Women are significantly penalised for using artificial intelligence to create job application materials, while men using identical AI assistance receive more understanding and acceptance, according to new research conducted by Zehra Chatoo, a former Meta strategist and founder of the think tank Code For Good Now.
Chatoo distributed identical AI-generated résumés under two different names, Emily Clarke and James Clarke to test how reviewers responded to AI-assisted applications. Although the CVs contained the same content, the reactions differed sharply based solely on gender perception.
The findings revealed a stark double standard. Reviewers questioned Emily’s trustworthiness 22% more often than James’s. Her competence was also doubted twice as frequently, with some reviewers commenting that she “can’t even write a CV herself” and questioning whether she actually possessed the required job skills.
In contrast, James received far more sympathetic feedback. Reviewers described his use of AI as simply getting “a bit of help putting it together.”
According to Chatoo, the research highlights a deeper workplace bias around technology use and gender expectations.
“When men use AI, we question their effort. When women use AI, we question their integrity. That difference changes the perceived risk of using AI,” she explained.
The study also exposed a notable generational divide. Men from Generation Z, who have grown up alongside AI technology, viewed Emily’s AI-assisted résumé negatively 3.5 times more often than James’s identical application. While James’s CV earned a 97% approval rating, Emily’s received only 76% approval despite having the same qualifications and wording.
The findings align with broader research into AI adoption in the workplace. Harvard Business School Associate Professor Rembrand Koning previously documented a 25% adoption gap between men and women when using AI professionally. Many women remain hesitant to adopt AI tools due to concerns about perception, criticism, and accusations of cheating.
Additional support for these conclusions comes from a January survey conducted by the California Institute of Technology involving 3,000 respondents. The survey found that women were significantly less confident that AI’s benefits would outweigh its disadvantages and were also less likely to believe AI could help advance their careers.
Experts believe the findings identify one of the key barriers preventing equal AI adoption across genders.
“If people believe they will be judged more harshly for using AI, they are less likely to adopt it, regardless of their capability. Closing the AI adoption gap means addressing not just how people use AI, but how that use is evaluated,” Chatoo said.
