AI, Automation, and BIM-to-DWG Workflows in ARES 2027 with Anthony Frausto-Robledo


Architosh is well known for its Deep Dive reviews, offering detailed analysis of leading CAD, BIM, and 3D technologies. In its latest feature, “ARES 2027 Deep Dive: AI, Automation and BIM-to-DWG Workflows,” industry analyst Anthony Frausto-Robledo examines how Graebert is redefining DWG-based CAD through artificial intelligence, cloud connectivity, and advanced automation.

According to Frausto-Robledo, the defining story behind this release is clear: “The larger story in this release is AI.” At the center of this transformation is ARES AI Assist (A3), Graebert’s AI-powered CAD assistant, which has evolved from a traditional help tool into what he describes as “an active participant in the CAD workflow.”

A3 AI Assist Brings Artificial Intelligence into CAD Workflows

One of the most significant advancements highlighted in the review is the evolution of ARES AI Assist (A3). Rather than simply providing guidance or support documentation, A3 actively assists users throughout the design process, helping streamline CAD operations and automate repetitive tasks.

As AI continues to reshape professional software, A3 demonstrates how intelligent assistants can improve CAD productivity, simplify workflows, and help architects, engineers, and designers work more efficiently. This development positions ARES 2027 at the forefront of the growing trend toward AI-powered CAD software.

The Power of the ARES Trinity Ecosystem

Frausto-Robledo also emphasizes the strength of Graebert’s ARES Trinity strategy, which delivers a unified “One CAD” experience across desktop, web, and mobile platforms.

Unlike traditional CAD solutions that separate workflows between devices, ARES Trinity enables users to work seamlessly across:

  • Windows
  • macOS
  • Linux
  • Web browsers
  • Tablets
  • Smartphones

This cross-platform approach ensures that design teams can access projects, edit DWG files, and collaborate from virtually anywhere while remaining connected to the same workflows and project data. The result is greater flexibility, improved collaboration, and increased productivity for distributed teams.

BIM-to-DWG Automation Accelerates Documentation

The review also explores the latest enhancements to BIM-to-DWG workflows in ARES 2027. By leveraging BIM data more effectively, ARES helps automate the generation of DWG documentation, reducing the need for manual drafting and repetitive drawing production tasks.

For architecture, engineering, and construction (AEC) professionals, BIM-to-DWG automation offers several advantages:

  • Faster documentation workflows
  • Improved drawing consistency
  • Reduced manual effort
  • Better coordination between BIM models and DWG deliverables
  • Enhanced project efficiency
  • Fewer documentation errors

These improvements help bridge the gap between intelligent BIM models and the production of construction-ready documentation.

Expanding Automation and Cloud-Based CAD Capabilities

Beyond AI and BIM workflows, the Architosh Deep Dive highlights several additional innovations in ARES 2027, including:

  • Online Drawings Automation
  • Autodesk Forma integration
  • Enhanced ARES Kudo Professional capabilities
  • Cloud-based collaboration workflows
  • Cross-platform DWG accessibility

Together, these features demonstrate Graebert’s continued focus on modernizing CAD workflows while maintaining full compatibility with the DWG format that remains central to the AEC industry.

A Bold Vision for the Future of DWG CAD

Frausto-Robledo concludes that ARES 2027 showcases how an innovative CAD developer can rapidly advance the capabilities of DWG-based design software through AI, automation, and cloud technologies.

As he notes, “ARES 2027 demonstrates how a focused competitor can move quickly, differentiate boldly, and continue expanding what native DWG CAD can become.”

With AI-powered assistance, BIM-to-DWG automation, cloud collaboration, and a truly cross-platform CAD ecosystem, ARES 2027 represents a significant step forward for professionals seeking smarter, more connected design workflows.

What Happens If AI Causes 25% Unemployment? Anthropic Has a Concept of a Plan



It seems to be one of the most pressing questions in the world of AI these days. If artificial intelligence tools cause massive disruptions in the economy and unemployment soars, what should AI companies and the government do about it?

Anthropic released a new economic policy framework on Wednesday that aims to tackle these questions, and the company has pledged $350 million to help work through solutions. But it remains to be seen how the federal government under President Donald Trump will respond.

“We are not seeking job displacement. We are working to prevent or minimize it,” Anthropic explained in releasing the new paper. “Some amount of displacement, though we cannot say how much, may be an intrinsic consequence of the technology, and our responsibility is to prepare for it and respond to it.”

The company has three different proposals, one for a world with 5% unemployment, one with 10% unemployment, and one with so-called “unprecedented unemployment.” The current unemployment rate is 4.3%. The last time unemployment rose about 10% was in 2009, and before that in 1983. And the highest unemployment rate of the 20th century was during the Great Depression, when the unemployment rate hit 25% in 1933.

If unemployment only rises to 5%, Anthropic proposes the expansion of “new capital accounts seeded at birth,” and allowing young adults to benefit from them as well.

“Currently, these accounts can hold only index funds—not a stake in AI companies,” the company continued. “We also propose policies like workforce training grants, occupational licensing reform, and wage insurance, that make it easier for workers to find new roles and enter new industries.” Anthropic also proposes creating incentives for companies that retain and redeploy workers under the 5% plan.

The company explains in its paper that it’s unclear whether job disruptions will be a “temporary shock” or an “enduring restructuring, in which the demand for human labor is significantly and persistently lower.” But either way, Anthropic says something must be done.

“In the 10% scenario, our priority is expanded unemployment insurance, which we propose supplementing with sector-specific transition support and basic-needs relief,” Anthropic explains. “If AI does become a general substitute for human labor, policymakers will also need to consider the pace of its rollout, including by incentivizing firms to manage displacement gradually.”

Under the most dire “unprecedented unemployment” situation, which presumably means higher than 25%, Anthropic believes there will be a need for “income replacement,” as they call it, “for a large share of the workforce.”

“We’ll need new sources of tax revenue, and new ways of sharing this broadly, which might include basic income, sovereign wealth models, and equity-sharing mechanisms,” the company explains. “This scenario is novel economic territory, so we’re less certain about the right answers here.”

Anthropic claims in its paper that it’s not ready to advocate for specific policies in the worst-case scenario, but it says it’s investing in researching different mechanisms, like:

  • “Potential revenue sources could include increasing the capital gains tax, broad-based consumption taxes, sector-specific levies on AI use (measured by tokens, compute, or revenue), and scalable “digital dividends” funded by taxes on the digital sector.”
  • “Potential redistribution mechanisms could include universal basic income, AI sovereign wealth funds funded by investment stakes in AI-driven productivity, equity-sharing mechanisms giving workers partial ownership in AI enterprises, and dramatically expanded pre-distributive capital accounts building on existing models.”

Anthropic explains that the framework is U.S.-focused because they’re an American company, but that the principles are global.

“We hope to think through these questions with governments around the world, and to see them on the agenda at the G7 and the upcoming AI Summit in Geneva,” the company said.

From Donald Trump to Bernie Sanders, every elected politician seems concerned with how AI will impact the job landscape. But even the AI companies can’t give you a concrete idea of how many jobs will ultimately be lost. Anthropic admits as much.

You may be asking yourself, as we did, how much Claude may have played a role in coming up with these ideas. We reached out to Anthropic but haven’t heard back. Gizmodo will update this article if we learn the answer. It would be appropriate, if a bit odd, to discover that AI is coming up with the “answers” on how to deal with large-scale unemployment caused by AI.

It’s also something Sam Altman envisioned years ago when he was asked how his company would make money. As he said in 2019: “We’ve made a soft promise to investors that, ‘Once we build a generally intelligent system, that basically we will ask it to figure out a way to make an investment return for you.’”

Alphabet plans to raise $80 billion to pay for AI buildout


Google parent company Alphabet said Monday that it plans to raise $80 billion to help pay for the massive AI infrastructure buildout it has planned. Alphabet will sell off that amount in stock, and will then use the funds to pay for “general corporate purposes, including capital expenditures to scale AI infrastructure and global compute,” the company said in a statement.

Part of the plan involves selling $10 billion in stock to Berkshire Hathaway, the massive global holding company formerly led by Warren Buffet.

“The company is experiencing strong demand for its AI solutions and services from enterprises and consumers, at levels that are exceeding the company’s available supply,” Alphabet said in its statement. “By scaling its investments, the company seeks to expand its foundational infrastructure to support the significant growth opportunity ahead.”

The company added that the stock plan represented a way to “fund its investments in a balanced way while retaining a healthy balance sheet.”

Like other tech giants, Google has announced plans for a massive investment in compute this year, the likes of which will be used to support a flurry of new AI services. At Google I/O last month, CEO Sundar Pichai said that the company expects to spend between $180 and $190 billion on capex before the year is out. Google and other tech giants are expected to spend as much as $700 billion this year on AI capex.

Shift will tidy up your home for free, but will record the chores to train robots


Shift is offering to clean homes for free, but there is one important condition. The company will record those chores to build training data for future home robots.

The New York-based startup is currently offering free cleaning services, in which a vetted operator visits a home and wears a camera-equipped device while performing routine household work. The footage can then help AI systems understand how people clean homes outside controlled lab settings.

Your messy home is valuable AI training data

AI companies have already used text, images, and videos from the internet to train software models. But robots need a different kind of data. They need to understand physical spaces, household objects, and the messy logic of everyday chores.

A robot cannot learn home cleaning only from staged lab videos. Real homes have cluttered tables, dishes stacked in awkward ways, stains in corners, and objects placed where they should not be. That kind of chaos is what makes household footage useful.

Shift is not the only company chasing this kind of physical AI data. In India, startups and data vendors are already building businesses around this demand, paying workers to record first-person videos of everyday tasks and supplying that footage to AI companies. For robotics firms, ordinary human labour is becoming valuable training material.

This is where it starts to feel a bit dystopian

Cleaning may only be the start. In the announcement video, Shift says it eventually plans to move into other areas like plumbing, cooking, and building.

Today, we’re launching shift. We’re starting by cleaning your apartment in New York City, for free.

Here’s how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing.

In exchange, we record… pic.twitter.com/oBrCXcEz5G

— shift (@joinshiftX) May 28, 2026

For years, the fear around AI has mostly been about office jobs. Writers, coders, designers, and customer support teams have already felt the pressure, and in some cases, that fear has started turning into job losses.

Trades have largely escaped that conversation because physical work is harder to automate. A chatbot can write an email, but it cannot fix a leaking pipe or clean a messy kitchen. Companies like Shift are trying to close that gap by collecting footage of people doing those exact tasks.

AI and robotics may still need time to match the efficiency and precision of a human worker. But watching companies collect this kind of data to train advanced robots feels like the opening scene of the kind of sci-fi movie that does not end well for humans.

Google I/O 2026: What to expect from Gemini, Android 17, and more


Google is preparing to kick off its annual developer conference, Google I/O 2026, and this year’s event is shaping up to be heavily focused on artificial intelligence, Android 17, and the future of Google’s ecosystem. The conference begins on May 19 at the Shoreline Amphitheatre in Mountain View, California, with CEO Sundar Pichai expected to lead the keynote presentation. The event will be livestreamed globally through Google’s official I/O website and YouTube channels.

While Google I/O has traditionally focused on developers, this year’s announcements are expected to directly affect everyday users across Android phones, Search, Chrome, Workspace, and smart devices.

Google is turning AI into the center of everything

The biggest theme expected at Google I/O 2026 is Gemini AI. Google has already spent the last year integrating Gemini into products like Gmail, Search, Android, and Workspace, but this event may show how deeply the company plans to embed AI into its entire ecosystem.

One of the most anticipated announcements is the next phase of Gemini Intelligence inside Android 17. Reports suggest Android is evolving from a traditional operating system into a more context-aware AI platform capable of automating tasks, generating widgets, handling voice interactions, and proactively assisting users across apps.

Google is also expected to reveal more about “Gemini Omni,” a rumored AI model focused on advanced video generation and editing. This could position Google more directly against OpenAI’s Sora and Adobe’s generative AI tools.

Beyond smartphones, AI may also reshape Google’s laptop ambitions. Multiple reports suggest Google could formally unveil “Googlebook,” a new AI-first laptop platform designed to eventually succeed Chromebooks. The devices are expected to combine Android and ChromeOS elements while deeply integrating Gemini AI features into the user experience.

Android 17 and XR could also take center stage

Android 17 is expected to receive several upgrades focused on personalization, multitasking, and AI-powered features. Leaks and previews have hinted at redesigned widgets, enhanced voice input, new digital wellbeing tools, and updates to Android Auto.

Google may also showcase progress on Android XR, its augmented and mixed reality platform. Smart glasses and wearable AI devices have become increasingly important across the tech industry following moves from Meta, Apple, and Samsung. Google previously teased Android XR hardware, and I/O 2026 could provide a clearer look at the company’s long-term strategy.

Why this event matters

Google I/O 2026 arrives at a critical moment for the company. The AI race has accelerated rapidly over the past two years, with OpenAI, Microsoft, Apple, and Meta all competing to define how consumers interact with AI systems.

For Google, this event is not just about announcing new software features. It is about showing that Gemini can become the foundation of Google’s future products rather than simply an optional assistant layered onto existing services.

At the same time, the company faces growing scrutiny over AI-generated search summaries, misinformation risks, and the broader impact AI may have on publishers and the web ecosystem.

What happens next

Google I/O 2026 begins on May 19, with announcements expected across Android, Gemini AI, XR devices, Search, Workspace, and possibly new hardware categories.

If the leaks and reports are accurate, this year’s conference could mark Google’s biggest shift yet toward an AI-first ecosystem – one where Android, laptops, search, and productivity tools all revolve around Gemini.

Notion just turned its workspace into a hub for AI agents


Productivity software maker Notion is stepping into the agentic era.

In a livestreamed product announcement on Wednesday, the company, known best for its collaborative note-taking app, introduced a new developer platform that extends the capabilities of its custom AI agents, connects with external agents, and allows teams to build automated multistep workflows that can pull in data from any database.

By building an orchestration layer — a system that coordinates AI work across multiple tools and data sources — Notion is positioning itself as more than a note-taker with AI features and instead as a hub where people and agents can collaborate across tools and databases.

In February, Notion first launched its Custom Agents — AI teammates that handle repetitive tasks like answering frequently asked questions, compiling status updates, and automating workflows. Since then, Notion customers have built over 1 million agents, the company says.

However, these agents had limitations. They couldn’t connect with external data or use custom logic. External agents that companies used also didn’t have a way to connect with the Notion workspace. Teams had to work around these problems by using third-party automation platforms or writing their own scripts that run on their own infrastructure.

“It’s true that, historically, Notion hasn’t been the most developer-focused platform,” said Ivan Zhao, Notion co-founder and CEO, during the livestream. “But things are changing.”

Image Credits:Notion

Now, Notion will allow teams to deploy their own custom code. With its new Workers, Notion’s cloud-based environment for running custom code, customers can write their logic and deploy it to a secure sandbox (an isolated environment that keeps the code from interfering with other systems). This allows teams to do things like sync their data into Notion, build custom tools, and trigger work with webhooks — which are automated signals that kick off actions when something happens in another app — without needing to rely on external infrastructure.

You don’t even have to write the code. The company points out that your preferred AI coding agent can do it for you.

The Workers will use the same credit system as Custom Agents, but Notion is making this free through August, so developers can experiment.

Syncing external data sources is also a part of the Notion Developer Platform. Powered by Workers, the database sync feature can pull in data from any database with an API. That means you could access data from places like Salesforce, Zendesk, Postgres, and others within your own Notion databases — and keep the data current.

Zhao noted that this means that Notion’s users can now “use your Notion database as a sheer canvas to power both your workflows and your agents.”

Image Credits:Notion

Workers can also build agent tools with custom logic, for those times when connecting with a third-party via MCP — short for Model Context Protocol, an emerging standard that lets AI tools connect to external data and services — isn’t enough.

Another addition allows Notion’s users to chat directly with external AI agents they use, assign them work, and track their progress, as if they were one of Notion’s own custom agents. At launch, Notion says that Claude Code, Cursor, Codex, and Decagon are supported partner agents, but it plans to add more.

There’s an External Agent API, too, if teams want to connect their own internal agents with Notion, like those they’ve built specifically for their company’s needs.

Image Credits:Notion

Developers and agents interact with Notion’s new Developer Platform via the Notion CLI, a command-line tool for developers, available on the company’s Business and Enterprise Plans.

The Developer Platform represents a shift in strategy for Notion as it becomes more of a programmable platform than just an application, setting it up to compete with other workflow automation platforms. As businesses increasingly look to automate knowledge work and build internal AI systems, a platform that ties together agents, custom code, and live data in one place starts to look less like a productivity app and more like core infrastructure.

It also follows the broader trend among AI companies, which have been moving beyond the AI chatbot to offer agentic tools that can take actions across different software platforms.

“Any data, any tool, any agent — that’s the big picture for the Notion Developer Platform,” Zhao said.

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Reddit may ask you to prove you’re human as it cracks down on bot accounts


Reddit is stepping up its fight against bots, and now your account could be asked to prove it is human if the platform detects fishy behaviour.

Reddit CEO Steve Huffman says these checks will be rare, but they are meant to protect what makes Reddit work in the first place – real people talking to real people.

As AI-generated content spreads, Reddit admits it is getting harder to tell who is behind a post. So instead of broad crackdowns, it is focusing on suspicious behavior and adding clearer signals across the platform.

How Reddit plans to separate humans from bots

If Reddit detects signs of automation or unusual behavior, it may trigger a human verification check. This could involve simple actions like passkeys or FaceID that confirm a human is present.

In some cases, third-party biometric systems like Sam Altman’s World ID may be used. The platform may also use government-issued IDs in regions where laws require them. However, Reddit says that your identity will stay separate from your account.

The company is also standardizing labels for automated accounts. Approved bots will carry an [APP] tag, making it obvious you are interacting with software. Developers will need to register their tools to get this label, which adds a layer of transparency.

What does this mean for your Reddit experience?

Since Reddit says this is not a sitewide verification system, most users might never be asked to prove anything. Even when such checks take place, the focus will be on confirming a human exists, not identifying who that person is.

At the same time, the platform will continue removing harmful bots at scale, already taking down around 100,000 accounts daily. It is also improving reporting tools so users can flag suspicious activity more easily.

Reddit is not banning AI-written posts outright, but it is drawing a firm line. For now, the platform cares less about how content is written and more about who is behind it.

Here’s how Google is making it easier to move from ChatGPT to Gemini


The Gemini logo on an Android phone.

Joe Maring / Android Authority

TL;DR

  • Google is making it easier to switch from a competing chatbot to Gemini in two ways.
  • You’ll be able to transfer user information from the other chatbot to Gemini by using a prompt and following a few extra steps.
  • Chats can also be imported, but they’ll need to be saved in a zip file that’s no larger than 5GB.

The more a chatbot knows about you, the better it gets at offering relevant responses. However, the more you use one AI service, the less likely you are to try out the other options. Who wants to spend all of that time training multiple chatbots? We learned back in February that Google is working on a solution that should make switching to Gemini from a competing chatbot less of a headache. Now we have more information on how the solution will work.

Our investigation into the Google app (version 17.11.54.sa.arm64) has revealed that there are two parts to this solution: import memory and import chats. Starting with the import memory option, you’ll be able to transfer user information from other platforms to Gemini.

When selecting the “Import memory to Gemini” option, you’ll be asked to copy a prompt and paste it into the input box of the other provider. The other provider will then give you a response with whatever it knows about you. You can then copy that response and paste it in the “Paste the response here” box within the Import memory to Gemini page. Tapping the “Add memory” button will tell Gemini to remember the following about you.

In the screenshots above, you can see an example of this process. The prompt provided by Gemini is pasted into ChatGPT and the response from ChatGPT is copied and pasted into paste here box on the Import memory to Gemini page. After tapping on Add memory, you’ll see the following response confirming that Gemini has stored the information into its own memory.

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As reported last month, Google is making it possible to import chats from other platforms to Gemini. This will require you to download your conversations from the other AI client and upload them to Google’s service.

Through our APK teardown, we’ve learned that you’ll need to store those chats in a zip file before uploading. You’ll also need to make sure the file isn’t too big, as there will be a 5GB limit.

⚠️ An APK teardown helps predict features that may arrive on a service in the future based on work-in-progress code. However, it is possible that such predicted features may not make it to a public release.

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Washington Post’s Surveillance Pricing Under Fire From Dems Who Want to Ban the Practice



Some subscribers to the Washington Post have been receiving emails that their subscription rates will be going up, according to the Washingtonian. That part isn’t surprising, given the fact that Post owner Jeff Bezos has reportedly been upset that the newspaper is losing money, especially since ditching about half of his workforce. But some folks who scrolled down to the bottom of the email were surprised when they read about how the new price was determined: “This price was set by an algorithm using your personal data.”

It’s a concept called surveillance pricing, and it’s not entirely new. People can often be charged different prices for the same product, depending on any number of factors. If your phone battery is low, rideshare companies like Uber or Lyft might charge more because they know you’re desperate. Instacart was recently caught charging up to 23% more to some shoppers based on unknown criteria.

Many Democrats aren’t happy about it, including Rep. Greg Casar of Texas. On Monday,  Casar wrote on Bluesky that surveillance pricing “should be illegal,” adding, “I have a bill to ban it.”

Last year, Casar and Rashida Tlaib of Michigan introduced legislation called the Stop AI Price Gouging and Wage Fixing Act. And last month, two other Democrats in the Senate, Ben Ray Luján from New Mexico and Jeff Merkley from Oregon, introduced very similar legislation called the Stop Price Gouging in Grocery Stores Act of 2026.

The Washington Post hasn’t explained how it determines pricing by using personal data. But there could be a number of factors, including zip code, estimated income, and purchase history. Bezos, the founder of Amazon, presumably has more data on what people buy than just about anyone in the country. And he’s a big supporter of utilizing AI to maximize profits.

The problem is that AI can’t really make up for losses any business might incur by offering a bad product. The newspaper first hemorrhaged subscribers—250,000 in one week alone—after Bezos stopped the Washington Post editorial board from endorsing Kamala Harris in the 2024 presidential election against Donald Trump.

The Washington Post had no reporters at the Academy Awards on Sunday, according to the paper’s former culture writer. And it was the last of the major news outlets to report that the U.S. had started bombing Iran late last month. The paper has purged any writer on the opinion side deemed to be liberal and has instead become a mouthpiece for the Bezos worldview—a worldview that happens to align perfectly with that of the Trump regime.

Bezos has been criticized for buying the distribution rights to First Lady Melania Trump’s “documentary” Melania for a whopping $40 million, but the movie itself helps explain why he’d bother. There are several shots of the Trumps with Big Tech oligarchs like Elon Musk, Tim Cook, and Bezos himself. All of these guys need something from Trump, whether it’s space contracts or just tariff relief.

News of what Bezos has in store for the future of his newspaper doesn’t instill confidence that it can survive much longer as a respected institution. The Washington Post’s news side still breaks major stories, but the New York Times reports Bezos’s big idea was to chop the newsroom’s budget in half and demand twice the productivity through AI. Columnist Dana Milbank and economics correspondent Jeff Stein both announced they were leaving the Post on Monday.

Businesses are increasingly turning to algorithms to set their prices, and it doesn’t look like that’s going to change anytime soon unless legislators get involved. At least a dozen states are considering legislation about surveillance pricing, but so far, only New York has passed a law in this area. Unfortunately, it doesn’t have much teeth since it only requires companies to notify consumers when a price has been set with AI.

On the other hand, New York’s law may be the only reason we know that the Washington Post is using AI for subscription rates. The paper has little other incentive to include the disclaimer: “This price was set by an algorithm using your personal data.” Notifying consumers may not fix the problem of surveillance pricing, but at least people can take it into account when deciding where they want to spend their money.

Hollywood’s biggest filmmaker just came out clean about using AI in movies


Legendary filmmaker Steven Spielberg voiced concerns about the growing role of artificial intelligence in creative industries during an appearance at SXSW in Austin. Speaking during an interview session at the 2026 event, Spielberg made it clear that while he supports technology in many fields, he strongly opposes AI replacing human creativity in filmmaking.

Spielberg Draws A Line On AI In Creative Work

During the discussion, Spielberg revealed that he has never used AI in any of his films, a statement that drew enthusiastic applause from the audience. The director emphasized that although artificial intelligence can be useful in certain disciplines, it should not replace the people responsible for storytelling and artistic expression.

“I am not for AI if it replaces a creative individual,” Spielberg said during the conversation.

The filmmaker explained that in his own creative process, including television writing rooms, he still relies entirely on human collaboration. According to Spielberg, there is no “empty chair with a laptop in front of it” representing an AI contributor. For him, the development of stories and characters remains a fundamentally human activity.

Spielberg’s stance reflects broader concerns across Hollywood, where writers, directors, and actors have increasingly debated how AI might affect jobs and creative control in the entertainment industry.

A Director Known For Exploring Technology

Despite his skepticism toward AI replacing creative professionals, Spielberg is not opposed to technology itself. Throughout his career, many of his films have explored futuristic technologies and their potential consequences.

His filmography includes classics such as Jaws, E.T. the Extra-Terrestrial, Close Encounters of the Third Kind, and Raiders of the Lost Ark. Spielberg has also examined the relationship between humans and advanced technology in projects like Minority Report, Ready Player One, and A.I. Artificial Intelligence.

These films often present technology as both a powerful tool and a potential threat, themes that echo Spielberg’s real-world perspective on artificial intelligence.

AI’s Growing Presence In The Entertainment Industry

Spielberg’s comments come at a time when AI tools are increasingly entering the filmmaking and television production landscape. Technology startups are developing AI-powered platforms designed to assist with script development, editing, and visual effects, often marketing them as tools that can reduce production costs.

Major streaming platforms are also exploring how artificial intelligence might streamline content creation. Amazon has reportedly begun testing AI tools for film and television production. Meanwhile, Netflix recently acquired an AI-focused filmmaking company associated with Ben Affleck in a deal reportedly valued at around $600 million.

While these developments could reshape how films and shows are produced, they have also sparked ongoing debates about whether AI will assist creative professionals or eventually replace them.

The Future Of AI In Hollywood

Spielberg’s remarks highlight a central question facing the entertainment industry: how to integrate new technologies without undermining the human creativity that defines filmmaking.

For independent filmmakers working with limited resources, AI tools may offer opportunities to reduce production costs or speed up certain tasks. However, many established creators argue that storytelling should remain driven by human imagination rather than automated systems.

As AI continues to evolve and spread across the entertainment industry, discussions like the one at SXSW suggest that Hollywood’s biggest names are determined to ensure technology enhances creativity rather than replacing it.