The AI gender gap: How women can break through

AI is changing what it means to get ahead at work. And it’s not changing things equally.

New research from Lean In finds that women are less likely than men to use AI on the job, and less likely to have made it an everyday habit: men now use AI daily at a rate 22% higher than women. This usage gap is already significant. In a fast-moving landscape, early gaps have a way of compounding into missed promotions, lost ground, and leadership pipelines that never materialize. And women’s perception of AI’s risks runs deep. They’re nearly twice as likely as men to predict that AI will cost women jobs and more likely to worry they’ll be perceived as cheating when they use it.

But here’s what’s also true: these gaps are not inevitable. When women do embrace AI, the results are powerful. A survey of over 1,300 developers across 61 countries found that 64% of female developers say AI is accelerating their careers—helping them learn faster, solve problems more efficiently, and contribute more confidently.

The AI gender gap isn’t about preference—it’s a response to circumstances
So why aren’t women diving into AI at the same rates as men? Women are navigating real structural headwinds that make AI a fundamentally different proposition for them than for their male colleagues.

Our research shows that men are nearly 30% more likely than women to be praised for using AI at work. This is attribution bias in the AI era: women’s contributions get noticed less, celebrated less, and rewarded less.

And when women’s AI use is noticed? It’s often held against them. A recent study found that when engineers used AI to help them write code, women were twice as likely as men to see their reputation for competence diminished—even though the code and AI tools were exactly the same. This is performance bias in the AI age: women’s work has always been scrutinized more—and judged more harshly—than men’s.

The stakes are too high to ignore
If the AI gender gap persists, the consequences run far beyond individual careers, impacting workforce participation for women broadly. A 2026 study found that women make up 86% of workers both highly exposed to AI job loss and least able to adapt to it. Solène Delecourt at UC Berkeley Haas puts it plainly: “At risk is billions of dollars in lost productivity and missed innovation from women.”

What women can do right now
Companies need to close the AI gap. But women can’t afford to wait until they act.

1. Start now, start simple.
Open ChatGPT, Claude, or Gemini and give it a real task: rewrite an email, summarize meeting notes, brainstorm a project plan. AI gets more useful the more you use it, and the learning is in the doing.

2. Push beyond chatting.
Most people start by using AI to answer questions or clean up their writing—and that’s great, but it’s a fraction of what’s possible. Try generating an image. Have it analyze a spreadsheet and build a chart. Let an AI agent book meetings or research a topic end to end. Use it to build a prototype without writing code. The more you stretch beyond “ask it a question, get a response,” the faster you’ll discover where AI can do the heavy lifting you didn’t realize you could hand off.

3. Make your AI wins visible.
Saved three hours on a report? Caught an error before it became a problem? Bring those specifics to your manager. And look for chances to share what you’re learning more broadly—a team lunch and learn, a workflow tip in a meeting, a win mentioned in your next one-on-one.

4. Lift as you climb.
Share what’s working with the women around you. The AI gap is partly a knowledge gap—pass on the tools, workflows, and strategies that work for you. The more women who build AI fluency now, the harder it becomes for that gap to widen.

Companies can’t afford to get this wrong, either
For any company wondering whether closing the AI gender gap is worth the investment, the numbers speak for themselves.

With more women in leadership, companies can see 19% more revenue from innovation. And with more women across teams, companies see up to 19% higher profit and 45% higher innovation revenue than companies with fewer women. But if women are lagging men in AI uptake, we’re likely to see fewer women reach leadership and fewer women across the workforce overall.

Closing the AI gender gap requires action on two fronts. Companies need to treat it as the business priority it is—and act before today’s small disparities become tomorrow’s missing women leaders. And women shouldn’t wait for companies to catch up. Build your AI fluency now, make your contributions visible, and bring other women with you. The gap closes faster when we push from both sides.

These findings are from an online poll of 1,000 U.S. adults aged 18 and older, conducted by Lean In on Wired Research’s platform, March 1–7, 2026.