AI Application Gender Gap Widens: Study Shows Women Use Generative AI 22% Less

Recently, actress Reese Witherspoon posted a video on Instagram, urging more women to learn and use artificial intelligence, drawing attention to the gender gap in the AI field. She stated that women are underrepresented in the application of artificial intelligence and hopes to promote more women's understanding of this technology. However, the video also sparked some online discussions, with some users arguing that she did not pay enough attention to the environmental impact of AI, data center issues, and algorithmic biases.

Research shows that there is indeed a significant gender gap in AI usage. A meta-analysis published by Harvard Business School in April this year found that based on data from 25 countries and over 143,000 participants, women were 22% less likely to use generative AI than men. A Deloitte study in 2024 also found that as age increases, the trend of AI adoption decline becomes more pronounced, with a particularly significant gender gap among those over 45 years old.

Gender gaps also exist in the workplace. Randstad reports that men make up 71% of AI technology positions, while women account for only 29%. The proportion of men receiving enterprise AI training is 35%, compared to 27% for women; in terms of generative AI skills, 69% of men have these skills, while only 31% of women do.

Experts believe that the low participation of women in AI is related to risk perception, lack of representation in the tech industry, and time resource allocation. Research shows that women often take on more family care responsibilities, leaving them less time to try new technologies, participate in training, and practice continuously.

However, opportunities in the AI era are not limited to core technical positions. Directions such as AI ethics governance, applications in healthcare and education, product operations, and data analysis also provide more entry points for women to participate in the AI industry. Experts suggest that companies should incorporate AI training into their work systems, rather than treating it as an additional burden for employees. Through flexible learning mechanisms, community support, and practical application scenarios, they can help more women develop AI usage capabilities.

As artificial intelligence gradually becomes a fundamental tool for work and life, narrowing the gender gap is not only about technological fairness but may also affect future talent structures and industrial innovation capabilities. Promoting broader AI education and application will become an important issue for the development of the AI ecosystem.