Working at the frontier shapes expectations for the future
Anthropic (AI lab research) · 16 Oct 2026
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Where this sits in the debate
- Will AI destroy more jobs than it creates?
- How fast will the impact arrive? · its finding supports the claim (why studies differ)
Direction of the finding as read from the abstract by an AI model (AI-written).
Source excerpt
Anthropic staff and US workers don’t seem to have different theories about how AI affects jobs. Instead, they have different experiences of what AI capabilities are. Those different experiences seem closely related to perceptions about what will happen to work in the future. Anthropic is a company at the frontier of AI adoption, and that adoption has changed the way we hire. We find that over the past year, we're hiring for a smaller share of junior positions, and a smaller share of our employees work in technical roles. At the same time, the rate of hours worked by AI agents has shot up. By March 2026, agents worked more hours than employees. By August, there were six times more agents than employees at Anthropic, and productivity increased. That’s led to Anthropic producing more code per person, but that’s a notoriously imperfect measure. We see signs of increased productivity elsewhere: we’ve closed more sales per sales representative, and processed more contracts. When our researchers follow the same employee over time, they find the employee’s output rises as their adoption of AI tools increases. All this acceleration means that, increasingly, the bottleneck is human attention. As a result, employees spend more time building ways to better monitor work their agents are doing. Anthropic could be a leading indicator of how AI will shift work organization, hiring, and labor demand across the economy. An AI lab is different from more traditional businesses in how it adopts AI into its work, but research findings about our own workplace may still be instructive about broader transformations, including dynamics for future AI-native companies. Because Anthropic employees experience AI’s effect on work so differently, it stands to reason that they might have different predictions about AI’s effect on the future of work. That’s what our second report investigates. We surveyed Anthropic employees, and compared them to an August survey of almost 11,000 US adults, fielded
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Lab or institute research, not peer reviewed. A report or blog post published by an AI lab or research institute on its own site. It has not been through independent peer review, and the publisher may have a stake in the findings.
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