Maxim Massenkoff

Maxim Massenkoff is an economist and researcher at Anthropic, specialising in empirical labour economics. His work focuses on how large language models affect professional workflows and employment outcomes, particularly through the lens of actual usage data rather than theoretical exposure frameworks.

Massenkoff and Peter McCrory co-authored a study introducing "observed exposure", which measures real professional Claude usage against theoretical task-coverage models . Their findings show computer programmers face 75% task coverage; computer and mathematics occupations 35.8%; office and administrative roles 34.3%. The research characterises highly exposed workers as older, female, more educated and higher-paid, and finds no systematic unemployment increase in those occupations since late 2022, though hiring of younger workers is slowing.

That nuance sits at the heart of the AI employment debate: the study neither confirms catastrophic displacement nor dismisses structural risk. Its methodology has become a reference point in Congressional hearings and think-tank rebuttals , making Massenkoff an unusually prominent internal Anthropic voice in public labour-market policy.