Like whatever you need to do to accelerate, it.

[00:35:48] Paul Roetzer: And if you can get everyone involved, I think you should. I

[00:35:53] How do people use AI in their daily lives? Is it primarily using tools like ChatGPT or Perplexity or is there something beyond that which can help save time or solve daily problems.

[00:35:53] Mike Kaput: Sinandoh asks, how do people use AI in their daily lives? it primarily using tools like [00:36:00] ChatGPT or Perplexity, or is there something beyond that which help save time or just solve daily problems?

[00:36:05] Paul Roetzer: like. Hmm. had a, Hmm. episode. We were going to talk about something related to this, you know, I think there’s this question right now around AI adoption. We’re seeing, like we saw Microsoft LinkedIn study recently said.

[00:36:21] Paul Roetzer: 75 or 78 percent people are using Gen A at and 48 percent of them were in the last six months.

[00:36:26] Paul Roetzer: So you look at it’s like, Oh, everybody’s using it. But then you go talk real world. And I saw a data recently, it was like 7 percent people are using ChatGPT like even know what it is. And you’re like, you can easily step out into the real world and like be with family or friends or.

[00:36:42] Paul Roetzer: know, your buddies who aren’t in the marketing world or aren’t in tech and, and they’re like, yeah, I don’t know. I don’t really use it. Like, so I, it’s, it’s, there’s confusing signals right now like whether or not society has it, uses it, or wants it. My argument is We’ve all been [00:37:00] using AI dozens times

[00:37:01] Paul Roetzer: the last 10 years.

[00:37:03] Paul Roetzer: Like if you use TikTok, you use your iPhone, if you drive in Tesla, you use Google maps or Amazon or Spotify or Netflix, like we’re using AI, we just don’t know it. then the question becomes, well, who going out and seeking specific AI tools like a ChatGPT or Perplexity? I think that might be fewer they’re college students.

[00:37:26] Paul Roetzer: I think college students are racing to use these things. I think people on like TikTok and Instagram for reals, they’re going and seeking AI tools that help them do creative stuff, but you know, in terms of world, I don’t know that it’s that prevalent, like a couple of examples I think about is, again, I’m in this obviously, but I use, you know, Voice all the time.

[00:37:48] Paul Roetzer: So not just talking to like, to do text message, like voice to text there, but to do to create documents, to send emails, like you speak much faster than you type. so I have [00:38:00] started using voice capabilities in all of things. other things personally used it for is kids homework. So my kids fifth and sixth grade going into sixth and seventh.

[00:38:08] Paul Roetzer: And they all, they all time. I don’t know the answers to, I don’t even know how to help them, but it’s a coding question daughter has, or a math question or question. Like Mike, and I joked, we’re writers by like to school for writing, but you asked me like technical. how to diagram a sentence or like, know,

[00:38:29] Paul Roetzer: predicate noun is like, what I was like, I don’t know. It’s been 20 years since I studied that. I just know how to use words. I don’t how to explain to why

[00:38:36] Paul Roetzer: I did it.

[00:38:37] Paul Roetzer: And so I’ll use perplexity all the time help me help them.

[00:38:42] Paul Roetzer: That’s me seeking an AI to help solve something. The other one get asked questions from friends or family who own businesses industries I don’t

[00:38:50] Paul Roetzer: understand. And like, I usually have to stop and do a bunch of research. Now I just create a and I go perplexity I’m like, Hey, I’m trying to advise somebody on this.

[00:38:58] Paul Roetzer: Here’s business. Here’s the [00:39:00] challenge they’re having. What would I do? And then gives to now as a strategist, as a marketer, as an entrepreneur, I can assess that output, it’s good and know whether or not to send it to my friend or family. but I think those are the kinds of things that I don’t of that many people on average doing it.

[00:39:16] Paul Roetzer: I’m not family and hearing. Aunts and uncles that Oh yeah, I was using ChatGPT So, I

[00:39:24] Paul Roetzer: don’t know, like would us it’s not prevalent as we may think it is in bubble we all live in.

[00:39:29] Looking at the next year, five years, and 10 years, what do you think the adoption of AI Technology will be for most businesses? Do you see it coming in for more skilled labor-type jobs as well or being used to assist skilled labor jobs?

[00:39:29] Mike Kaput: So Chad asks, looking at the next year, five years, ten years, like, what do you think the adoption of AI technology will be for most businesses? you see it coming? More for skilled labor type jobs as well, or just being used assist like labor jobs.

[00:39:46] Paul Roetzer: Yeah. So I,

[00:39:48] Paul Roetzer: a thoughts here. we will put it in the show notes, the law distribution, referenced a number times. I wrote I think in early 2023, this idea that, [00:40:00] all have access to same stuff, whether you’re lawyer, accountant, an engineer, HR professional, a consultant, whatever you’re doing for a living, a writer, a teacher, one us can go get the same for 20 bucks month.

[00:40:13] Paul Roetzer: It’s kind of like the like if you, if you 500 or 700 whatever it is, we all have access to exact same technology, whether you’re billionaire or fresh out school making 30, 000 year, stuff’s available to all of us. How you use that, the benefit you from it,

[00:40:29] Paul Roetzer: Will not be evenly distributed because some people don’t understand it’s capable of.

[00:40:35] Paul Roetzer: Some people may not have access to it’s shut off company. Even though it’s there, they’re not allowed to use it. And some people just won’t accept what they have give to get Like the privacy side or the data side just not willing to give that information to some company.

[00:40:50] Paul Roetzer: And so don’t think it’s going to be evenly distributed. I do some industries are going be heavily impacted than others in the near term. [00:41:00] But I, I, at end of the day, like think to years from now, I don’t understand how a business functions without it infused across every department of their Like,

[00:41:09] Paul Roetzer: Like you be such a competitive disadvantage. It would like, I don’t know how to relate but it would almost like if we went back to 2005 let’s say like internet and email starts exploding 99, 2000 range

[00:41:25] Paul Roetzer: 2005 hits and company still doesn’t have a website, isn’t using email, and nobody in the company uses to search anything. That’s basically what it’s going to be like three to five years from now, if you haven’t fully infused AI. will be at such a disadvantage

[00:41:42] Paul Roetzer: to the

[00:41:42] Paul Roetzer: companies who found ways to apply this general purpose technology marketing, sales, HR, finance, operations.

[00:41:53] Paul Roetzer: So I don’t know if companies that haven’t deeply infused this three five years from now exist.

[00:41:58] Paul Roetzer: Like, I, I think you’re [00:42:00] just going be obsoleted basically. So, and that, you know, again, that three five years is more of an average. industries, it may take seven. I don’t know. Some it’s going be one, but overall average three to five years, it has to be infused into every function of the business.

[00:42:19] Given the rapid pace of AI innovation and development, how can professionals across various industries effectively stay updated and enhance their knowledge?

[00:42:19] Mike Kaput: Najam asks, given, you know, the rapid pace of AI innovation and development, this can be overwhelming even for those with extensive experience in technology and marketing and business.

[00:42:32] Paul Roetzer: Given that, how can professionals across various industries effectively stay updated and enhance their knowledge, especially Without, you know, a serious tech background.

[00:42:43] Paul Roetzer: I don’t know about you, Mike, it’s overwhelming for me

[00:42:48] Paul Roetzer: like, I have shared this before, but again, you’re a new listener, the way Mike and I this podcast is have a, uh, Twitter thread, that I get notifications for there’s probably, I know, [00:43:00] 50 people brands I get notifications I have lists, that’s one but a filter beyond that is notifications, media outlets, things like that. That is 90

[00:43:11] Paul Roetzer: to 95 percent of what we talk about on this show and the things I read every week come that notification list. So the vast majority of the way I curate information consume it is through notifications on Twitter.

[00:43:25] Paul Roetzer: would, the a month I give Twitter, I would pay the 2200 or 22 just notification access. that’s valuable me. So, I’ve created these different filters just to get down to the things think matter each week. Then, Mike takes all of those things, 30, 40 things each week, he curates those down the ones that going to actually talk about.

[00:43:52] Paul Roetzer: He picks the main topics. fire items sends to he says, this look? Are we, we to go? I maybe have few notes [00:44:00] like, yeah, move this one here. swap this or let’s make the topic, whatever. generally speaking, that’s it happens. And Sunday night or Monday morning, have to actually for the show.

[00:44:10] Paul Roetzer: Like now going and like deeply thinking about these things. And sometimes I do it 30 minutes, sometimes, know, an hour two hours. But. time is therapeutic, but it is like overwhelming sometimes. Like there’s sometimes on that Sunday night where like, don’t even how I’m going to be ready to talk about it. So

[00:44:29] Paul Roetzer: like they’re so, so deep and so far reaching.

[00:44:33] Paul Roetzer: so I say all that say, you. I totally get this is crazy and overwhelming and abstract sometimes terrifying every once in a while exciting, but I think

[00:44:47] Paul Roetzer: way I advise people generally is. The fire hose Mike and I drink from each week is not advisable.

[00:44:56] Paul Roetzer: it is daunting sometimes, and you have get really [00:45:00] good compartmentalizing information so you still sleep at night.

[00:45:04] Paul Roetzer: for most people, The opportunity to pick a thread about AI that matters to your role you have now, the role you want to have in the future, or the value want create this knowledge. So if it’s AI the legal industry, AI for engineers, or AI in the retail industry, or like a specific component of AI, like the impact on the workforce or impact on education, do that. Listen to our podcast once a week. Get our newsletter, maybe couple other newsletters. There’s a few other that Mike I love that we subscribe to. That’s enough. And like in for hour two week and try and the macro level, but spend 95 percent of your time the micro, like narrow.

[00:45:53] Paul Roetzer: With the AI expertise, cause what the world is to need lot more people who have AI expertise in a specific [00:46:00] domain. the other thing I would say here is we have the AI mastery membership. If you’re familiar that, put the link in the show but we have an annual membership like a subscription program.

[00:46:10] Paul Roetzer: And Mike and I, as part of that do a quarterly report. So we’ll actually a dedicated one hour with that group, each quarter to kind catch up on that. then the other thing say is like. Create an AI council be a part of an within your organization and have one of the pieces of council

[00:46:28] Paul Roetzer: be meeting once a month to talk about what’s going on, what the trends and what, how do they matter to your organization?

[00:46:34] Paul Roetzer: So I, to summarize, focus on a AI like dip in once or twice a week to the macro level, unless you really, really want to go deep and, and,

[00:46:47] Paul Roetzer: and have the firehose effect.

[00:46:50] Paul Roetzer: So some more kind of career related questions here.

[00:46:53] How can I future-proof my career in AI, ensuring that my skills remain relevant as the field evolves? What are the best certifications for someone looking to gain expertise in AI and machine learning?

[00:46:53] Mike Kaput: Tyler says, I’m a 40 year old PR and communications professional. How can future proof my career in [00:47:00] AI, ensuring that my skills remain relevant as the field evolves?

[00:47:03] Paul Roetzer: What are the best certifications for someone looking to gain expertise in AI?

[00:47:10] Paul Roetzer: so again, I don’t want this to sound self promotional, but like what we’ve built the Institute is meant to be a journey people. So we envisioned years ago, what would it take to achieve mastery of the topic of

[00:47:24] Paul Roetzer: AI? And then I’ve been working on building this learning journey for the last three years, basically.

[00:47:30] Paul Roetzer: So for us, intro AI, like fundamentals of AI. it’s piloting AI, which is the core series I mentioned the beginning. That is okay, you understand fundamentals. figure how to apply this to your career. Go deeper like the macro of what is AI? Why it matter? the key players?

[00:47:49] Paul Roetzer: do I build, you know, support for it in my organization? Use cases, tools. do I adapt learning journey? that’s piloting AI

[00:47:59] Paul Roetzer: is the next step in [00:48:00] that learning for us. How do know, do I now this knowledge figure out how to operationalize in my career and within my organization?

[00:48:08] Paul Roetzer: And then the mastery membership I mentioned is kind of the, how do I now up on everything? So that is. Truly like the

[00:48:15] Paul Roetzer: vision I had like years ago, we’ve, finally have brought all this life. That being said, we’re just one option. We and give diverse points of We and be as objective possible

[00:48:27] Paul Roetzer: from all angles let decide what the information.

[00:48:31] Paul Roetzer: But we learn all of other. Different sources, like Coursera has a ton of great stuff. Like what’s Andrew, Andrew Oong’s is AI for Everyone. It’s like phenomenal course from Andrew Oong. And I think it’s free. Oong is the

[00:48:45] Paul Roetzer: founder, co founding member of

[00:48:47] Paul Roetzer: Google Deep Brain or Google Brain before he left and on and he Coursera and he’s amazing AI leader.

[00:48:55] Paul Roetzer: There’s a ton of stuff on LinkedIn learning. There’s some amazing people to follow on [00:49:00] Twitter that, you know, can really curate information. So I think you got to kind of

[00:49:04] Paul Roetzer: find. again, those threads, find the who specialize in PR and communications, like

[00:49:10] Paul Roetzer: whatever you want to do, find the influencers, thought leaders who are talking about that topic there, and And then and find these other courses.

[00:49:17] Paul Roetzer: In terms of specifically around certifications, I don’t know, than the ones we offer. think LinkedIn Learning both offer certificates based on completion. Google offers free AI training. They’ve got some very approachable AI business. IBM has some stuff, Amazon has some stuff.

[00:49:33] Paul Roetzer: So I would check with all those, know, frontier companies, cause they’re AI savvy workforce.

[00:49:40] Besides sharing on LinkedIn how I’m using AI, are there other ways to showcase my AI knowledge while looking for a job?

[00:49:40] Mike Kaput: Mandy asks, besides sharing on LinkedIn how I’m using AI, are there other ways to showcase my AI knowledge while looking for a job?

[00:49:50] Paul Roetzer: A couple things come to mind. So in Cleveland, we run an AI in CLE. So CLE is [00:50:00] short Cleveland anyone not Cleveland, for anyone who

[00:50:01] Paul Roetzer: doesn’t know that. we have quarterly AI and CLE events. Free

[00:50:05] Paul Roetzer: to attend they’re just networking events. We’ll get on average a hundred to 120 people and it’s just people interested in this topic. I think yourself in those kinds of groups,

[00:50:17] Paul Roetzer: whether they’re in person or virtual. Find where people like you, like minded, are congregating and start networking and building relationships with those people. The other thing, and this is like advice I would give, you back the day to college students when we doing like interviews for the agency, volunteer with non profit needs the help.

[00:50:39] Paul Roetzer: Like, Everybody needs to figure this

[00:50:41] Paul Roetzer: out. So find organization you care about, whose cause means something to you and offer to help them build an AI strategy, you know, use cases, find some free or affordable tools that they can use to, know, to drive donations or, you know,

[00:50:57] Paul Roetzer: audience or whatever it is, grow brand awareness.[00:51:00]  so apply what learning in a that benefits society. Like, I think those are, Two

[00:51:06] Paul Roetzer: great ways you do it. Uh, then, you know, that’s a very fast way to also then like build a reputation as someone who knows what they’re doing and build goodwill. And almost

[00:51:15] Paul Roetzer: all these nonprofits have boards that, you know, have people who are connected in, in, your community, industry. So yeah, I would think about a couple of ways to do that.

[00:51:26] What do you think AI’s role will be in strategy work as it evolves? Currently there’s a big emphasis on AI aiding with ops/content gen/repetitive work, but curious about its potential for coming up with business / marketing strategy

[00:51:26] Mike Kaput: Sevde asks, what do you think AI’s role will be in strategy work as it evolves? Currently there’s a big emphasis on AI aiding with, say, content generation or repetitive work, but curious about potential for coming with business and marketing strategy.

[00:51:42] Paul Roetzer: Yeah, so this is an interesting

[00:51:45] Paul Roetzer: one that’s highly relevant, to this morning. So I was, I was mentioning that I was working on, Scaling AI course series. And part that series, [00:52:00] I was developing a prompt to try and help organizations and individuals figure out which tasks AI has the greatest opportunity to help with.

[00:52:08] Paul Roetzer: And strategic planning, which requires advanced reasoning capabilities, is one things that, I was specifically interested in. So What think is going happen is, the next versions of models. We know OpenAI is now in training on their next model. They disclosed that yesterday, which I think already knew, but actually saying happening now.

[00:52:34] Paul Roetzer: they’re all going to continue to improve at their ability to do reasoning, to follow of a chain thought, a steps to an outcome. And the example, again, it’s I haven’t published this yet, but like showed to this morning, too. Gemini 1. 5, I gave it this prompt asked kind of analyze the job

[00:52:57] Paul Roetzer: of a marketing manager was the specific example [00:53:00] gave And I gave different exposure levels like the exposure that role those tasks AI assisting, replacing parts of the work. And one of the ones particular said like exposure given advanced reasoning capabilities. And it demonstrated Advanced reasoning capabilities to create the output that it gave me, and that it understands very deeply what’s involved in process of strategic planning, which I was away by, the was this.

[00:53:32] Paul Roetzer: shocking to me. so I think what’s going to happen is the reasoning capability is to get really good, really fast. And then people are going start infusing AI into all of strategic planning processes. would start experimenting it now. already probably better than you think it is, the end this year.

[00:53:53] Paul Roetzer: going to be like senior strategist level good. what I saw the I’m referring to [00:54:00] was senior strategist level good. Like if I, when I running my agency, and people don’t Mike and I together my agency. I sold 2021.

[00:54:09] Paul Roetzer: If I would have given I gave to Gemini to a senior strategist, I’m saying 15 years experience, no offense to Mike, one of top strategists

[00:54:22] Paul Roetzer: we ever had at the I’m not

[00:54:24] Paul Roetzer: sure I’ve ever employed a strategist who could have done what it did.  Like, did it in 30

[00:54:31] Paul Roetzer: seconds. Like Mike and other top strategists done it, was week’s worth work. It would have taken me a week to do what it output in 30 seconds. And I, checked work, I was like, geez,

[00:54:44] Paul Roetzer: like not did do it, it’s really, advanced, really good. So based on what seeing I know research labs working on and the importance of reasoning to them, I don’t see how AI [00:55:00] isn’t extremely advanced strategy assistant by the end of in, every large language model that may use Gemini, ChatGPT, Claude, all of them.

[00:55:12] Paul Roetzer: think it’s maybe the most underrated use case right now. Today’s models is a strategy assistant.

[00:55:21] As a former agency owner, what new AI-enabled services (offerings not previously possible before GenAI became available) would you be adding to your client service model?

[00:55:21] Mike Kaput: So William then, kind of with that context of your background as an agency owner, Paul, he asks, what new AI enabled services would you be adding your client service model if you were, you know, running an agency?

[00:55:37] Paul Roetzer: So I’m going to answer this specific agencies, but I’m going to make it applicable to everyone listening, this needs to either outside agency or it needs to be someone internally. So if you’re the person internally, I’m about to say is things could be building capabilities around and just doing it in house, which I think is a lot of are going to do.

[00:55:58] Paul Roetzer: large language models, strategy and [00:56:00] implementation. just talked about an example. If your team. if you take the leadership is unaware of Gemini 1. 5’s reasoning ability and ability to help plan, they’re completely missing major value creation right now without these models getting any better.

[00:56:18] Paul Roetzer: So people who deeply understand these models are not just text, but like multimodal models, what they’re of that can build strategies about to use them and then train and implement team.

[00:56:32] Paul Roetzer: Across

[00:56:32] Paul Roetzer: business, all functions of the business do them. Huge. AI education and training.

[00:56:37] Paul Roetzer: You’ve got to have people who can teach stuff. The fundamentals, the ongoing process. that learning journey I talked about earlier, every organization needs that. And we’re going to need people within these organizations or outside agencies, consultants who can help do it. tech integration.

[00:56:53] Paul Roetzer: Again, you look at the script, integrating it, like, you know, the podcast, for webinars, online courses, got to have people [00:57:00] understand deeply the tools so that they can do the integration and onboarding. Change management, massive. There’s change management happening around AI in organizations

[00:57:09] Paul Roetzer: we talk to.

[00:57:10] Paul Roetzer: it is going to be required in every organization. Like today, they know what

[00:57:16] Paul Roetzer: they’re doing,

[00:57:17] Paul Roetzer: but I don’t see how one to two years out every single organization doesn’t have some form of AI change management. being implemented. AI agents is sort of like on

[00:57:26] Paul Roetzer: the frontier

[00:57:27] Paul Roetzer: coming thing. ability to work with them, to build them, to have them trained to work together, to envision how they work together, all those things.

[00:57:36] Paul Roetzer: And then just augmented creativity, being able to enhance what

[00:57:39] Paul Roetzer: you’re capable

[00:57:40] Paul Roetzer: doing, adding video capabilities, adding image capabilities if you didn’t them, audio capabilities, like these the models are going to enable, people need to know how to use them. And there’s just very, very low understanding of

[00:57:52] Paul Roetzer: that stuff right now.

[00:57:53] If you were launching a marketing agency today, how would you approach scaling with AI tools?

[00:57:53] Mike Kaput: A few other kind of agency related or adjacent questions here. Gabriela says, if you were [00:58:00] launching marketing agency today, how would you approach specifically that scaling, scaling up with AI tools?

[00:58:08] Paul Roetzer: yeah, so I, I, I’ll answer this specific to agencies, but applicable to everyone, the, the way we teach every company, if you want to scale is five steps, education and training. So AI literacy, council, like a body of people who

[00:58:23] Paul Roetzer: have the authority to move this at least, whose opinions are respected or they can support them moving forward. Generative AI policies,

[00:58:31] Paul Roetzer: responsible AI principles, number three. AI impact assessments of team, your partners, your tech stack, your products and services, like is the impact this is going to have in the next to three years? And then fifth is build an AI roadmap. Like to, to scale, you need do all of those things.

[00:58:50] Paul Roetzer: They don’t have happen all but you have to have a plan to do all them. literally just like, what is a smarter version everything we do? I think about all the time for the Institute. The Institute is [00:59:00] media, education. Those are like the three. Main arms of what do, AI research and consulting are sort of emerging areas.

[00:59:09] Paul Roetzer: day I think about what’s a smarter version of this. time we’re going to launch an event, a new virtual summit, we’re going to doing more research. I look and I say, okay, would I have done this historically? How could I do a smarter version of this? would think about that every service I launch, every internal process we go through regularly. Every revenue model. And then if I’m from the ground up, I’m, I’m going to say, how do I do with the fewest amount of people possible,\

[00:59:34] That isn’t a bad thing.

[00:59:36] Paul Roetzer: Like, so you have to, you have to separate this out. And Mike, you and I’ve talked about this before, like if you’re an existing company.

[00:59:42] Paul Roetzer: Thinking of AI as a way to get rid of people is not the right approach. I’m not an advocate of that at all. If you’re building from the ground up, building with fewer people isn’t a bad thing. Like, building a more efficient, profitable business that creates more fulfilling careers for the people that are there,

[00:59:59] Paul Roetzer: It just [01:00:00] means you have to hire fewer people to get to where you want to go.

[01:00:02] Paul Roetzer: So when you’re running an agency, maybe your revenue per employee annually is 150, 200, 000, maybe 250, if you’re kind of a leading agency, that’s how much money each employee generates.

[01:00:14] Paul Roetzer: don’t see any reason why an agency starting today, that number shouldn’t be a half a million to 750, 000 per employee. So if you can build a business where you’re generating 2 to 3x revenue per employee, and that person’s still only working 40 hour weeks, that’s, that’s great for everyone. And I think that’s what people should be thinking about.

[01:00:35] If you were leading a college degree in marketing, what would you do to ensure that your students are prepared for the future with AI?

[01:00:35] Mike Kaput: Okay. So kind of switching the topic area here, Rob asks, if you were leading a college degree in marketing, what would you do to ensure that your students are prepared for future?

[01:00:53] Paul Roetzer: So about seven years ago, made an argument to a major university that intro to AI should be a [01:01:00] required class for every freshman.

[01:01:02] Paul Roetzer: this is long before ChatGPT. my belief at the time, my belief still today is everyone in every profession, every major should take intro to AI and should understand the fundamentals so that they can connect the dots about the impact

[01:01:16] Paul Roetzer: it’ll have on their career.

[01:01:18] Paul Roetzer: their career path, the, the industry that they go into. So I would start with that fundamentals within a marketing degree, for sure. I would focus on deep integration of AI into every aspect of the curriculum, specifically around the experiences that are created. I would bring in tech demos, either by outside experts or by students.

[01:01:37] Paul Roetzer: I would enable students to share best prompts. I would think of it as an aid to critical thinking. We

[01:01:43] Paul Roetzer: still have to develop critical thinking, strategic thinking, Reasoning capabilities, but I would have AI help accelerate the development of those things. I would try and figure out how to do personalized learning around it. But going back to like

[01:01:58] Paul Roetzer: the infusion and everything, I would [01:02:00] just think about every assignment you’re giving and say, how can AI be an assistant in this assignment? And then I would have that be part of the process. Like, okay, I’m giving you this assignment

[01:02:11] Paul Roetzer: to go do a total addressable market study. I want you to use Google Gemini 1.

[01:02:18] Paul Roetzer: 5 in the process. As part of your deliverable, I want you to walk me through the prompts that you provided,

[01:02:27] Paul Roetzer: how you, you know, had a conversation with AI, the follow on prompts you had, what you learned from like, I would teach them how to infuse into

[01:02:35] Paul Roetzer: what they’re doing, but make sure they’re thinking critically about the outputs they’re getting, and that they’re getting better and better at, Knowing how to prompt the system to get what they’re looking for and then how to verify sources, vet those citations, like things like that.

[01:02:51] Paul Roetzer: It’s what’s going to be asked of them in the real world. And I think that the sooner in, in high school and college, and even into like primary school, the [01:03:00] sooner we teach them how to work with the tools, um,

[01:03:03] Paul Roetzer: more capable they’re going to be when they get into the professional world.

[01:03:07] With the advances in AI and the capabilities of instant knowledge transfer to anyone at anytime, do you think we’re approaching the end of the need for the education system? At least the way that is is currently constructed. If so, what do you think the next evolution of education will look like?

[01:03:07] Mike Kaput: Okay, so Brian then kind asks a great follow on related to education, like, given the advances of, in AI and the capabilities of essentially instant knowledge transfer to anyone at any time, like, are we approaching the end the need for the education system?

[01:03:25] Mike Kaput: At least the way it’s currently constructed, like, what do you think next evolution of education looks like?

[01:03:32] Paul Roetzer: I want to believe that. There’s

[01:03:35] Paul Roetzer: going to be a place for higher education. Like, I think that look back on my time at university,

[01:03:42] Paul Roetzer: so much more to college experience than, than just, you know, the classes. it’s just such a valuable experience, in so many ways, and it teaches you a diversity of thinking.

[01:03:57] Paul Roetzer: Like, it, it teaches you how to work in groups. It teaches [01:04:00] you, how to build relationships and, you know, work with mentors and like, I don’t, I don’t know. Like, so at a high level, I think there’s just so much value to higher education. that being said, it has its deficiencies and it’s really expensive.

[01:04:18] Paul Roetzer: And as a parent of someone who’s going to have, you know, college aged kids in five, six years, you do start to wonder, like, is it worth it? that costs, don’t even know,

[01:04:29] Paul Roetzer: 50, 000, 100, 000, like whatever a college education costs these days, if I, if I don’t think that they really need what they’re going to learn there.

[01:04:37] Paul Roetzer: So, I don’t know, like I’m not deep in higher ed, uh, but I’ve spent a lot of time with higher ed leaders, and what I know about it is change is really hard in higher education, you know, to, to progress a university, you need professors who Welcome the change. My experience has been there are [01:05:00] amazing, innovative, forward thinking professors in every university.

[01:05:03] Paul Roetzer: And then there are a bunch of them who don’t want to learn the new thing and don’t want to teach the new thing. And so they’re going to be resistant to AI and it’s just straight plagiarism to them and I don’t care what you say to me, like there’s going to be those people too, and if I was a parent paying 50, 000 a year for a higher education and half of my, my kids.

[01:05:26] Paul Roetzer: Teachers didn’t want to teach AI, I would have a serious problem.

[01:05:32] Paul Roetzer: so I think that as it becomes a more integral part of corporate life, as more business leaders who are parents, who have kids college age, Start asking around like, well, what are you learning? Are they teaching you how to use Perplexity?

[01:05:45] Paul Roetzer: Are you learning how to use Gemini? Do you have Microsoft Copilot? Cause that’s what I’m using at work now. And if the answer is no, you’re going to start getting a lot of backlash from parents who are unhappy about the lack of AI literacy being infused into higher

[01:05:59] Paul Roetzer: education. [01:06:00] SoI don’t think this is like flip a switch next year.

[01:06:02] Paul Roetzer: Higher ed’s got an AI problem, but I do think that. In the years ahead, we’re going to start running into some major problems if universities haven’t adapted to infuse it more deeply into what they’re doing.

[01:06:14] What technological moment needs to happen to allow AI applications like ChatGPT to cross the chasm to early/late majority of users? Within the tech community there is very heavy use, but if you look around other industries (even outside of Marketing within companies), there is still very limited use outside of curiosity.  Is it a matter of it being embedded into iOS or some other event?

[01:06:14] Mike Kaput: Anuj asks, what technological moment needs to happen allow AI like ChatGPT to cross chasm to the early slash late majority of users? So, you know, within the tech community, there’s very heavy use, but if you look at other industries, It seems like there’s still very limited use outside of Curiosity.

[01:06:35] Mike Kaput: Is it a matter of being embedded into iOS or some other event?

[01:06:39] Paul Roetzer: could be a mix of being embedded into the platforms, but right now, Like Copilot, Gemini, um,

[01:06:50] Paul Roetzer: like someone’s got to buy those licenses. I, you know, it’s usually, know, the IT side coordinating it, CIO’s office. somebody’s got to get [01:07:00] the licenses for the 20, 30 bucks a month. is not insignificant when you’re about of licenses.

[01:07:06] Paul Roetzer: And then somebody has got to teach them how to use the tools. So the procurement part is easier because you can go get the budget to get 500 licenses start

[01:07:18] Paul Roetzer: testing them. Where we’re seeing the disconnect is the teaching of the people of how to use them. So if, if we go grab a thousand copilot licenses today and we get, you know, approval for 12 months.

[01:07:32] Paul Roetzer: And six months from now, only 200 of those licenses have even been distributed to the team and no one did any benchmarking of performance before or after, and nobody did proper onboarding of how to use

[01:07:44] Paul Roetzer: them and taught them, here’s the top 10 use cases for you, accountant, for you, marketing manager, for you, uh, engineer.

[01:07:52] Paul Roetzer: If no one’s done that part, then what’s, what’s the value going be?

[01:07:56] Paul Roetzer: And now we’re going to be, you know, at the end of the license saying, did we get the value for the thousand [01:08:00] licenses and be like, nah, like utilization rates are like 10%. So my argument is we have a literacy problem until we solve AI literacy, until we solve.

[01:08:10] Paul Roetzer: a understanding across organizations of what is possible, then we’re going to have disappointment with these tools and we’re going to have a, uh, a bit of a mirage. We’re going to think

[01:08:22] Paul Roetzer: that they’re not as good as they’re, they’re said to be. They’re not as valuable as they’re said to be, but it’s actually user error, not the fault of Google. And so I’ve seen that time and time again, meeting with big enterprises that they’re going and getting licenses for things, and then they’re just not properly onboarding people and teaching

[01:08:41] Paul Roetzer: them what they are. And you got a bunch of people who are like afraid these things are going to put them out of jobs.

[01:08:44] Paul Roetzer: Like not in a big hurry to like figure out how to use them. So AI literacy and change management, without those, we will continue to not

[01:08:53] Paul Roetzer: have, you know, deep adoption.

[01:08:55] As people give AI agents like GPT-4o and Astra access to their cameras and show it their homes, offices, desktops and documents, shouldn’t we be asking questions about privacy and security? Do we trust these companies so much? Is there a risk of increased government surveillance here?

[01:08:56] Mike Kaput: Diego asks, as people give AI like GPT 4. [01:09:00] 0 access to their cameras and show them things like their homes, offices, desktops, documents, shouldn’t we be asking questions about privacy and security? Do we trust these companies so much?

[01:09:12] Paul Roetzer: So this goes to the law uneven AI distribution and the acceptance variable. Do we accept what we have to give up to get

[01:09:19] Paul Roetzer: benefit?

[01:09:19] Paul Roetzer: This is 100 percent problem in enterprises, our personal lives. I’ve said on the podcast for better, worse, Apple probably the company I trust the most. episode 101,

[01:09:32] Paul Roetzer: we’re actually going to talk about a new, uh, report from the information that came out today about Apple’s efforts to keep

[01:09:39] Paul Roetzer: your data Private on the iPhone when they introduced their new language model capabilities in June. Yeah. So this is why like HumanePin and Rabbit and like all these startups, whether they’re device companies or software companies are going to have major adoption problems

[01:09:59] Paul Roetzer: the savvy [01:10:00] consumer is like, I don’t know who this company is, like, I’m not trusting them with my data.

[01:10:06] Paul Roetzer: You know, we heard about this with like Roomba and stuff, like

[01:10:09] Paul Roetzer: like robots in your home that were able to map like your house and where things are, like, that’s kind of weird or like cameras that, you know, you put in your house, some people choose to put them in their like baby’s rooms. Those cameras have computer vision, employees at those companies have access to that data.

[01:10:26] Paul Roetzer: it’s a problem, like, and so people are going to have choices if they’re educated on how these tools work and where that data resides.

[01:10:37] Paul Roetzer: then they’re, they may make the choice not to do it.

[01:10:41] Paul Roetzer: problem most people have no clue how computer vision works, how it recognizes people and objects through those cameras.

[01:10:50] Paul Roetzer: And so the same thing is going to, you know, kind of follow on over. A lot of people are just like, I don’t care, like, whatever, it’s got, my iPhone’s always listening to me anyway. Like I’m just [01:11:00] going to do it. so it, it’s just. Yeah, but the short answer,

[01:11:05] Paul Roetzer: privacy, security, major problems, it is going be a recurring theme you’re going to hear about as AI,  you know, diffuses throughout society.

[01:11:14] How do you see regulation affecting AI? In particular, how it will benefit (or hinder) some economies more than others. For context, we are seeing a lot of different regulations being put into place by different governments, trading blocs and corporations, which could impact development and productivity. As an example, in Europe, we only just got access to Claude and the Gemini mobile app is not yet available, so we are technically behind everyone else when it comes to understanding and using those models.

[01:11:15] Mike Kaput: All right, Paul, last question. Made it. This comes from Guy. How do you see regulation affecting AI? In particular, how will it benefit or hinder some more than others? For context, we’re seeing a lot different regulations being put into place by different governments, which could impact development and productivity.

[01:11:36] Mike Kaput: In Europe, we only just got access to Claude, and the Gemini mobile app not yet available. So we’re technically behind everyone else when comes to understanding the world. and using those models.

[01:11:48] Paul Roetzer: So this definitely goes to the LLAMA on even AI distribution. This is the accessibility variable. Company may not allow it. Country not allow it. State shut it down. If you’re in California, they got [01:12:00] kinds of stuff going on there. in the U S I think, you know, we’ve talked about, there’s like 700 pieces of AI legislation and varying, know, degrees being pushed forward.

[01:12:09] Paul Roetzer: Regulations going to be part of this story.

[01:12:12] Paul Roetzer: You know, how it affects it and where it goes and, you know, whether it slows things down, we just don’t know. certainly different countries, know, already seeing that EU AI Act is absolutely gonna play a role. Like, there’s probably really good aspects of it.

[01:12:28] Paul Roetzer: There’s probably parts that gonna, know, slow down some progress as well. So

[01:12:35] Paul Roetzer: and this again goes back to that, idea find your thread. Like, if this something you’re really interested in, go deep on it. be, be an expert in AI and regulation. Like a fascinating area of study.

[01:12:44] Paul Roetzer: Like I don’t, I don’t have a ton of time to on it, but could spend

[01:12:48] Paul Roetzer: a day a week just Processing what’s going on in this space. So, yeah, part of the story. And Mike, I’m going to throw a curve ball here.

[01:12:56] Paul Roetzer: I’m going to with like a really of upbeat thing. [01:13:00] Um, go first, but like when we think about all this, like there’s a lot of daunting things.

[01:13:05] Paul Roetzer: There’s regulation, there’s privacy and security, there’s lack of adoption. There’s being frustrated in their corporation because not moving fast enough. there’s all this amazing potential. And so I want to end with, are we most excited about? So Mike, knowing everything we know, all

[01:13:21] Paul Roetzer: the stuff we talk we see and do, what are you most excited about with, say, the next  year AI?

[01:13:28] What advancements in AI are you excited for in the next year?

[01:13:28] Mike Kaput: I think you alluded to mine, uh, in, when you were talking about AI being underrated for strategy. What I’m most excited about is the idea people

[01:13:37] Mike Kaput: still really underrate the idea of AI as intelligence on demand. Like, I’m not kidding when I say it’s, It’s super exciting to me has actually happened that through use of these tools I’ve easily gotten functionally a 20 point IQ bump, which would have been impossible any other means and is only going to grow.

[01:13:57] Mike Kaput: So with all the doom and gloom, which I very [01:14:00] much feel, it’s amazing to be to go have this incredible new affordable tool to go really solve interesting intellectual knowledge work problems. And I think we’re just scratching the surface.

[01:14:13] Paul Roetzer: Yeah, I love, I love that one. Um, so

[01:14:16] Paul Roetzer: for me, I I’m going to cheat going to do two. So at a high level scientific discovery, I’ve said this think it’s going to be a golden age of scientific discovery, know,

[01:14:27] Paul Roetzer: for diseases, solutions some of the biggest we faced humanity. Like I, think we’re just knocking on door

[01:14:33] Paul Roetzer: of amazing breakthroughs, know, in the next to 10 years. on business side though, I think

[01:14:42] Paul Roetzer: find the idea building like an native or AI company. Amazingly, invigorating. Like, when think about our own business, how do I build a smarter version a media company?

[01:14:54] Paul Roetzer: How do I build a smarter version of an event company? How

[01:14:56] Paul Roetzer: do build a smarter version of an online education business, a [01:15:00] research firm, like as someone who’s been, mean, I’ve been in this, 25 years. I in 2000. I feel like as excited as day one, because anything’s possible now. Like I can just look it and but there’s no rules.

[01:15:14] Paul Roetzer: Like there’s nothing saying can’t build company 10X what are today with like more people. And those people have amazing lives and amazing careers. And we can create financial independence for and their Like, and we can help thousands of figure this like can do all that.

[01:15:32] Paul Roetzer: we don’t need a hundred people or thousand people

[01:15:35] Paul Roetzer: it. That’s kind of the Moderna one. Like back, going back case

[01:15:38] Paul Roetzer: studies, like we’re going to accelerate drug discovery. We’re going to launch like whatever, 10 new in five years, whatever it was. You used to need a hundred thousand people.

[01:15:46] Paul Roetzer: Now we can do it with a thousand. I feel that way for any business right now, where you can build smarter from the ground

[01:15:53] Paul Roetzer: entirely new ways where you’re going to like a first principles approach, like, what I do if, if I didn’t have [01:16:00] all like our existing financial model, I didn’t have, I was in Asia, didn’t Bill Blauer’s to worry about, or if I didn’t have this, what I do if I higher education didn’t have this legacy stuff us what would I build?

[01:16:12] Paul Roetzer: I just think the, the, the fact we can ask that question, what would I build if anything was possible? What it is Hmm. that that’s, it’s so inspiring as an entrepreneur to be able to look out and see a smarter version. Of businesses being built in industry. And because have the knowledge we have able to help people bring those to life.

[01:16:34] Paul Roetzer: Like that’s awesome. And I when I get asked, I asked this yesterday, like, how do you sleep at night? Like people were asking me all these like hard, big picture questions.

[01:16:42] Paul Roetzer: And I think part of the way I do is I balance it with these thoughts that it doesn’t have to be doom and gloom. It It can be abundant.

[01:16:50] Paul Roetzer: It can be amazing. It can be inspiring. We can reinvent and reimagine everything. And I the people who choose to latch on to that mentality [01:17:00] have tremendous opportunity to build incredible things forward.

[01:17:04] Mike Kaput: That is an awesome note to end this on. I am also excited for the next hundred episodes of the podcast.

[01:17:12] Paul Roetzer: It’s been 100So yeah, thank you everyone for listening. Thanks to everyone who submitted questions for this.

[01:17:19] Paul Roetzer: Mike, thanks always for the work you do to all this in an order. We can talk about it every week and showing up every week with me to do this. It is, it’s a lot show up every week, but I wouldn’t have it any other way right I think it’s, it’s such an amazing time to be living through what may end up being the biggest transformation in business and human history. And like get row seat to it. We get to talk it every week. So we’re glad and grateful that you all listen.

[01:17:47] Mike Kaput: Awesome. Well, thanks Paul. And thanks everyone for sticking with us for however many episodes you’ve been with us, here’s the next hundred and we’ll see you again next week.

[01:17:57] Paul Roetzer: Thanks for listening to The AI [01:18:00] Show. Visit MarketingAIInstitute. com to continue your AI learning journey. And join more than 60, 000 professionals and business leaders who have subscribed to the weekly newsletter, downloaded the AI blueprints, attended virtual and in person events, taken our online AI courses, and engaged in the Slack community.

[01:18:20] Paul Roetzer: Until next time, stay curious and explore AI.

How Much Does It Cost To Develop a Justlife-like On-demand House Cleaning App?

How Much Does It Cost To Develop Justlife-like Top On-demand Home Services App UAE?

Driven by the evolution of digitization, organizations are constantly finding ways to provide solutions for people’s daily issues. They believe that offering the most sought-after solution is the best possible revenue model in this ever-competitive digital age.

On-demand home services apps like Justlife will come into this category. Demand for Justlife-like home cleaning and household maintenance is increasing worldwide. Whether you need regular home cleaning support services or Salon & Spa-like personal care services at home, Justlife-like mobile apps are meeting the desired home services needs of people in the UAE.

What Is Justlife and What It Does?

Justlife is the GCC’s #1 on-demand home services app. This easy-to-use home services app helps people to book a range of at-home services like house cleaning, laundry & dry cleaning, house repair services, AC & Furniture cleaning, etc.

Justlife has become the #1 online platform in the Middle East to get healthcare services like at-home lab tests, at-home physician visits, and IV therapy at home. Further, the Justlife app has also been recognized as the UAE’s most useful app for booking professionals for pest control, pet grooming, and at-home car wash services.

Hence, people in the GCC region can book trusted cleaners who are specialized in nearly 30+ home services seamlessly. Moreover, its safe and convenient in-app online payment services have made Justlife the user-friendly and reliable cleaning service app in Abu Dhabi, Dubai, Sharjah, Ajman, Jeddah, and Riyadh.

This top Home Services, Cleaning & Spa is available on Android and iOS app stores to download for free and use. It has got 4.7/5 star rating and is being used by over 2 million customers.

Here are a few awards to Justlife:

• Time Out Dubai has awarded Justlife with the “Best laundry services in Dubai” title for its top-rated at-home laundry services
• Zawya-a leading source of regional news and intelligence in the UAE titled Justlife as the best app to get “disrupting on-demand services”
• The UAE’s most useful apps recognition by The National, UAE
• Emirates Woman- a top women’s fashion and lifestyle brand in Dubai says that Justlife is one of the best apps that make life in the UAE a bit more convenient.

If you want to develop Justlife-like top Handyman booking apps and create a brand buzz in the UAE, here are the features that you must add to the Justlife clone app. On-demand house cleaning app development with the below features and functionalities ensures robust performance and meets all home services needs of your esteemed audience.

Must-Have Features In On-demand Home Service Apps

Top-rated home cleaning services apps or dry-cleaning & shoe cleaning services applications like Justlife needs the integration of the below features.

Significant features of GCC’s #1 on-demand home services app-Justlife for user panel development

• Easy Registration, Simple Login & Hassle-free Access

UAE’s leading at-home laundry & cleaning services apps like Justlife allow users to log in using their Email ID, contact number, and also through social media IDs. It will increase the signup flexibility and optimize user expiries. Hence, offer your app users a stress-free register and login processes to achieve a high user retention rate.

Justlife-like #1 online platform in the Middle East has become a top-rated home cleaning service with its user-friendly custom search feature. This feature makes the user’s search simpler and helps them to find the handyman who is an expert in specific skills.

On-demand home cleaning and maintenance services apps help users to book a fully trained professional at their convenience. It means users can check the availability of a service provider and book time slots according to their timing flexibility. This feature will improve the user satisfaction level and improve their app experiences.

This feature allows users to easily confirm their home services with simple clicks. USM Business Systems has a team of expert on-demand mobile app developers and designers who can build the most user-engaging apps in a short time.

Get a free app quote for On-demand home services app development!

 

• Cashless Convenience/Online Payments

It is a basic feature of any on-demand service app to offer a convenient and flexible online payment facility to users. By integrating multiple secure online payment gateways, on-demand service apps like Justlife allows users to pay for their services in various payment modes at their convenience. This feature increases app’s personalization and grabs the user’s attention.

This feature allows users to pin their locations and plays a significant role in navigating the handyman to reach the user’s locations and find the nearest routes to deliver services. Further, adding GPS navigation system will also allow users to track the real-time location of the service provider right from the application.

• Rebook the Service Or Repeat The Order

It is the most convenient feature that must add in on-demand home cleaning or laundry services apps like Justlife. It allows users in rebooking their previous services without any hassle. Adding this feature will prevent the need of searching and finding handymen, thus saving a lot of users’ time and improving their app experiences.

It is an advanced Artificial Intelligence (AI) based feature that helps to resolve customer queries efficiently, thus ensuring high-quality customer support services. Integration of AI Chatbot feature in on-demand home services apps will allow users to interact virtually and get instant and accurate responses in no time.

• Cancel Orders or Reschedule Orders

It is a user-specific feature that allows users to reschedule their bookings or cancel their orders at their convenience. Adding this feature to on-demand home services apps will increase the application’s reliability and user loyalty.

The development of an on-demand service delivery app with this feature will help users to review their previous and ongoing booking details.

A common but the most efficient feature that adds value to the on-demand home cleaning, spa at-home, or healthcare at-home services apps like Justlife. This feature helps service providers or app admins to trigger notifications on recent activities of users like payments, orders, bookings, arrival status, offers & deals, and so on.

Hence, the push notifications feature creates a communicative or interactive platform between service providers/admins and app users.

• Ratings and Reviews/Feedback

It is a user-friendly feature that allows users to give ratings and feedback. It helps users to express their experiences and assists service providers in improving the quality of services as per their user’s demands or needs.

Let’s look at a few features for vendor panel development.

Top features for the vender’s panel Development of on-demand home cleaners or handyman booking app:

• Quick registration: To register into the application or list their services in the app
• Easy signup: To access the application features
• Vendor profile: To better manage the accounts
• Order management: To accept or reject bookings/orders
• Payment status tracking and management: To track the completed or pending money transaction statuses.
• Location navigation: For easily navigating to the customers’ locations
• Review and ratings: To check the feedback given by the customers and respond instantly from the app.
• Push notifications: To send alerts to the customers about booking requests acceptance and deals & discounts and improving interactive levels and user experiences.

 

Similarly, on-demand home cleaning, laundry & dry cleaning, and AC cleaning like mobile app development, need to be developed with an Admin panel for efficient management of application performance and customer-to-service providers interaction levels.

Here are best-in-class and must-have features to develop the Admin panel of Justlife-like a UAE’s top home services app development.   

Must-Have Features For Admin Panel Development

• Dashboard View: It allows admins to monitor the details of orders (completed & ongoing), payments, and helps admins better manage the application
• Vendors and Users Management: It will assist admins in better managing service providers and users.
• Transactions and invoices Management: It will allow admins to validate and verify the online transactions and generates digital invoices
• Price Mappings: Based on the demand for the services and market dynamics, admins can set prices
• Reviews and Ratings Management: It allows users to view customer feedback and vendor responses. Further, using AI and ML-based features, admins can identify the fake reviews that threaten the app’s credibility.
• Reschedule Management: This feature helps admins to modify the services as per the user’s convenience and assign other professionals available at that time.

Recommend To Read: How Much Does It Cost To Develop An App Like Urban Company App?

How Much Does It Cost To Develop a Justlife-like On-demand House Cleaning App? 

The cost of on-demand at-home laundry services app development like Justlife depends on various factors such as:

• Mobile app development platform: Android, iOS, and Web OS
• The design complexity of User Interfaces/User Experiences (Simple, medium, and complex)
• Be it android app development or iOS app development, features & functionalities of the mobile app will impact the final development price

• Tools and technologies used in the design and development of on-demand home cleaning and spa at home delivery services apps like Justlife
• Team size and industry expertise of mobile app development company
• The geographical location of the custom mobile application development company
• Number of hours involved in the on-demand home services app development
• Customer software development model you choose
• Third-party integrations will also sometimes costs too high

All the factors that we discussed above will impact the final cost of the UAE’s trending home cleaning and maintenance services delivery apps like Justlife.

On considering all the above factors, the estimated cost to develop an on-demand services delivery app like Justlife will range from as low as $20,000 to $45,000. However, by adding advanced features like AI chatbot, location tracking, and user search behavior tracking functionalities, the development cost of on-demand service apps might reach $60,000+.

Are you looking to hire the top mobile app developers in UAE, Middle East?

USM Business Systems is one of the best mobile app development companies in the UAE. With proven expertise in the design and development of trending eCommerce, marketplace, or on-demand service delivery apps, our custom app developers build feature-rich mobile apps (on Android and iOS platforms).

Let us discuss your app requirements and get a free quote for on-demand service delivery app development!

Get In Touch!

Google CEO Sundar Pichai is facing tough questions about the company’s rollout of AI Overviews. Continue reading “The Growing Backlash to Google’s New AI Overviews”

Best 10+ Grocery Delivery Apps In The USA 2024

The online delivery businesses, especially during the post corona pandemic have witnessed tremendous growth. Supermarkets or e-commerce players are engaged in delivering groceries, kitchen essentials, home essentials, and all personal care products directly to the doorsteps of the customers.

On top of all, grocery apps have created a trend across the global markets. Grocery mobile apps never compromised on user comfort and convenience. These apps are helping people to order fresh groceries online and get them instantly within 30 minutes.

Driven by the people switching to safe and convenient door delivery services, the demand for online grocery delivery apps across the world has crossed the sky limit. This trend is giving wide opportunities for Grocery delivery application development for Android and iPhone.

Though thousands of grocery apps are available in the Google Play Store and Android App Store, Grocery Delivery App Development is still a hot topic in the industry and heading towards a success milestone.

Today, we would like to talk about a few best grocery delivery apps (Android & iOS) in the USA. These food and grocery delivery apps reported a million downloads and have helped the citizens of America a lot during the nerve-racking pandemic.

If you are looking ahead to developing grocery apps or food delivery apps, you can clone any of the below-listed apps for tasting the successful results as soon as your app was launched.

Let’s get started!

Top 10 Grocery Delivery Apps In The USA      

#1. Walmart- The largest online grocery delivery apps in the USA

Walmart is an American–based multinational online retailer. As of 2021, the app has been downloaded by nearly 50 million times from Google Play Store. And, approximately ten million times it has been downloaded by iPhone users.

This one-stop online shopping app has ranked as the fourth largest US top shopping app beyond Amazon, Shein, and Shop. In terms of grocery delivery services, it is leading the industry with its reliable, faster, easier, committed, safe and secure deliveries.

Users can order groceries, household essentials, and millions of other products from favorite and popular brands from the comfort of their places. 

#2. Kroger- Most popular grocery shopping & delivery apps in USA

 Kroger is the best online grocery delivery app in the USA, which is available for Android and iPhone. It offers the hottest coupons, deals, discounts, and other promotional offers to customers and optimizes its ranking in the USA’s online delivery industry.

From fresh vegetables, foodstuffs, pulses and spices, and frozen food to pre-packaged household goods, healthcare products, baby care products, beauty care products, pet care products, personal care products, and bakery and confectionery items, Kroger delivers everything.

The app gives the flexibility to users to shop online or offline and opt for pickup goods or door delivery. This concept also made Kroger the best online iOS app and Android grocery delivery application in the USA.

Secure and convenient in-app payments, in-app scanning facility, and order tracking facility are some user-friendly features of Kroger-like most-downloaded grocery app in America.

This popular grocery delivery app in America has been given a 4.8/5 star rating from over 1 million iPhone users. On the other side, the app is also featured on Google Play Store and given a 4.5/5 star rating by nearly 10 million users.

Recommend To Read: How Can You Reshape Your Traditional E-commerce Business With AI?

#3. Instacart- The Best Grocery Delivery Application In The USA for Android and iOS

 Instacart is a leading American grocery delivery app that operates across the USA and Canadian locations. It is giving stiff competition to Kroger in the USA. This famous online retailer has partnered with over 600 supermarkets and other retailers to ensure smooth services to its audience.

It is best useful for ordering groceries, fresh food, chilled beverages, snacks, alcohol, and many more products online from their favorite stores and getting them all at doorsteps in as fast as one hour.

One of the best features of the Instacart online delivery app is it offers same-day delivery or pickup of fresh or preservatives at flexible prices. Like many other on-demand grocery delivery apps, Instacart also gives its users the flexibility of self-pickup or door delivery services.

As of 2021, this San Francisco, California-based trending grocery delivery app has generated $1.8 billion in revenues and has over 9.6 million users.   

#4. DoorDash- A Popular Grocery App In The USA

DoorDash is one of the best and top-rated online food delivery apps in San Francisco, California, NYC United States. As of Statista, DoorDash is the most downloaded mobile app for online grocery ordering and delivery in the USA. It has reported nearly 39 million downloads and giving stiff competition to other players in the industry.

It allows users to order food and groceries from nearly thousands of nearby local supermarkets and restaurants across the USA, Canada, and Australia.

This on-demand grocery delivery application (Android & iOS) in the USA is popularizing with its user-friendly features that allow users to search for restaurants or supermarkets easier and order items faster. The app’s “Takeaway” or Pick up feature will enable users to order from home and collect and pick up their products in minutes.

Are you looking to hire the best grocery delivery app development company USA?

#5. Amazon Prime Now- Top Online Grocery Delivery Application For Android and iPhone

Amazon Prime Now is a free-to-downloadable grocery delivery app that is one of the top listed mobile applications in the USA. Millions of downloads, active users, and super excelling app performance made it one of the biggest on-demand delivery apps for android and iOS.

It’s simple UI and easy-to-access features are success stones for the Amazon Prime Now grocery shopping app. From electronics to groceries, users can order from favorite local grocery shops and retailers and get delivered to their doorstep within 2 hours.

Search local supermarkets/stores, hassle-free checkout, quick order, exclusive deals and promos, express delivery, scheduled delivery, real-time order tracking, easy return policy, and in-app card/wallet payments are a few user-friendly features of this popular USA-based grocery app.

Accordingly, Google Shopping, Shipt, delivery.com, 7Now, Imperfect Foods, Dumpling, Postmates, and CheckOut51 are other popular grocery delivery apps in the USA.   

Build A Grocery Delivery App Like Walmart and InstaCart and grab the market opportunities.

What Features and Functionalities Will Make Your Grocery App Successful?

We have discussed a few USA’s best grocery delivery apps for Android and iPhone devices. The core reason behind the success of these applications is their feature set. Yes. User-engaging features and functionalities are assisting these brands to survive competitively in this clone apps world.

Being the best custom mobile app development company in the USA, we have compiled a list of the best features that are required to create an outstanding grocery delivery application.

Must-have Features For Customer Panel 

• Quick sign-up and login
• Social media login
• Customized search feature
• Location tracking
• Product Categories
• Customized filters
• High-quality content
• Add To cart
• Wish list
• Smooth Checkout
• Apply Promos or discounts
• In-app payments or COD
• Order tracking
• Order history
• User Profile
• Push Notifications
• Ratings & Review
• Schedule Delivery
• Pickup or Door Delivery
• Manage Cart: To add or remove saved items from cart
• Rewards & Redeems

Must-Have Features To Develop Restaurant Panel

• Simple login
• Upload Products
• Upload promos, discounts, and deals
• Order Accept or Reject
• Status Tracking
• Order History
• Payment Management

These are must-have features that need to be added to your grocery delivery clone apps. You also need to add a few necessary features for developing Admin and Delivery Agent panels.

Must-Have Features To Develop Delivery Agent Panel

• Simple Registration and login
• Accept or reject delivery requests
• Geo location tracking
• Route navigation
• Orders delivered history
• In-app calling or chatting feature
• Payment history
• Reviews and ratings 

Must-Have Features To Develop Admin Panel For Grocery Delivery App

• Simple dashboard view
• Orders management
• Retail stores management
• Products management
• Delivery agent management
• Content management
• User profile management
• In-app product or brand promotion campaigns management
• Inventory tracking and management
• Reviews and ratings management
• Deals and discounts management
• Product categories management
• Conversion rates management

USM Business Systems is one of the best grocery delivery app development services providers in the USA. We help supermarkets and retailers to offer fresh Grocery Delivery services to customers.

Get an attractive grocery delivery app development quote!

The Estimated Cost Of Grocery Delivery App Development

 The cost of on-demand grocery delivery app for Android and iOS in the USA will cost somewhat around $35,000-$150,000. Since the hourly rate of mobile app development companies in India is low as compared to the USA app development companies, the grocery delivery app development cost in India would range from $18,000 to $55,000. 

If you are looking to hire the best grocery delivery app development company, then USM is the best custom app development partner for you. Our expert team of app designers and developers will help you in creating an ultimate mobile grocery delivery app at an affordable budget.   

Wrapping Up 

It is the right to clone app development. Since the above list of grocery delivery apps in the USA is creating a buzz in their niches, creating clone apps is a pretty good strategy. User-friendly grocery app development with advanced in-app tracking and e-wallet payment features will help you boost your online grocery business.

Being the best grocery delivery app development company in the United States, the team of USM’s app developers creates out-of-the-box grocery delivery solutions or multi-vendor grocery apps at affordable budget. 

Let’s build a grocery app that beats the clone app traffic in the app stores!

 

 

Tags: #Cost to build an app like Walmart,

How Much Does It Cost To Build Dating App?

Mobile Applications have alerted the way people interact with each other. Communication apps or video calling mobile apps have occupied more space in this mobile world. Along with these apps, people switching to dating apps is on the rise.

Downloads of dating apps for Android and iOS from Google Play Store and Apple App Store have been increasing every year. Mobile dating apps are giving flexibility to people to find and connect, chat, and meet others with their preferences.

Tinder, Bumble, and Badoo are the best dating apps that reported higher downloads. These intelligent mobile platforms are assisting people to find perfect soulmates and build relations if they are interested.

Ever like before, popular dating apps downloads and demand have reached peak levels during lockdowns forced due to the COVID-19 pandemic.

People are increasingly downloading Android dating apps and iOS dating apps to erase their boredom during lockdowns. Mobile dating applications allow people to find potential matches in seconds with gentle swipes.

Besides, since the dating apps are featured with video calling and multi-level user authentication, people are happily installing and spending blissful time to find their matches. These features are core pillars for the mobile dating app’s success.

This trend of dating app usage is ensuring plentiful business growth opportunities for enterprises. Most companies have already planned their budget for dating app development.

If you are looking ahead to Tinder-like dating app development, this article will help you out. Herein, we have given a complete guide on dating app features, functionalities, and app development costs details.

Here are three popular dating apps (for Android and iOS) usage statistics.

The Best Mobile Dating Apps That Occupied The Highest Share In the Category

Tinder, Badoo, and Bumble have occupied the majority of dating apps market share globally. Have a look at the below image to better understand the dating apps market share in this digital sphere.

 

 

Let’s dive deeper into the benefits, features, and convenience of the top three dating apps, including Tinder, Badoo, and Bumble.

1. Tinder- Number 1 Dating App For Android and iPhone

Tinder is one of the best dating apps which is available for both Android and iOS mobile users. It is creating a buzz in the online dating apps development industry.

In this digital age, in particular, COVID season, going out and having fun with friends and finding new people around will be like a challenge.

Especially, people who stay alone and need a company to share their thoughts and views are in the front line to download and use dating apps. The tinder-like famous dating app is the best buddy for such people. It is allowing people to find connections who meet their preferences in a pretty simple way.

Tinder is a modern app that runs seamlessly on both Android and iPhone mobile devices. Its simple and easy-to-use swipe and scroll feature allows people to search and like or dislike connections. This highly-secured dating app lets users swipe right to connect and chat with someone in mutual interest or swipe left to dislike contacts.

Further, its in-app video calling feature improves user personalization and enables users to call and build relations stronger. But, this feature is only accessible by Tinder users in the US, UK, Brazil, Australia, Spain, Italy, France, Vietnam, Indonesia, Korea, Taiwan, Thailand, Peru, and Chile.

Tinder has occupied the hearts of users. Such a huge success encourage it to launch premium subscription models. It has developed premium versions, Tinder Plus and Tinder Gold in 2015 and 2017.

Here are a few significant statistics of the Tinder mobile app:

• Tinder has over 100 million downloads as of Q22021
• It has over 75 million active users per month
• Nearly 6.2 million people are subscribing to this popular dating app to access premium features
• According to Statista, Tinder reported USD 1.4 billion in 2020 increased by 18% over 2019 (USD1.15 billion). The figure below depicts the Tinder app revenues from 2015-2020.

Here is the subscriber’s growth of Tinder-like dating apps for the past five years.

Talk to our app developers and Know-How much does it cost to develop a dating app like Tinder?

2. Bumble- Best Alternative to Tinder

Bumble is one of the best dating applications in the world. It has nearly active users. It has nearly 42 million monthly active users.

It is available for android and iOS. Bumble lets users start finding friends, building genuine relationships, and making huge networks.

Bumble is designed with a unique concept called- Women’s message first. It means if the opposite gender dint get any text within 24 hours, then the app automatically unmatched such connection.

Bumble’s gentle swipe and chat features enable the users to find perfect matches in minutes. The app also allows the users to connect with Spotify and Instagram accounts and share their interests with connections. This feature will help people understand better each other.

Further, bumble is also featured a video calling facility. This will allow users to have a safe conversation face-to-face digitally.

Here are a few significant statistics of the famous Bumble mobile dating app:

• Bumble has a total of 42 million active users
• It has 1.35 million premium subscribers
• Bumble has a 19% market share in US dating apps.
• The Bumble dating app has reported USD 337.24 million in revenues in 2020. Have a look at the below figure reflecting the growth of the Bumble app  

Are you looking to develop a Bumble-like dating application for Android or iOS?

Talk to Our App Development Consultants to know How much does it cost to develop a Bumble-like secure dating app?

3. Badoo- Top Mobile Dating App In USA

 Badoo has over 370 million global users spanned across 190 countries. It is the world’s second-largest dating app. Users can create connections, chat, date & meet. Video chat, verified profiles, and location-based navigators to track nearby people are the best features of this popular dating app.

Both free and paid versions of Badoo are available on Google Play for Android and the Apple App Store for iOS/iPhone users to download. 

Badoo dating app growth statistics 

• Badoo is reporting 3.9 million monthly downloads
• Reported higher downloads and revenue from North and Latin America

Get in Touch to Know How much does it cost to develop an app like Badoo!

 

Would you like to invest in dating apps development?

USM Business Systems is the best mobile app development partner for you. We are a leading dating apps development company in the USA. Our mobile app development team expert-level knowledge of mobile technologies can build mobile apps on Android and iOS platforms.

Now, let’s look at significant features and functionalities that make your dating apps more unique and customer-friendly. 

Must-Have Features Of Trending Mobile Dating Apps

Features and functionalities will decide the success of mobile apps. Be it a native app or hybrid app development, user-friendly features and simple UI design give it a big hit in the app stores.

Here are the must-have features of dating applications to offer an outstanding experience to your audience.

Required features for user panel:

• Simple registration and sign-in page- It allows users to register and create a profile to access the app features and functionalities.
• Flexibility to access the app through social media accounts
• The multi authentication process for ensuring high security
• Create or edit profile feature to add or delete or edit personal information, partner preferences, photos, etc.
• Push notifications- For sending alerts and updates on contacts
• In-app ads for generating additional revenues from the application
• Geo-location for tracking user location
• In-app chat feature for encrypted communication
• Send request feature to facilitate users to send the request for their interests to chat or date.
• Private albums- To upload photos
• Search and custom filters to find potential matches instantly
• Develop both Free and premium subscriptions
• Integrate the app with AR/VR capabilities to let users organize virtual dates
• Empower dating apps with Artificial Intelligence capabilities to intelligently respond to the user queries instantly
• Virtual gifts allow the users to send virtual gifts to their matches and strengthen their bond.

Required features for Admin panel

• User Profile management
• Multilingual support
• User location tracking and management
• Features and functionality management
• Screen management for monitoring the users switch to in-app pages
• Create and manage reports and analytics
• Tracking fake profiles and removing them for other conveniences
• Push notifications management
• Revenue tracking

Get a free app quote for the Android dating app.

 

Technology stack for Android/iOS Mobile dating apps development

 Programming Languages

• Swift
• Objective C
• Java
• Ruby/Cucumber
• Rubymotion

 Backend/API stack

• Python
• Bash scripting
• Mapbox
• JavaScript
• Elasticsearch
• MongoDB
• Redis
• AWS
• GoDaddy SSL

Dating App Monetization Strategies For Businesses

• In-app shopping ads
• In-app subscriptions for extra swipes, preferences, and emotions
• Premium subscription charges
• Synchronization of e-commerce platforms to create income

 

How Much Does It Cost To Develop A Dating App?

The cost of dating app development depends on its complexity level, features, functionalities, and the mobile app development company that you hire.

With 20+ years of experience in providing mobile and web application development services, USM estimates that the development cost of dating applications with basic features for a single platform (either android OS or iPhone OS) would be around $50,000-$72,000.

Talk to our expert Android and iOS mobile app developers to know the development cost of on-demand dating apps.

Get In Touch!