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.
Opinion: A gender gap is emerging in AI adoption, and women risk being left behind
Women appear less inclined to use AI tools, producing a disadvantage they can ill afford
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.
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 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.
Report: Where are the women? Mapping the gender job gap in AI
As AI becomes ubiquitous in everyday life, closing the gender gap in the AI and data science workforce matters.
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.
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 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?
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.
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.
New research reveals "staggering" gender gap in ChatGPT adoption
A study reveals that ChatGPT adoption reflects existing workplace inequalities, with younger, higher-paid men using AI more than women and lower-income employees.
A Proposed Conceptual Framework for Understanding Gender Disparities in Artificial Intelligence Adoption
This conceptual paper investigates the issue of gender disparities in artificial intelligence adoption within organizational settings. It highlights the importance of addressing these differences for workplace inclusivity and performance. The problem lies in the unequal of artificial intelligence adoption between male and female employees’ perspectives. The proposed framework is developed through a review of existing literature highlights differences between male and female employees in their artificial intelligence adoption. The methodology is based on conceptual analysis, derive on previous studies to build a comprehensive understanding of gender disparities in artificial intelligence adoption. An Independent T-Test will be used to analyze the disparities between male and female Malaysian sports graduates in testing the hypothesis development. By addressing these disparities, the paper provides insights into creating inclusive strategies that promote gender equity in the workforce. Overall, the findings aim to guide both researchers and practitioners in designing gender equality policies that address challenges to equal adoption of artificial intelligence.
Paid Program: Why More Women Are Needed in AI
When the world of AI isn’t inclusive, it creates biases in what the data shows and how it’s used.
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.
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.
