Bridging the Gender Divide: New Coursera Data on Women's Rise in GenAI Learning

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As we mark International Women’s Day, a fresh analysis from Coursera sheds light on how the gender gap in critical skill areas—especially Generative AI—is evolving. Building on last year’s initial investigation, the report One Year Later: The Gender Gap in GenAI tracks progress across 140+ countries. While women remain underrepresented overall, the data reveals encouraging strides, with their share of GenAI enrollments climbing from 32% to 36% globally. Enterprise learners show even stronger gains, and regions like Latin America and Asia Pacific are leading the charge. However, some developed English-speaking nations have seen a slight retreat. Below, we unpack the key findings through a series of detailed questions and answers.

What does the latest Coursera report reveal about the gender gap in GenAI skills?

The report, released one year after Coursera’s original gender gap analysis, shows clear progress but persistent disparity. Globally, women’s share of GenAI course enrollments rose from 32% in 2024 to 36% in 2025. This represents a meaningful narrowing of the gap, especially given the explosive growth of GenAI interest across all demographics. The data suggests that women’s engagement with GenAI is accelerating faster than men’s, even though men still represent the majority of learners. The report also highlights that progress is unevenly distributed: certain regions are outpacing others, and enterprise learning environments are showing particularly strong results. The findings underscore both the potential for closing the gap if targeted efforts continue, and the need for sustained institutional action to ensure women are not left behind as GenAI transforms the economy.

Bridging the Gender Divide: New Coursera Data on Women's Rise in GenAI Learning
Source: blog.coursera.org

How has women’s participation in GenAI learning changed year-over-year globally?

Comparing 2024 to 2025, women’s share of total GenAI enrollments on Coursera increased by four percentage points—from 32% to 36%. This might seem modest, but it represents millions of new female learners entering a field that is growing rapidly. More strikingly, among enterprise learners (employees using Coursera through their organizations), women’s share jumped from 36% to 42% over the same period. This indicates that workplace initiatives and employer-sponsored training are effectively drawing women into GenAI skill-building. The pace of growth for women exceeds that of men in the overall learner pool, signaling that the gap is not just stabilizing but actively closing. However, the report cautions that regional variations mean this global trend masks slower progress in some countries, particularly where men’s enrollment growth outpaces women’s.

Which regions have shown the most progress in reducing the GenAI gender gap?

Latin America stands out as a region of remarkable progress. The share of GenAI enrollments from female learners there has doubled year-over-year. Top performers include Peru (+14.5 percentage points), Mexico (+5.3 points), and Colombia (+4.5 points). Asia Pacific also shows consistent improvement: Uzbekistan leads globally with an 8.8 percentage point increase in women’s enrollments. In India—Coursera’s largest GenAI market—the female share grew by 2.2 points, while Vietnam, Indonesia, Thailand, and the Philippines all registered gains. These regions often combine government-led digital upskilling initiatives, strong education systems, and growing tech sectors. The data suggests that deliberate policy and investment in female access to technology education can yield rapid results, even in countries with large gender disparities in other areas.

Which countries have seen a decline in women’s share of GenAI enrollments?

In contrast to the global trend, several English-speaking and economically developed countries experienced a slight drop in women’s representation among GenAI learners. The United States saw a 0.9 percentage point decrease, Canada lost 1.0 point, the United Kingdom fell 1.8 points, Spain declined 1.1 points, and Germany slipped by 0.2 points. These declines are small but notable because they indicate that in these nations, men’s enrollment growth is outpacing women’s. Factors may include earlier saturation of male interest, less targeted outreach to women, or structural barriers in tech fields. The finding underscores that progress is not automatic; even in wealthy countries with high internet access, closing the gender gap requires active intervention. Without deliberate efforts, gains achieved elsewhere can be reversed.

Bridging the Gender Divide: New Coursera Data on Women's Rise in GenAI Learning
Source: blog.coursera.org

Why is closing the gender gap in GenAI crucial for economic growth?

IDC research projects that GenAI could add up to $22.3 trillion to the global economy by 2030. Such transformative potential demands that the benefits be shared equitably. If women are underrepresented in GenAI skill development, they risk being locked out of the highest-growth jobs and leadership roles of the future. A balanced workforce brings diverse perspectives to AI design, reducing bias and improving product outcomes. Companies and countries that tap into the full talent pool will innovate faster and compete more effectively. The Coursera report frames closing the gender gap as both an equity imperative and an economic necessity. Institutions—from governments to businesses—must ensure that women have equal access to training in GenAI and complementary skills like critical thinking, so they can participate in and drive the AI-powered economy.

What role do enterprises play in accelerating women’s engagement with GenAI?

Enterprise learners on Coursera have shown the fastest growth in female GenAI participation: women now account for 42% of enrollments in corporate training programs, up from 36% a year ago. This suggests that workplace-based learning platforms, combined with organizational support, are highly effective at reaching women. Companies that offer paid time for learning, link training to career progression, and promote inclusive AI cultures tend to see higher female engagement. Enterprises can also partner with educational providers to design content that addresses women’s specific learning needs and barriers. The report encourages employers to continue investing in upskilling programs, especially those that pair technical GenAI skills with human competencies such as critical thinking and communication. Such holistic approaches not only close the gender gap but also build more resilient workforces.

How can institutions sustain and accelerate the progress shown in the report?

The report’s findings highlight that targeted interventions work—witness the doubling of female GenAI enrollments in Latin America and the strong gains in Asia Pacific. To sustain momentum, institutions should invest in scholarships and mentorship programs that encourage women to explore AI fields. Curriculum design matters: offering beginner-friendly courses and showcasing female role models can reduce intimidation. Policymakers can integrate GenAI literacy into national education strategies, especially for girls and young women. Companies should continue to foster inclusive learning environments and measure progress transparently. The report also emphasizes that closing the gender gap is not a one-time fix but an ongoing effort requiring collaboration across sectors. With deliberate action, the current positive trajectory can become a lasting trend, ensuring women are equal partners in shaping the GenAI revolution.

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