Peter McCrory

Peter McCrory is an economist and researcher at Anthropic, specialising in the empirical measurement of AI's effects on labour markets. Working alongside Maxim Massenkoff, he developed "observed exposure": a methodology using real professional Claude usage to gauge actual AI displacement risk, rather than theoretical task-coverage models.

McCrory and Massenkoff's research found that computer programmers face 75% task coverage by AI tools, computer and maths occupations 35.8%, and office and administrative roles 34.3%. Workers in the most exposed roles are statistically older, more educated, and higher-paid. Their data showed no systematic unemployment increase among heavily exposed occupations since late 2022, though suggestive evidence points to slowing hiring of younger workers .

The research sits at the centre of a contested policy debate. The American Enterprise Institute cited similar findings when rebutting claims that AI worsens inequality, while the Federal Reserve Bank of Dallas independently found employment down roughly 1% in the most AI-exposed industries, concentrated among workers under 25 . McCrory's methodology is unusual: an AI company producing the most credible evidence about its own technology's labour-market effects.