Are Women Judged More Harshly for Using AI at Work?

A new résumé study shows identical AI help reads as initiative for him, suspicion for her.

Key takeaway: Yes. A 2026 study by researcher Zehra Chatoo found that identical AI-assisted résumés were judged far more harshly when reviewers believed the candidate was a woman. Reviewers were 22% more likely to question her trustworthiness and twice as likely to doubt her competence, even though the work was word-for-word the…

By Dear Sarah · 2026-07-10 · Updated 2026-07-10

A professional woman in a grey striped shirt sitting at a wooden desk, focused on her laptop.

Key takeaways

A 2026 study by researcher Zehra Chatoo gave reviewers identical AI-assisted résumés under the names Emily and James, and Emily was rated as less trustworthy and less competent for the exact same work.
Reviewers were 22% more likely to question the female candidate's trustworthiness and twice as likely to doubt her competence.
Gen Z men rated the female candidate's résumé as weak more than three times as often as they rated the identical male version.
Harvard Business School data shows roughly a 25% gap between how often men and women use AI tools at work, and Brookings found 86% of high-AI-exposure jobs with little room to adapt are held by women.
The bias isn't about women's AI skills. It's about how the same behavior gets read differently depending on the name attached to it.

Here's the honest answer: yes. A new study handed identical, AI-assisted résumés to reviewers — one under the name Emily, one under the name James — and Emily was rated as less trustworthy and less capable for the exact same work. Same words, same formatting, same AI help. Different verdict, just because of the name on top.

The study came from researcher Zehra Chatoo, founder of the think tank Code For Good Now and a former Meta strategist, who tested nearly 1,000 British adults' reactions to the two résumés. Reviewers were 22% more likely to question "Emily's" trustworthiness than "James's," and twice as likely to doubt her competence, even though the documents were word-for-word the same. Reviewers who looked at "James's" résumé assumed he'd used AI the smart way, to save time on formatting. Reviewers who looked at "Emily's" assumed she couldn't have done the job without it, calling her CV weak and questioning whether she'd written it at all. Gen Z men were the harshest critics of all, rating "Emily" as weak at more than three times the rate they rated "James."

Why does AI use get read so differently for women?

Chatoo put it plainly: "When men use AI, we question their effort. When women use AI, we question their integrity." That's the crux of it. For men, reaching for a tool reads as pragmatic. For women, it reads as a confession that we couldn't hack it on our own. It's the same instinct that's made women historically under-credit their own work in meetings, in mixed teams, in performance reviews. Add AI to the mix and the old bias just finds a new home.

This isn't an isolated data point either. Harvard Business School research already shows a roughly 25% gap between how often men and women use AI tools at work, and a Brookings Institute analysis found that 86% of high-AI-exposure jobs with the least room to adapt are held by women. Put those together with Chatoo's findings and a pattern comes into focus: women are told to get comfortable with AI to stay competitive, then quietly penalized for doing exactly that. It's not that women don't want to use these tools. It's that the cost of being caught is higher, and everyone senses it, whether or not the research has a name for it yet.

We've written before about how women use AI less than men, and why that gap isn't about skill. Chatoo's résumé study is the missing half of that story: it's not hesitation, it's a rational read of how she'll be judged either way.

What this means for you

If you're early in your career, or job hunting right now, this lands somewhere personal. You've probably been told, correctly, that knowing how to use AI tools well is now a baseline professional skill. But this study is proof that the advice comes with an asterisk for women: use it, but don't get caught looking like you needed it. That's an impossible standard, and it's not yours to fix by hiding your process. It's a bias problem, not a you problem.

It also matters because so much of the AI world women now navigate, from hiring tools to the assistants in our pockets, was built by teams where women are still the minority in the room. Bias like this doesn't need bad intentions to take root. It just needs an old assumption nobody stopped to question.

One thing to try today

Next time you use AI to help with a résumé, cover letter, or work email, don't over-explain it or apologize for it in your head. Use it the way a man would: as a tool, not a confession. If you're on a hiring panel or reviewing someone else's work, notice whether you're reading "she needed help" where you'd read "he worked smart" for the identical sentence. That one-second pause is where you can actually interrupt the bias, instead of just absorbing it.

If you want a women-first AI space where using the tool is never held against you, that's exactly the gap we built Dear Sarah to fill — support that meets you as capable, not suspect.

Quote to sit with

"We cannot all succeed when half of us are held back." — Malala Yousafzai

💌 Sarah

Frequently asked questions

Does using AI on a resume make women look less competent?

According to a 2026 study by researcher Zehra Chatoo, yes. When reviewers believed an AI-assisted résumé belonged to a woman, they were twice as likely to doubt her competence and 22% more likely to question her trustworthiness than when they believed the identical résumé belonged to a man.

What was the Zehra Chatoo AI résumé study?

Chatoo, founder of the think tank Code For Good Now and a former Meta strategist, sent identical AI-assisted résumés to nearly 1,000 British adults under two different names, Emily and James. The only difference was the name, but reviewers rated the résumés very differently based on the presumed gender of the candidate.

Why do women use AI tools less often than men at work?

It isn't a lack of skill or interest. Harvard Business School research shows about a 25% gap in AI use between men and women at work, and this study suggests women may be anticipating exactly this kind of penalty, which makes hesitance a rational response rather than a confidence problem.

Should women stop using AI tools to avoid judgment?

No. Hiding your use of AI puts the burden on you to manage other people's bias instead of putting it where it belongs. Use the tools that help you do good work, and treat pushback as a sign of a bias problem worth naming, not a signal to hide your process.

Is AI bias against women only about hiring and résumés?

No. Research from UN Women and others has found similar patterns across AI systems more broadly, from how large language models describe women's careers to how voice assistants are gendered by default. The résumé study is one specific, well-measured example of a much wider pattern.

#ai-bias
#career
#job-search
#gender-equality

Sources

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