Anthropic · Fortune Technology
The white-collar jobs most exposed to AI, according to Anthropic's own data
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Anthropic’s recent study mapping AI’s reach across hundreds of occupations continues to raise fresh concerns about the future of white-collar work.
Key facts
- The Bank of America Institute's March 2026 employment report shows payroll growth rebounding, with year-over-year gains rising to 1.4% in March, which is back in line with early-2025 momentum, based
- Economists Maxim Massenkoff and Peter McCrory analyzed millions of real Claude conversations, matched them against 800 occupations, and found a striking gap: AI can theoretically automate 94%
- Andrew Bonfield, CFO of Caterpillar Inc. ( No. 64 ), has decided to retire effective Oct. 1, following eight years with the company
- Every Friday morning, the weekly Fortune 500 Power Moves column tracks Fortune 500 company C-suite shifts— see the most recent edition
Summary
Economists Maxim Massenkoff and Peter McCrory analyzed millions of real Claude conversations, matched them against 800 occupations, and found a striking gap: AI can theoretically automate 94% of computer and math tasks but currently handles only about 33%. For more insight on what’s behind the research, their Fortune colleague Matt Heimer sat down with McCrory, head of economics at Anthropic. What makes this study different from the usual AI-disruption commentary is the data source—actual Claude usage data from the workplace. For example, for business and finance occupations broadly, the theoretical exposure (tasks AI could speed up by more than 50%) is high, but actual observed usage still lags behind.