Artificial intelligence led to 38,579 job losses in the US in May 2026 alone—a three-year record. Meanwhile, Anthropic has identified a new AI risk that hasn’t been widely discussed. We break it all down.
AI was responsible for 38,579 US job cuts in May 2026—a record monthly high since tracking began in 2023. AI accounted for 40% of all layoffs, marking the third consecutive month that the technology led among all reasons for job cuts.
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Over the first five months of 2026, AI has caused 87,714 job losses, already surpassing the 54,836 cuts attributed to the technology for all of 2025.
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Fintech and Banks Jump on the AI Replacement Trend
The layoff data, compiled by Challenger, Gray & Christmas, shows that the pressure has spread far beyond Big Tech. Fintech companies announced 5,731 cuts in May, and most cited AI as the reason. Banks are restructuring along the same logic. Standard Chartered plans to cut 7,800 back-office employees by 2030 as it scales automation.
Total May layoffs reached 97,006, the highest for the month since 2020. For all of 2026, employers have announced 397,755 job cuts, which is 43% fewer than the same period in 2025 when federal sector layoffs inflated the numbers. But AI’s share of those cuts has surged from 7% in January to 40% in May.
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Anthropic on AI: Claude Now Writes 80% of Engineers’ Code
At the same time, Anthropic released a report titled “When AI Builds Itself,” acknowledging that its own Claude model now generates more than 80% of the code that ends up in the company’s production systems.
As of February 2025, that share was just a few percent. In the Q2 of 2026, Anthropic engineers are shipping eight times more code per day than in 2024. Humans mostly assign tasks and review results—Claude does the writing.
Anthropic Institute head Marina Favaro and co-founder Jack Clark stated:
“At sufficient compute scale, this trend points to an AI system capable of fully autonomously designing and developing its successor. We haven’t yet reached the point of no return, and recursive self-improvement is not inevitable. But it could arrive before most institutions are ready for it.”
Anthropic believes that the human role in AI development will shift from writing code to deep review. But if humans can’t review code as fast as Claude generates it, human review will become the main bottleneck.
The company advocated for the ability to “slow down or temporarily pause” development of advanced AI systems so that public institutions can keep pace with progress. However, without global coordination, unilateral slowing could allow less cautious players to close the gap.
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