Strategies for CFOs to Navigate Tariffs and Global Disruptions


In today’s landscape, the phrase “unprecedented times” has become a cliché, yet the reality remains: the World Uncertainty Index has been steadily rising since 1990. Recent global events—such as COVID-19, the Ukraine war, inflation, and tariffs—have left CFOs grappling with heightened uncertainty about the impact of external pressures on their organizations.

Many executives describe this era as “the end of predictability,” where established trends give way to sudden disruptions in an increasingly complex environment. Alarmingly, two in five executives still feel unprepared for future market interruptions.1

“In four weeks’ time anything might happen. Or even four hours. This dramatically increases demand for scenario-based analysis and decision-making.” – Dr. Carl-Christian von Weyhe, CFO Middle & Eastern Europe, SAP

To tackle these challenges, CFOs must adopt new methodologies tailored to their organizations. This guide explores how forward-thinking finance leaders are effectively managing uncertainty by:

  • Rethinking traditional forecasting methods.
  • Embracing AI to enhance insights.
  • Improving data quality for better decision-making.
  • Weighing tough choices regarding supply partners, expense management, and pricing strategies.

Explore this guide, The end of trends: How CFOs can lead through tariffs and other external disruptions, to discover actionable strategies and tools that can help you navigate uncertainty effectively. Download it today.

Ramp launches its own AI model router, called Router


Corporate expense management platform Ramp is hot on the heels of Stripe in setting up toll houses for AI inference.

Ramp on Wednesday evening launched its own AI model routing service, dubbed Router, that lets users and companies use and switch between various large language models through an API. The company says it has been using the router it built for its own AI usage needs over the past three years.

The service is only available in the United States. It’s free to use for the remainder of 2026 (users will still have to pay for AI model inference costs), and it comes with a $26 credit launch offer. The company did not say how much the service will cost next year.

In its function, Router is pretty similar to how OpenRouter operates, though the latter offers many more AI model options than Ramp’s current offerings.

Router offers access to models from OpenAI, Anthropic, DeepSeek, Moonshot, Minimax, Nvidia, xAI, and Z.ai. It also provides several “strategies” to help its customers route AI requests to models based on their preferences. For example, one lets users set a preference for model providers’ flex usage tiers, while another lets Router choose which model to route queries to based on up to three user-specified benchmarks. Users can also choose to route only difficult problems to expensive models or test models easily without having to switch.

Users get a dashboard, too, that lets them see token spend, cost, latency, fallback attempts, and other details.

Notably, Router has an opt-out data retention policy: it will record model inputs, outputs and tool calls for one year by default, though the company says it will remove “personally identifiable information before using that content to improve the product.”

For Ramp, entering the model routing business offers a two-pronged opportunity: it gets to tap the booming AI inference market, and also offer its existing clients a model routing service that fits in neatly with its existing products, which includes AI token usage monitoring and token spend management.

And, if Router proves as attractive of a model testing arena as OpenRouter has, Ramp may also be able to build long-standing relationships with AI labs and inference providers worldwide. That could help Ramp, which raised $750 million at a $44 billion valuation in June, gain new customers and a new point of entry for selling its expense management products.

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Google Messages RCS is breaking for Galaxy users after using Smart Switch


What you need to know

  • Samsung Galaxy users are reporting RCS issues in Google Messages after switching to a new phone with Smart Switch.
  • Some affected users are seeing error code 3100 when trying to enable RCS or send messages on their new Galaxy phones.
  • Google says corrupted cache files transferred through Smart Switch may be responsible for the RCS connection problems.

Samsung Galaxy users are reporting a surge in RCS issues with Google Messages after recently switching to a new device.

Samsung recently shut down its Messages app in the U.S., asking both new and existing users to switch to Google Messages instead. Google Messages is the only messaging app on Galaxy phones that supports RCS, making it the most sensible replacement. However, it seems that some Samsung users are running into problems getting RCS to work after setting up their new Galaxy devices.

As spotted by Android Authority, several users have taken to Reddit to report that RCS stops working after switching to a new Galaxy phone and transferring their data using Samsung Smart Switch. Some affected users are seeing error code 3100 when trying to enable RCS or send RCS messages from their new device.

Google Gemini in google messages

(Image credit: Jay Bonggolto / Android Central)

It looks like Google has already identified a potential cause. A Google representative said that the issue may be related to corrupted cache files that were transferred during the Smart Switch process.

2026 SaaS security report: Closing the unmanaged trust gap


More than 27.6 billion SaaS security events reveal a growing challenge for IT teams.

SaaS environments now run on a web of trusted users, apps, shared files and automated workflows. As those connections multiply, so do the blind spots attackers can exploit.

Discover the SaaS security shifts that will be critical to improving visibility, reducing exposure and protecting trusted business connections in 2026.

In this report, you’ll learn:

  • Why guest accounts, OAuth integrations and external file sharing are expanding the SaaS attack surface
  • How attackers are using trusted accounts, infrastructure and workflows to hide inside normal business activity
  • Which defensive shifts can help IT teams improve identity visibility, reduce alert noise and respond faster

Warp’s new system is an out-of-the-box software factory for AI development


Companies are still grappling with exactly how software development should work in the AI area, but one early answer is the so-called software factory. Essentially an agent loop that’s built around the traditional stages of software development, the software factory approach has become a popular way for companies to remake their engineering organizations for the AI era.

Now, a system from Warp could make that transition a lot easier. On Tuesday, the AI coding company introduced Warp Factories, a new system designed to make building and operating AI software factories as easy as possible.

Operating as an infrastructure layer, Warp Factories gives companies a simple environment for deploying agents and a roadmap for how to use them.

To be clear, many companies are already having success with the factory model without any help from Warp. Stripe has been particularly public about its technical progress, developing a “minions” system to automate development within its own codebase. Ramp has made similar progress, developing a background agent that can monitor its own code after it is deployed.

An analytics screen from Warp FactoriesImage Credits:Warp Factories

As Warp CEO Zach Lloyd sees it, the target market for Warp Factories will be smaller companies without the resources to develop a system from the ground up.

“[If you look at] things like running your agents in the cloud and steering those agents as they run, or bringing the work that they’re doing into your local environment, or setting up memory that goes across those agents, or setting up evals that go across those agents — it’s actually a huge infrastructure undertaking to do this right,” Lloyd told TechCrunch.

In Warp Factories, the architecture is already built out of the box, with many of the most difficult decisions already made. Warp’s system is based on the standard phases of software development (triage, specification, implementation, review, and verification) but the agentic approach means any of those steps can be automated.

Users can choose their own coding model and harnesses as necessary; the system works as well with Codex as Claude Code. It also integrates with ticketing systems like Linear and Jira, and messaging systems like Slack and Teams, in an effort to plug in seamlessly to existing workflows.

Beyond just shipping code, Warp Factories will also give managers the tools to track how well the factory is performing. With all the agents running in the same environment, it’s easy to compare performance metrics for different configurations, and to keep an eye on the overall token spend. Warp Factory also allows for self-improvement loops to optimize the overall system, automating management of the process itself.

Even so, Warp Factories is not built to completely replace software engineers — just give them an easier way to collaborate with the new agentic workforce. In Lloyd’s own experience, there are still a lot of tasks that require a human at the wheel.

“We automate like 30% of our tasks, 30 to 35% on a weekly basis,” Lloyd told TechCrunch, “and as models improve, as the context improves, as the harness improves, I think that that number is going to go up over time.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

One year with the Google Pixel 10 Pro: Why do bad things happen to good phones?


Perhaps the best part of owning a Pixel is that the phone is better a year in than on the day it launched. Google has very successfully made a name for itself in the industry with Pixel Drops, a set of quarterly updates delivered to Pixel phones alongside monthly security updates and annual operating system updates.

After a year with the Google Pixel 10 Pro XL, I can confidently say this phone is better now than it was last August, but that comes with some caveats along the way. Considering the rising prices of electronics these days, it very likely makes more sense to buy a Pixel 10 this year than a Pixel 11.

Unlocking mortgage opportunities amid rising consumer debt


Is your lending strategy missing buyers who are almost 
ready to qualify?

With U.S. household debt reaching a record $18.8 trillion, it’s easy to assume fewer borrowers qualify for a mortgage. Yet pending home sales are up 3.2% year over year. Which means rising consumer debt doesn’t equal fewer lending opportunities.

Many borrowers who appear unqualified are only a few strategic steps away from mortgage approval. Explore how lenders can use deeper borrower insights, data-driven decisioning, and modern mortgage technology to identify these “almost-there” borrowers and drive sustainable loan growth.

In this eBook, you’ll learn:

  • How to identify borrowers who are close to qualifying and guide them toward approval
  • Why traditional lending models overlook valuable lending opportunities
  • How modern mortgage technology and AI improve decision-making, borrower experiences, and approvals

Woman claims her stepfather used Grok to transform childhood photo into explicit imagery


A woman identified as Jane Doe 4 has joined a lawsuit filed by three Tennessee teenagers against Elon Musk’s xAI over the role the company’s chatbot Grok allegedly played in creating child sexual abuse material.

According to a report in The Washington Post, the woman alleged that her stepfather used Grok to manipulate a photo taken when she was 11 years old to create more than 7,000 explicit images of her. The woman also said that her stepfather was found dead of suicide two days after the images were uncovered in a law enforcement raid.

“Limitless access to these tools is spreading so quickly,” said the woman. “It is taking everyday life and turning it into child sexual abuse.”

The teenagers who’d filed lawsuit accused xAI (now part of SpaceX) of failing to take basic precautions to prevent Grok from being used to create explicit images of real people, including minors. (X was flooded with millions of Grok-generated sexualized images earlier this year.) They are seeking class action status for their suit.

TechCrunch has reached out to xAI for comment.

If you are in a crisis or having thoughts of suicide, call or text 988 to reach the 988 Suicide and Crisis Lifeline.

4 reasons why you should buy a Galaxy Z Fold 8, and 4 reasons why you should skip it


Samsung did a thing this year, making its foldables exciting again with the launch of the smaller, wider Galaxy Z Fold 8. It’s basically the little brother of the Galaxy Z Fold 8 Ultra, a larger foldable that follows the taller and more square design of its predecessors.

Apparently, the smaller Galaxy Z Fold 8 is very popular, as Samsung has highlighted a dramatic increase in preorders and has reportedly ramped up production. But should you buy the Galaxy Z Fold 8? Here are my thoughts after spending a few weeks with the phone and extensively testing its camera.

Why you should buy the Galaxy Z Fold 8

It really is the perfect size

The Galaxy Z Fold 8 with a passport

(Image credit: Derrek Lee / Android Central)

I have an affinity for flip phones and have used one as my go-to. I like that they’re small and pocketable, though they tend to be quite thick when folded. On the flip side, I tend not to care for larger book-style foldables, as they are quite tall and only open to a larger, square-ish display.

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