What 81,000 people told us about the economics of AI
Anthropic Research surveyed 81,000 Claude users to link economic concerns with AI usage patterns. The study found that higher exposure to Claude tasks correlates with greater worry about job displacement, while many users report significant productivity gains, especially in higher‑paid roles. The findings also highlight differences by career stage and occupation.
The Core Development
In order to inform the public about the economic changes we’re observing with AI, our Economic Index shares what work Claude is being asked to do, and in which jobs Claude is doing the largest share of tasks. To date, however, we’ve lacked information on how these usage patterns map onto people’s thoughts and impressions of AI.
Our recent survey study with 81,000 Claude users provides a way to connect people’s economic concerns with what we’ve quantified in Claude traffic.
The survey asked people about their visions and fears around advances in AI. Many of the thoughts that people shared touched on economic topics. We learned that many people fear job displacement—though they also feel more productive and empowered at work. In some cases, AI has enabled them to start businesses, or given them time for more important things; in others, AI feels stifling, or imposed on them by their employers.
Strategic Perspective & Ecosystem Impact
The survey’s results provide initial evidence that observed exposure (our measure of AI displacement risk) is correlated with economic concern around AI. People in highly exposed occupations—as defined by the tasks Claude is observed performing—were more nervous about economic displacement. This is consistent with people being broadly aware of AI’s diffusion and potential impacts. We expand on our findings below.
“Well like anyone who has a white collar job these days I'm 100% concerned, pretty much 24/7 concerned about losing my job eventually to A.I.”—Software engineer. 1
One fifth of the respondents in our survey voiced concern about economic displacement. Some worried about this in the abstract: one software developer cautioned about “the possibility of AI in its current state being used to replace junior positions.” Others lamented that their jobs, or aspects of their jobs, were being automated away. One market researcher said, “In terms of improving my capability, it's no doubt. [B]ut in the future AI may replace my work.” In some jobs, people felt it made their work harder. One software developer observed that “when AI arrived, the project managers started giving harder and harder tickets and bugs to solve.”
Why it matters
Understanding how AI adoption affects worker sentiment and productivity informs policy, workforce planning, and product strategy for AI companies.