The people getting praised for using AI at work aren't the ones you'd expect, if you were expecting a meritocracy.

The Summary

  • New Lean In survey finds 78% of men use AI at work vs. 73% of women, but the real gap is recognition: 27% of men get praised for AI use vs. 18% of women
  • Women are less likely to be encouraged by managers to experiment with AI tools (30% vs. 37%)
  • Same workplace bias, new surface area. The recognition gap could compound into pay and promotion gaps as AI fluency becomes the most valued skill.

The Signal

The usage gap is real but narrow. Five percentage points separating men and women who use AI at work. Not great, but not catastrophic. The recognition gap is the story. A 50% difference in praise rates (27% vs. 18%) for doing the same thing. That's not about competence. That's about visibility.

This tracks with 2025 research showing women software engineers using AI are viewed as less competent than men doing identical work. The pattern is consistent across studies: when new tools emerge, the people who get credit for adopting them aren't distributed evenly. Men get recognized for effort and experimentation. Women get scrutinized for outcomes.

Sandberg's framing matters here. This isn't about women being less capable with AI. It's about managers being less likely to notice, praise, or encourage women who are already using it. The compounding effect is real. Recognition drives performance reviews. Performance reviews drive promotions. Promotions drive who builds the next generation of AI tools and who sets policy around their use.

The timing is critical. Right now, companies are figuring out how to evaluate AI proficiency. If the evaluation criteria bake in existing bias (rewarding visible experimentation over quiet competence, loudness over results), we're not just perpetuating the old gap. We're accelerating it. The agent economy needs diverse builders. If half the workforce is systematically under-recognized for the same skills, you get a narrower, weaker talent pipeline.

The Implication

If you manage people, audit who you're praising for AI adoption. If you're a woman using AI at work, document your usage and results. Make the invisible visible. The skill gap is closable. The recognition gap requires deliberate correction. Watch how companies measure and reward AI fluency over the next 12 months. That's where the future pay gap gets set.

Source: Axios