New data reveals a frustrating double standard: Men get praised for using artificial intelligence, while women face a hidden penalty.
The notion that the modern business world offers a level playing field for men and women is a myth. The reasons for the persistent imbalances, obstacles, and inequities women face at work are manifold—some are overt, others deeply subtle. If you were hoping the dramatic, controversial arrival of artificial intelligence might act as a workplace reset to erase long-held gender biases, you are out of luck. A new report on inclusion in AI adoption makes this starkly clear. However, it also offers vital advice for women: if you are proficient in AI, make sure you proudly highlight it on your resume.
To help businesses embed equity into their AI adoption strategies, the D.C.-based management consulting firm Seramount recommends that companies intentionally build AI fluency into their operational plans. The goal is to ensure inclusivity at every decision-making juncture involving AI tools, making learning processes equally accessible to all workers.
While this is sound advice for any corporate initiative aimed at achieving equality, it is especially critical for AI. Numerous reports highlight a glaring paradox: though women make up roughly 50 percent of the workforce, they occupy 83 percent of roles deemed highly vulnerable to AI disruption, according to *HR Dive*. Yet, women are far less likely to list their AI skills on their resumes. Consequently, they achieve significantly lower visibility than their male counterparts when it comes to recruitment and promotions.
Seramount’s report underscores the implications of this gap, pointing to underlying psychological and structural reasons why women remain quiet about their AI capabilities. Citing earlier research, the report notes that “women are 25 percent less likely to be encouraged by managers to use AI, and less likely to be praised or promoted when they do.” This lack of encouragement, combined with unequal access to training, creates a cycle of hesitation, preventing women from confidently showcasing their AI expertise.
Further illuminating this reluctance is recent research by Zehra Chatoo, a former Meta strategist and think tank founder, who examined how reviewers perceive resumes written with AI assistance. The data, gathered from a thousand reviewers, revealed that women were judged much more harshly than men for the exact same AI-assisted content. When a resume was attributed to a woman, a typical reaction was, *“She can’t even write a CV herself; I’m not sure she has the skills to carry out the job.”* When the identical resume was attributed to a man, the sentiment shifted to, *“He just needed a bit of help putting it together.”* The variable was not the content; it was the gender of the perceived author.
The irony is that workers are increasingly required to use AI at an accelerating pace. The pressure is so intense that some employees reportedly “fake” using AI just to meet managerial expectations. Given this reality, it is profoundly unfair that female workers face harsher judgment for doing exactly what is being asked of them.
If you are a CEO or manager who values equality, this new report should serve as a wake-up call. It highlights a mix of entrenched and subtle issues that dictate how female workers embrace AI, gain exposure to it, and confidently broadcast their skills.
Seramount’s research makes it clear that “AI is already reshaping how work is done and how opportunity is distributed, even as the conditions surrounding its use remain uneven.” The critical question for leadership is whether organizations will allow AI to inherit old patterns of advantage, or use this transformative moment to build something better. Inclusion is not a barrier to AI adoption; as the report notes, it is “part of how organizations build broader value from it.”
Achieving this requires deliberate action. It means bold moves, like embedding inclusivity into the very design of corporate AI policies. It also requires nuanced shifts, such as retraining HR teams to evaluate AI proficiency without gender bias. Finally, it means fostering an environment where female employees are actively encouraged to own their technical skills, articulate their AI fluency during performance reviews, and leverage these tools as a natural part of teamwork.