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AI bias could widen the gender leadership gap despite rising confidence, a new study warns
Published on 24 April 2026

Men label AI skills masculine while women call them neutral
A new report finds stubborn gender stereotypes around “future-facing” skills like AI and data analysis. Nearly half of men view these roles as masculine, while women largely see them as neutral or even feminine. Even as perceptions of women’s effectiveness improve, this AI-linked bias could deepen the leadership gap.
- Nearly half of men see AI and data analysis as masculine
- Women often view these skills as neutral or feminine
- Stereotypes around AI may reinforce existing leadership disparities
- Women’s perceived effectiveness is improving despite bias
Read the full story at The Economic Times
This summarization was done by Beige for a story published on
The Economic Times
