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Women Use Generative AI 22% Less Than Men, Study Finds

Reese Witherspoon recently took to Instagram, urging more women to dive into artificial intelligence. Her message? Women are being left behind in the AI revolution, and it's time to catch up. But the post also stirred debate, with critics pointing out that she glossed over AI's environmental toll, data center issues, and algorithmic biases.

Witherspoon's concern isn't unfounded. A meta-analysis from Harvard Business School, published in April, looked at data from 25 countries and over 143,000 participants. The finding? Women are 22% less likely to use generative AI than men. A separate Deloitte study from 2024 adds another layer: as age increases, AI adoption drops, and the gender gap widens significantly among those over 45.

The workplace tells a similar story. According to Randstad, men hold 71% of AI tech positions, while women occupy just 29%. When it comes to company-provided AI training, 35% of men receive it, compared to 27% of women. And in generative AI skills, 69% of men have them, versus only 31% of women.

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So why the gap? Experts point to a few key factors. Risk perception plays a role—women tend to be more cautious about new technologies. Lack of representation in the tech industry doesn't help, and neither does the reality of time allocation. Research shows women often shoulder more family care responsibilities, leaving less time to experiment with new tools, attend training, or practice.

But here's the thing: you don't need to be a coder to thrive in the AI era. Fields like AI ethics, healthcare applications, education, product operations, and data analysis offer plenty of entry points. The key, experts say, is for companies to weave AI training into the workday, not treat it as an extra chore. Flexible learning, community support, and real-world practice can help more women build confidence and skills.

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As AI becomes a basic tool for work and daily life, closing the gender gap isn't just about fairness—it's about future talent and innovation. Broader AI education and accessible application will be crucial for the entire AI ecosystem.

Key Points

  • Women use generative AI 22% less than men, based on a global meta-analysis.
  • The gender gap is more pronounced among those over 45.
  • In the workplace, men dominate AI roles and training opportunities.
  • Barriers include risk perception, lack of representation, and time constraints from caregiving.
  • Non-technical AI roles offer pathways for women to participate.