An Anthropic study of social scientists found that men use AI coding agents—tools that automatically write code—more than twice as often as women, with the gap persisting across disciplines and career levels. Economists and early-career researchers at top universities are the heaviest adopters, with code generation for data analysis being the dominant use case at 97%. While 88% of respondents are optimistic about AI boosting their own productivity, 70% are more skeptical about its broader impact on their field, citing concerns about peer review overload and research quality.
