• Meta wants to upgrade ex-managers back to managers
• 7,000 workers were moved into the Applied AI org earlier this year
• Company's CTO admitted previous workforce changes were "atrocious"

Meta has reportedly partially reversed its decision to push for flatter, manager-light teams by asking some employees in its Applied AI business to move from individual contributor roles back into managerial positions.

New Business Insider reporting suggests Meta is asking certain workers to volunteer themselves as managers rather than forcing them into it, but without the company sharing comment on the matter, it's unclear how workers who refuse may be impacted.

As for the business itself, it's a pretty new one that was established this year, with around 7,000 employees shifted under the Applied AI umbrella.

Meta wanted fewer managers, now it wants more

Some of the workers who were previously assigned as managers were reassigned as individual contributors when they joined the Applied AI org, with Business Insider previously reporting how many workers felt they'd effectively been "drafted" into the business, highlighting ongoing friction internally.

The manager-light stance comes from CEO Mark Zuckerberg's 'Year of Efficiency' announcement in 2023, when he argued that a flatter organization could be more nimble and better poised for change.

With the company as a whole now on track to spend over $130 billion this year on AI chips and infrastructure, it's possible that a growing Applied AI organization could be behind the need for more traditional management.

Still, Zuckerberg's efficiency-driven, manager-light program seems to remain in force across other areas of the business, with this push for new managers looking to only be affecting Applied AI.

Separately, CTO Andrew Bosworth previously admitted that Meta's rollout of its new AI division was "atrocious" (via Wired), promising better communication for future changes.

"We shook up the management structure that was providing you stability while rapid changes in strategy, including the boom/bust cycle of hiring, left entire teams in the lurch," he admitted.

• OpenAI for Financial Services comes with built-in premium datasets
• Third-party subscription sharing is also in the works
• GPT-6 promises 100% on the 256-512K Long Context benchmark

OpenAI has lifted the wraps off ChatGPT for Financial Services, its latest industry-specific version of ChatGPT Work designed to give sector professionals access to relevant reasoning and models.

The company warned that analysts regularly spend too much time finding data, checking figures, building models and turning complex analysis into presentation-friendly reports – all things it hopes to be able to tackle with this iteration of ChatGPT Work.

Core to this new product is, of course, GPT-6 Astra, but OpenAI also worked with investment experts from Morgan Stanley and Evercore to guide its development.

ChatGPT for Financial Services

With the launch of ChatGPT for Financial Services, OpenAI has built premium datasets from the likes of Daloopa, PitchBook and LSEG News directly into the tool, so users won't need to negotiate their own external datasets. By hosting and indexing that data itself, OpenAI can ultimately improve performance and latency for end users.

OpenAI also promises to be working with S&P Capital IQ, LSEG, MSCI, Dow Jones Factiva and Moody’s so that users can access their subscription benefits directly through their ChatGPT login to reduce the friction further.

All of this with the benefits of OpenAI's latest frontier model, Astra, which sees marked improvements across the board. The jumps from 91.5% to 100% at 256K-512K and from 73.8% to 96.3% at 512K-1M are especially noteworthy on the Long Context MRCR benchmarks when compared with GPT-5.6 Sol, because finance work often requires handling long documents like annual reports and filings.

The company also advertises a 100% score for the ExploitBench cybersecurity benchmark, which should come as welcome news to this highly-regulated industry.

Only eligible financial institutions will gain access to the tool for now, and they must contact OpenAI for options.

"ChatGPT for Financial Services is one way we serve customers across the industry, but we recognize that it will require a range of solutions to address the needs of the finance industry," the company said in its launch blog post.

"OpenAI has a long history of collaborating with innovators to unlock novel AI solutions. Financial services firms and developers can use our API to build specialized applications for the needs they understand best. OpenAI brings frontier models and the capabilities to put them to work. Financial institutions, data providers, and software partners bring specialized expertise, trusted information, and customer relationships."

• Microsoft worries developers are submitting a higher volume of extensions due to AI
• It's already made some review changes, but the Edge team has had to make further changes
• Edge extensions will also be reassessed every 15 days to prove quality

Microsoft's Edge team has warned that vibe coding has contributed to a sharp rise in extension submissions for the browser simply because developers can build and tweak their extensions far more quickly.

While the company largely sees this as a positive for the Edge ecosystem, which has always struggled against the likes of Chrome, it also worries about the additional pressure its own developers now face.

Even though the team introduced an "expedited review process" in 2025, its "review pipeline has experienced additional strain" and review times are suboptimal.

Edge has seen a huge rise in AI-generated extension submissions

As a result of this additional stress, the company says it's streamlined how extension submissions move through the review pipeline in order to reduce the amount of time developers wait for approval, but crucially, the changes do not reduce the number of checks or reduce the standards.

One of the changes include the addition of automated systems to identify known policy violations and security issues.

"Our objective is to make Edge the easiest place to build, publish, and grow an extension," Microsoft wrote, but the company clearly knows Edge falls short of Chrome in terms of outright user adoption.

Per the latest Statcounter figures, Chrome accounts for 71% of all desktop browsing sessions, with Edge in a distant second place with an 11% market share.

At the same time, Microsoft is also making changes to its Featured badge, which assesses extensions across "more than 60 quality signals." The increasingly automated system will now re-check extensions every 15 days – "With this more frequent cadence, high-quality extensions can earn recognition sooner, and developers receive faster feedback on their investments in quality," the company added.

• Matt Mullenweg accuses Automattic board of conspiring against him
• Former CEO is now in a period of paid leave
• His role at WordPress.org is currently unaffected

Automattic CEO and founder Matt Mullenweg has been placed on a paid leave of absence by the company's board, but while this is currently being seen as a temporary measure, Automattic has not publicly stated how long the leave will last.

The reason for the board's decision remains unclear, but TechCrunch reports that some employees were "ecstatic" or "relieved" at the decision.

However, Mullenweg is clearly unhappy with the decision, alleging that the board gave him 50 minutes' notice before the meeting and insufficient time to seek legal counsel.

Automattic CEO Matt Mullenweg on paid absence

Mullenweg remains a member of Automattic's board, but claimed in a company-wide Slack message seen by TechCrunch that CFO Mark Davies had "conspired" with board members Ann Dunwoody, Toni Schneider and Sue Decker to remove him temporarily. Mullenweg, a board member, voted against the change but was, of course, outvoted. Davies has been appointed interim CEO in the meantime.

"I won’t be able to make the [meeting] tomorrow. @Mark Davies has conspired with @Ann Dunwoody, @Toni, and @Sue Decker behind my back and they voted to put me on a paid leave of absence," he said.

"Matt remains the leader of the WordPress project and I remain Executive Director of WordPress. Our teams, priorities, and work continue as planned," WordPress.org executive director Mary Hubbard wrote. WordPress.com (an Automattic product) runs on WordPress.org.

While the reasons have not been publicly shared, Mullenweg hasn't been short of the odd high-profile incident in recent years. He accused WP Engine of profiting from the WordPress ecosystem, which resulted in WP Engine suing Automattic and Mullenweg.

He also offered insiders who disagreed with his direction an exit package worth either six months' pay or $30,000, mounting internal tensions.

TechRadar Pro has sought further information from Automattic, but the company did not immediately respond.

• One in three workers laid off due to AI could need to be reemployed at a higher rate
• Context, judgment and meaning are irreplaceable human traits that AI can't bring
• Companies need to reinvest in AI – not just accept mediocre gains

Gartner has argued that the future of work is moving beyond simple AI automation – instead, it says that using AI to enhance human capability and redesigning how work gets done are far more critical for future business leaders.

Fundamental to Gartner's report is the importance of human workers and the preservation of human judgment and context, therefore the analysts warn that AI-induced layoffs could be costly in the long-term despite offering potential savings today.

In fact, the study warns that by as soon as 2029, one in three (30%) employees laid off because their jobs were replaced by AI will need to be rehired, and potentially at a higher cost to their future employers than had they just been kept on.

Gartner warns about AI layoffs and the importance of human workers

Ultimately, the analysts warn that treating AI primarily as a headcount-reduction mechanism could weaken future talent pipelines, remove institutional knowledge and expertise, reduce innovation ability, and create expensive recruitment challenges later.

First of the four upcoming trends predicted by the company is the human-AI relationship – companies are being urged to build stronger human-AI collaboration where AI and automation are largely seen as augmentation, not replacement.

It's also about a cultural change, because Gartner says workforces should adapt to AI, not just adopt it. Employees will need to learn continuously, adapt to changing roles and understand how to work effectively alongside AI.

Thirdly, human context, judgment and meaning should be protected, with Gartner increasingly worried that AI could inadvertently strip these away.

Finally, Gartner expects AI investments to be a continuous loop and not a single action – companies that reinvest will likely be the ones to see the best success.

"The competitive advantage will go to the CIOs and business executives who build an AI-shaped organization where AI value compounds by reshaping roles and allowing workflows to cross traditional boundaries, increasing velocity and reducing friction," VP Analyst Tori Paulman wrote.

• Verdant argues some figures are overestimated by as much as 4-5x
• Steel and vehicle manufacturing are more likely to support jobs
• Megawatt growth doesn't correlate with job growth

A new Verdant report has argued data centers are unlikely to create as many jobs as many companies and reports believe – its latest estimations put all currently planned UK data centers at 10,400 permanent operational jobs, compared with the 40,200 jobs that industry body techUK projects.

techUK also claims that current data centers that are already in operation already support 24,300 jobs – a figure that Verdant contests as being closer to 4,400.

Ultimately, Verdant criticizes other estimations including techUK's for using older figures based on smaller campuses, but as data centers grow and become increasingly automated, they require fewer staff.

Are data centers actually creating that many jobs?

In short, Verdant explains that increasing automation means compute capacity can expand without employment rising proportionally, so adding another megawatt of compute doesn't necessarily mean adding a fixed number of new workers. Therefore, its rough estimation of 1.2 jobs per MW for new developments isn't hugely representative of all facilities.

The report also expects employment density to decrease further as facilities get larger, comparing data centers unfavorably to steel plants, vehicle manufacturing plants, hospitals and schools.

"The briefing concludes that while data centres may offer other benefits, employment cannot credibly be the primary justification for continued rapid build-out," the company wrote, calling for a pause on construction and wider public discussion.

All of this, of course, against the backdrop of hyperscalers investing billions to grow their capacities, with each new campus and expansion promising hundreds or thousands of operational jobs and tens of thousands of related roles across the likes of construction.