Anthropic: Coding AI Reveals Gender Gap

Gender Disparities in the Use of AI Coding Agents

A recent study conducted by Anthropic highlights a notable difference in the use of AI coding agents between men and women in the field of social sciences. The results show that researchers with male names utilize these tools more than twice as often as their female counterparts. This trend persists even within the same disciplines and career levels.

Economists lead the adoption of coding agents, with a usage rate of 39%, while education researchers sit at the lower end with only 4%. Doctoral and postdoctoral researchers are more inclined to use these technologies than professors, and researchers from universities ranked among the top 25 use them 40% more frequently than their peers.

The primary use case for these coding agents is code generation for data analysis, accounting for 97% of usage. In contrast, only one in three individuals uses AI for writing texts. The gender, career level, and academic rank disparities are wider for coding agents than for general AI usage.

Personal Optimism Amid Professional Skepticism

The researchers surveyed express optimism about the impact of AI on their own productivity. Indeed, 88% of them rate this impact at over 5 on a scale of 10, with half assigning it a score of 8 or higher. Users of coding agents are particularly optimistic.

However, this personal optimism contrasts with their skepticism regarding the impact of AI on their field as a whole. 70% of respondents feel more confident about their own productivity than about the overall effect of AI on social sciences. Researchers fear that the increase in the number of articles could overwhelm the peer review system and intensify competition for attention, exacerbating existing issues such as selective reporting and incremental research.

This concern aligns with what is already happening in other fields. In biomedical research, AI hallucinations in citations are beginning to appear in articles that shape clinical guidelines, with rates of fabrication having increased more than twelvefold since 2023.