Working at the frontier shapes expectations for the future
Anthropic released two reports: one on how AI has altered hiring and productivity within the company, and another comparing staff expectations with public views on AI’s future impact on work and the economy. The reports highlight a shift toward fewer junior hires, increased AI agent hours surpassing employee hours by March 2026, and a growing bottleneck of human attention. They also reveal stark differences in optimism about AI capabilities, with staff expecting rapid progress and higher job displacement than the general public.
The Core Development
We’re sharing two reports: the first covers how AI is changing employment inside Anthropic, and the second looks at the gap between how the public and Anthropic employees expect AI to affect work and the economy.
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.
Strategic Perspective & Ecosystem Impact
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.
Why it matters
Understanding how AI reshapes internal hiring and productivity at a leading AI lab offers insight into potential labor market transformations across the industry. The divergence between employee and public expectations highlights the need for realistic policy and workforce planning.