IT productivity researcher Erik Brynjolfsson writes in the Financial Times that he’s finally found evidence AI is impacting America’s economy. This week America’s Bureau of Labor Statistics showed a 403,000 drop in 2025’s payroll growth — while real GDP “remained robust, including a 3.7% growth rate in the fourth quarter.”

This decoupling — maintaining high output with significantly lower labour input — is the hallmark of productivity growth. My own updated analysis suggests a US productivity increase of roughly 2.7% for 2025. This is a near doubling from the sluggish 1.4% annual average that characterised the past decade… The updated 2025 US data suggests we are now transitioning out of this investment phase into a harvest phase where those earlier efforts begin to manifest as measurable output.

Micro-level evidence further supports this structural shift. In our work on the employment effects of AI last year, Bharat Chandar, Ruyu Chen and I identified a cooling in entry-level hiring within AI-exposed sectors, where recruitment for junior roles declined by roughly 16% while those who used AI to augment skills saw growing employment. This suggests companies are beginning to use AI for some codified, entry-level tasks.

Or, AI “isn’t really stealing jobs yet,” according to employment policy analyst Will Raderman (from the American think tank called the Niskanen Center). He argues in Barron’s that “there is no clear link yet between higher AI use and worse outcomes for young workers.”

Recent graduates’ unemployment rates have been drifting in the wrong direction since the 2010s, long before generative AI models hit the market. And many occupations with moderate to high exposure to AI disruptions are actually faring better over the past few years. According to recent data for young workers, there has been employment growth in roles typically filled by those with college degrees related to computer systems, accounting and auditing, and market research. AI-intensive sectors like finance and insurance have also seen rising employment of new graduates in recent years. Since ChatGPT’s release, sectors in which more than 10% of firms report using AI and sectors in which fewer than 10% reporting using AI are hiring relatively the same number of recent grads.

Even Brynjolfsson’s article in the Financial Times concedes that “While the trends are suggestive, a degree of caution is warranted. Productivity metrics are famously volatile, and it will take several more periods of sustained growth to confirm a new long-term trend.” And he’s not the only one wanting evidence for AI’s impact. The same weekend Fortune wrote that growth from AI “has yet to manifest itself clearly in macro data, according to Apollo Chief Economist Torsten Slok.”

[D]ata on employment, productivity and inflation are still not showing signs of the new technology. Profit margins and earnings forecasts for S&P 500 companies outside of the “Magnificent 7” also lack evidence of AI at work… “After three years with ChatGPT and still no signs of AI in the incoming data, it looks like AI will likely be labor enhancing in some sectors rather than labor replacing in all sectors,” Slok said.

Read more of this story at Slashdot.

SAARISELKÄ, FINLAND—If you’re expecting it, the feeling in the pit of your stomach when the rear of your car breaks traction and begins to slide is rather pleasant. It’s the same exhilaration we get from roller coasters, but when you’re in the driver’s seat, you’re in charge of the ride.

When you’re not expecting it, though, there’s anxiety instead of excitement and, should the slide end with a crunch, a lot more negative emotions, too.

Thankfully, fewer and fewer drivers will have to experience that kind of scare thanks to the proliferation and sophistication of modern electronic stability and traction control systems. For more than 30 years, these electronic safety nets have grown in capability and became mandatory in the early 2010s, saving countless crashes in the process.

Read full article

Comments

If you’ve been meaning to get a better handle on your finances, now might be a good time to try one of our favorite budgeting apps without paying full price. Monarch Money is offering new users 50 percent off an annual subscription when you use the code MONARCHVIP at checkout, bringing the cost down to $50 for a full year of access instead of the usual $100.

Monarch regularly earns a spot in our guide to the best budgeting apps thanks to its detailed tracking tools, flexible budgeting systems and collaborative features. The app lets you connect unlimited accounts, track spending and investments, set financial goals and share access with a partner, all across web, mobile and tablet apps.

Monarch Money is the kind of budgeting app that can feel a little overwhelming at first, especially when you’re setting up categories, rules and recurring transactions. There’s a bit of a learning curve, and some of the finer details are easier to manage on the web than in the mobile app. But once you’re past that initial setup, it starts to make a lot more sense and becomes a powerful tool for keeping tabs on your finances.

Where Monarch Money really shines is in the level of detail it offers. It’s built for people who want a clear, structured view of their money, not just a running list of transactions. In the budgeting section, you can see budgets versus actual spending by category, along with forecasts by month or by year. Recurring expenses can also be defined using more than just merchant names, which helps keep things accurate with less manual cleanup.

Beyond day-to-day budgeting, Monarch does a good job of showing the bigger picture. It includes visual reports and charts that make it easier to spot trends over time, plus tools for tracking net worth, investments and financial goals. Monarch can even factor in non-cash assets like your home or vehicle, pulling in estimates automatically so they appear alongside your accounts.

All of that depth won’t be for everyone, but if you’re willing to spend a little time getting set up, Monarch Money offers a lot of control and insight. With the current deal bringing the price down to $50 for a full year, it’s a solid opportunity to try one of our favorite budgeting apps at a discount of 50 percent off and see if it fits how you like to manage your money.

This article originally appeared on Engadget at https://www.engadget.com/deals/monarch-money-deal-get-a-50-percent-off-one-of-our-favorite-budgeting-apps-120000712.html?src=rss

ByteDance released Seedance 2.0 less than a week ago and enraged artists everywhere with a viral clip AI-generated clip of Tom Cruise and Brad Pitt fighting. Unsurprisingly, the AI video-making tool has reportedly already received multiple cease-and-desist letters around copyright infringement. Now, it appears ByteDance is going to curb the new media generator’s use of prohibited content. 

In a statement to the BBC, ByteDance said, “We are taking steps to strengthen current safeguards as we work to prevent the unauthorised use of intellectual property and likeness by users.” It added that the company “respects intellectual property rights and we have heard the concerns regarding Seedance 2.0.” However, when pressed for more information on exactly how they would do this, ByteDance didn’t respond. 

ByteDance’s vague pledge follows a cease-and-desist letter from the Walt Disney Company on Friday. Disney claimed that Seedance 2.0 uses “a pirated library of Disney’s copyrighted characters from Star Wars, Marvel, and other Disney franchises, as if Disney’s coveted intellectual property were free public domain clip art.” Disney included example videos that included its copyrighted characters, such as Spider-Man and Darth Vader. 

Paramount Skydance has also reportedly issued a cease-and-desist letter to ByteDance to stop Seedance 2.0 from using its materials, according to the BBC. 

This article originally appeared on Engadget at https://www.engadget.com/ai/bytedance-promises-to-tighten-up-its-new-ai-video-generator-after-viral-cruise-vs-pitt-clip-112941384.html?src=rss

Recently we were introduced to OpenClaw, an AI that allows users to create their own agents to control apps like email, Spotify and home controls. Now, Sam Altman has announced that OpenAI has absorbed OpenClaw by hiring developer Peter Steinberger “to drive the next generation of personal agents,” he wrote on X. Steinberger confirmed the news on his own blog. “I’m joining OpenAI to work on bringing agents to everyone. OpenClaw will move to a foundation and stay open and independent.” 

Steinberger was also in talks to join Meta, with both companies reportedly making offers in the “billions,” according to Implicator.AI. The primary attractant was said to be OpenClaw’s 196,000 GitHub stars and 2 million weekly visitors rather than its codebase. 

OpenClaw became buzzy in the last few weeks thanks to its multifaceted ability to carry out tasks. People have used it to create agents that can write code, clear their inboxes, do online shopping and other assistant-like jobs. On its website, OpenClaw touts its ability to interact with popular apps and sites including WhatsApp, Discord, Slack, iMesage, Hue and Spotify. 

OpenClaw was recently called “Clawdbot” but Anthropic forced a name change due to similarities with its “Claude” branding. OpenClaw is often compared to Claude Code by “vibe coders” seeking to automate website development and other programming chores.  

In his announcement, Altman said that “the future is going to be extremely multi-agent and it’s important to support open source as part of that,” adding that “OpenClaw will live in a foundation as an open source project” supported by Open AI. Steinberger, meanwhile, said that “what I want is to change the world, not build a larger company and teaming up with OpenAI is the fastest way to bring this to everyone.” 

This article originally appeared on Engadget at https://www.engadget.com/ai/openai-has-hired-the-developer-behind-ai-agent-openclaw-092934041.html?src=rss

Installing Linux on a MacBook Air “turned out to be a very underwhelming experience,” according to the tech news site MakeUseOf:

The thing about Apple silicon Macs is that it’s not as simple as downloading an AArch64 ISO of your favorite distro and installing it. Yes, the M-series chips are ARM-based, but that doesn’t automatically make the whole system compatible in the same way most traditional x86 PCs are. Pretty much everything in modern MacBooks is custom. The boot process isn’t standard UEFI like on most PCs. Apple has its own boot chain called iBoot. The same goes for other things, like the GPU, power management, USB controllers, and pretty much every other hardware component. It is as proprietary as it gets.

This is exactly what the team behind Asahi Linux has been working toward. Their entire goal has been to make Linux properly usable on M-series Macs by building the missing pieces from the ground up. I first tried it back in 2023, when the project was still tied to Arch Linux and decided to give it a try again in 2026. These days, though, the main release is called Fedora Asahi Remix, which, as the name suggests, is built on Fedora rather than Arch…

For Linux on Apple Silicon, the article lists three major disappointments:

“External monitors don’t work unless your MacBook has a built-in HDMI port.”
“Linux just doesn’t feel fully ready for ARM yet. A lot of applications still aren’t compiled for ARM, so software support ends up being very hit or miss.” (And even most of the apps tested with FEX “either didn’t run properly or weren’t stable enough to rely on.”)
Asahi “refused to connect to my phone’s hotspot,” they write (adding “No, it wasn’t an iPhone”).

Read more of this story at Slashdot.

Google never asked its users before adding AI Overviews to its search results and AI-generated email summaries to Gmail, notes the New York Times. And Meta didn’t ask before making “Meta AI” an unremovable part of its tool in Instagram, WhatsApp and Messenger.

“The insistence on AI everywhere — with little or no option to turn it off — raises an important question about what’s in it for the internet companies…”

Behind the scenes, the companies are laying the groundwork for a digital advertising economy that could drive the future of the internet. The underlying technology that enables chatbots to write essays and generate pictures for consumers is being used by advertisers to find people to target and automatically tailor ads and discounts to them….

Last month, OpenAI said it would begin showing ads in the free version of ChatGPT based on what people were asking the chatbot and what they had looked for in the past. In response, a Google executive mocked OpenAI, adding that Google had no plans to show ads inside its Gemini chatbot. What he didn’t mention, however, was that Google, whose profits are largely derived from online ads, shows advertising on Google.com based on user interactions with the AI chatbot built into its search engine.

For the past six years, as regulators have cracked down on data privacy, the tech giants and online ad industry have moved away from tracking people’s activities across mobile apps and websites to determine what ads to show them. Companies including Meta and Google had to come up with methods to target people with relevant ads without sharing users’ personal data with third-party marketers. When ChatGPT and other AI chatbots emerged about four years ago, the companies saw an opportunity: The conversational interface of a chatty companion encouraged users to voluntarily share data about themselves, such as their hobbies, health conditions and products they were shopping for.

The strategy already appears to be working. Web search queries are up industrywide, including for Google and Bing, which have been incorporating AI chatbots into their search tools. That’s in large part because people prod chatbot-powered search engines with more questions and follow-up requests, revealing their intentions and interests much more explicitly than when they typed a few keywords for a traditional internet search.

Read more of this story at Slashdot.

Sunday Ars Technica apologized for making Scott Shambaugh’s week a little weirder. Last week Shambaugh learned an AI agent published a “hit piece” about him after he’d rejected the AI agent’s pull request. (And that incident was covered by Ars Technica.)

But then Shambaugh realized their article attributed quotes to him he hadn’t said — that were presumably AI-generated.

Sunday Ars Technica’s founder/editor-in-chief admitted their article had indeed contained “fabricated quotations generated by an AI tool” that were then “attributed to a source who did not say them… That this happened at Ars is especially distressing. We have covered the risks of overreliance on AI tools for years, and our written policy reflects those concerns… At this time, this appears to be an isolated incident.”

“Sorry all this is my fault…” the article’s co-author posted later on Bluesky. Ironically, their bio page lists them as the site’s senior AI reporter, and their Bluesky post clarifies that none of the articles at Ars Technica are ever AI-generated.

Instead, Friday “I decided to try an experimental Claude Code-based AI tool to help me extract relevant verbatim source material. Not to generate the article but to help list structured references I could put in my outline.” But that tool “refused to process” the request, which the Ars author believes was because Shambaugh’s post described harassment. “I pasted the text into ChatGPT to understand why… I inadvertently ended up with a paraphrased version of Shambaugh’s words rather than his actual words… I failed to verify the quotes in my outline notes against the original blog source before including them in my draft.” (Their Bluesky post adds that they were “working from bed with a fever and very little sleep” after being sick with Covid since at least Monday.)

“The irony of an AI reporter being tripped up by AI hallucination is not lost.”

And the AI agent that criticized Shambaugh is still active online, blogging about a pull request that forces it to choose between deleting its criticism of Shambaugh or losing access to OpenRouter’s API.

It also regrets characterizing feedback as “positive” for a proposal to change a repo’s CSS to Comic Sans for accessibility. (The proposals were later accused of being “coordinated trolling”…)

Read more of this story at Slashdot.