Women appear less inclined to use AI tools, producing a disadvantage they can ill afford
The AI gender gap | Datawrapper Blog
In this Weekly Chart, we examine the gender gap in AI adoption.
Women and AI: The Gender Gap in AI Adoption and Recognition [Data]
Lean In’s survey shows how women are losing out in the AI age. Learn how women and men compare in AI adoption in the workplace, recognition, and more.
AI adoption higher among men than women: Survey
This large gap — 81.3% compared to 58.8% — stems from the higher representation of women in skilled trades, where AI usage remains extremely low.
The 'AI gender gap' narrative is missing the full picture | Fortune
New research shows women leaders are shaping AI strategy, ethics, and oversight—even as concerns about adoption gaps persist.
Don't Let Women Get Left Behind: Why the Future of AI Upskilling Must Be Inclusive
Women still lag in AI adoption at work. The risk is we'll leave talented women behind and hurt business performance. Tips to close the gap.
The Large Gender Gap in Who Uses AI
A recent study finds that AI usage tilts heavily toward men. Part of the reason: Women worried they might be penalized for using AI.
The gen AI gender gap
Data from the Survey of Consumer Expectations shows that 50% of men use generative AI tools, compared to 37% of women. Privacy concerns and perceived opportunities and risks explain a quarter of the gender gap. Respondents’ self-assessed knowledge emerges as the most important factor.
Women Are Avoiding AI. Will Their Careers Suffer? | Working Knowledge
Women are adopting generative AI technology at a significantly lower rate than men, in many cases because women question whether it's ethical to use the tools, according to research by Rembrand Koning and colleagues. If women are shying away from AI, could the gender gap in pay and job opportunities continue to widen?
Women executives warn AI adoption is outpacing workforce development
A Chief and Harris Poll survey reveals how women leaders are shaping AI adoption by prioritizing workforce development and ethical implementation over speed.
The Gender Gap In AI Use—And What’s Driving It, According To Lean In Survey
The new data from Lean In reveal a gender gap in AI use, as well as in support and recognition for those who do use it.
The AI Gender Gap: Here’s What It Will Take To Close It
Women are adopting generative AI technology at a significantly lower rate than men, creating an AI gender gap. What are the reasons behind it, and can it be closed?
AI And The Gender Gap: The New Broken Rung Most Women Don’t Know Exists
Most women aren't falling behind in AI because they're hesitant. They're falling behind because no one handed them access. Here's how to close the Exposure Gap.
The Beauty of AI and Why AI Needs More Women
While women remain underrepresented in the Artificial Intelligence (AI) and tech workforce, their participation is considered crucial for developing the right AI for tomorrow.
Women in AI: Numbers Behind the Gender Gap in Tech
How is AI changing the game for women in 2026? From job shifts and personal life-hacks to the rise of female AI founders, explore the unique impact of women in tech today.
AI Could Set Back Women at Work. Here’s the Risk.
JP Morgan and Brookings research shows women face higher risks from AI due to lower representation, slower adoption, and job exposure.
Can the adoption of AI technology widen the gender gap in science? postdocs' use of AI technology
There is a known gender gap in science. Some studies suggest that this gap is decreasing, others that it is not. Although many studies have been conducted on gender equity in science, none have yet focused on the possibility that generative artificial intelligence (AI), a technology that promises to revolutionize research and academic work can have on widening or narrowing the gender gap in science. Postdoctoral researchers are a particularly important population to study in this context, as they have already demonstrated scientific maturity and independence and are poised to become the next generation in science and academia. Thus, this paper focuses on the gendered use of AI technology by postdocs. By using data from the 2023 Nature Post-Doctoral Survey, this paper investigates how postdocs are adopting AI and whether the usage of AI technology is likely to affect the gender gap in science and academia. The results show that females are less engaged with AI than male postdocs by 34%. This disparity may put female researchers at a disadvantage, potentially causing the gender gap to increase or be maintained. The study also reveals variations in AI adoption within gender groups. Younger female postdocs tend to use AI more than their older counterparts. Compared to female postdocs without promising job opportunities, those with good job prospects tend to use AI more frequently. Additionally, female postdocs working outside their native country are more engaged with AI than those working within their native country. For male postdocs, the results indicate that employment is an important factor in AI adoption. Regardless of age, male postdocs tend to use AI as part of their postdoc: they start using it once they begin their postdocs positions and use it more if they are satisfied with their postdoctoral experience.
