Anthropic Report Says AI Cut Entry-Level Hires. Experts Are Skeptical
Anthropic says entry-level technical hires fell from nearly 30% to 9% since March 2025, but researchers call the report pre-IPO positioning as the company nears a possible November debut.

Why it matters
- Anthropic says entry-level technical hires fell from nearly 30% to 9% since March 2025; technical headcount fell from about 21% to 14%.
- Employees now spend about 22% of their time managing Claude agents, more than double a year ago; agents logged more work hours than humans from May 2026.
- A draft S-1 filing shows an $80bn net loss for the first half of the year and a June junk credit rating; projected valuation fell to $1.5tn from $2tn or more.
- Research by Morgan Frank shows AI-exposed job markets deteriorated from early 2022, months before ChatGPT's November 2022 release.
- Anthropic could debut on the stock market as soon as November and released the report one day after pledging 5% of shares to the 'public good'.
Anthropic says entry-level technical hires fell from nearly 30% to 9% of its workforce since March 2025, and outside researchers are openly questioning whether the company's new employment report describes reality or markets an IPO.
In a report published Thursday, Anthropic said it had restructured employment around its Claude AI agents. Employees now spend about 22% of their time managing those agents, more than double the share a year ago, according to Anthropic's analysis of employee chat summaries. From May 2026 onward, the company said, AI agents logged more work hours than human employees. Headcount in technical roles dropped from about 21% to 14%.
The report frames Anthropic's workforce as "a thin layer atop a growing contingent of AI agents" and claims "deep adoption of AI" produced "more code per person, closing more sales per rep, and processing more contracts." Anthropic attributes the hiring shifts directly to AI usage and says the changes foreshadow the future of work across the broader economy: a tougher job market for software engineers and a harder path for entry-level tech workers trying to build skills and experience.
"As AI diffuses and improves, the organization of work could shift," the report reads, before offering one possible future: "single-person startups, each with a human founder steering swarms of agents to rake in billions in revenue."
Why does the timing raise suspicion?
The report landed one day after Anthropic pledged to commit 5% of its shares to the "public good" without providing details, and weeks before a potential stock market debut that could come as soon as November. Skeptical researchers see both moves as pre-IPO positioning, comparing the report to SpaceX's boasts about proposed space data centers ahead of its own market debut in June.
"It is written from the perspective of a company that wants to sell shares, a company that really wants people to invest in it," said Julián Posada, a Yale social scientist and author of the book Platform Extractivism: Data Work and the People Powering Artificial Intelligence.
Posada noted that the report lacked independent assessment by outside auditors, unlike an economics study. Its figures and graphs, he said, tell only part of the story — omitting how Anthropic's workers feel about their work or how they actually engage with the models.
What does the research on AI and jobs actually show?
Anthropic's claims appear to support the view, held by some tech executives, that AI is driving recent waves of corporate layoffs. Peer-reviewed research complicates that narrative.
Morgan Frank, a Case Western Reserve University researcher who studies how AI and technological change affect workers, recently posted a paper now in peer review. It shows that AI-exposed job markets deteriorated well before the arrival of ChatGPT in November 2022 and Claude a few months later. State unemployment claims, according to the paper, reveal job markets tanking starting at the beginning of 2022 — months before ChatGPT's release.
"It doesn't appear that the launch of ChatGPT corresponds to any major increase in loss or worsening outcomes," Frank said.
He cited several factors that could explain recent job losses instead: the cutting of pandemic-era hires and "AI-washing," in which bosses credit AI for layoffs they might have made anyway.
What do engineers make of the "bottleneck" framing?
Anthropic's report describes human attention as the new "bottleneck" as the company relies more heavily on Claude agents. Dylan Baker, lead research engineer at the non-profit Distributed AI Research Institute, found that characterization jarring.
"That's such a strange way to put it," Baker said. "It fundamentally misunderstands how software is written, architected and designed. It's such a social, interpersonal and human process."
Baker said the report's portrait of shifting development to AI, hiring few entry-level workers, and having remaining engineers wrangle agents seemed "shortsighted." He was also curious how Anthropic's developers feel about the changes — a question the report does not answer.
The report quotes one unnamed engineer who described facing "an army of Claudes, with every one asking for my attention." Baker said that does not sound like a productive environment. "I wouldn't think really thoughtful, well-designed products are coming out of that team," he said.
How do the report's predictions compare with past claims?
The report continues a pattern of sweeping claims from Anthropic's leadership. Last year, CEO Dario Amodei warned that AI could eliminate half of entry-level white-collar jobs and that within six months it would be writing 90% of code. Neither prediction came to pass.
The new report's stakes extend beyond Anthropic's offices. If its account holds across industries, companies adopting AI agents would restructure technical hiring at scale. If Frank's research and the skeptics' reading hold, the report says more about investor messaging than about labor markets.
What does the financial backdrop look like?
Anthropic faces scrutiny on its balance sheet as it approaches the market. A draft of the company's S-1 filing revealed an $80bn net loss over the first half of this year and a junk credit rating received in June. Investors now project a valuation of $1.5tn, down from earlier estimates of $2tn or more, amid slowing revenue growth.
The pressures extend to Anthropic's cloud computing partner. CoreWeave has become swamped in AI debt, its stock is plummeting, and the combination is fueling concerns that the AI bubble may begin to deflate.
Critics also flagged the share pledge as reputation management, noting that philanthropy has long doubled as a reputation builder for tech titans like Bill Gates and Mark Zuckerberg. Anthropic did not respond to the Guardian's request for comment.
What does Anthropic propose for workers?
The report itself acknowledges public anxiety. According to Pew Research Center, a majority of Americans are wary of AI, with particular concerns about AI-related job losses, as generative AI products proliferate.
Anthropic suggests tech employers offer workers stock ownership as a partial remedy. "It is difficult to imagine a version of pro-worker AI adoption in which workers do not hold a financial stake in successful rollout," the report said.
Baker said that regardless of when or whether the bubble pops, software engineers and other tech workers will surely be affected. The open question is how.
"My hope is that there is a reckoning, a reassessment or re-evaluation of how much this has always been about human work," Baker said.
Original: fortune.com
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Correspondent covering companies, deals and strategy in artificial intelligence and machine learning at AI In Context.
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