Closing the Digital Divide: A Practical Guide to Narrowing the Gender Gap in Generative AI Skills
Introduction
As International Women’s Day approaches, fresh data from Coursera’s updated report reveals meaningful, though uneven, progress in closing the gender gap around Generative AI (GenAI) skills. GenAI is projected to add up to $22.3 trillion to the global economy by 2030, yet without deliberate action, half the population risks being left behind. This guide translates those findings into actionable steps for institutions, employers, and policymakers. You’ll learn how to replicate the successes seen in Latin America and parts of Asia, while correcting the stagnation observed in many English-speaking, high-income nations. Follow these numbered steps to turn data into strategy and enrollments into equity.
What You Need
- Access to enrollment analytics (e.g., Coursera’s reporting dashboard or your own LMS data)
- Commitment from leadership to gender equity in tech upskilling
- Diverse focus groups of women learners to identify barriers
- Flexible learning budgets for scholarships or subsidized courses
- Partnerships with local women-in-tech networks or NGOs
- Time horizon of at least 12 months to measure impact
Step-by-Step Guide
Step 1: Establish a Baseline Understanding of the Current Gender Gap
Before taking action, you must know where you stand. The Coursera report shows that women’s share of global GenAI enrollments rose from 32% in 2024 to 36% in 2025. That’s progress, but it still means nearly two-thirds of GenAI learners are men. For enterprise learners alone, the figure climbed from 36% to 42% in the same period. Use these global benchmarks to compare against your own organization or region. Pull your own enrollment data filtered by gender, course category, and date. Calculate the percentage point change year-over-year. This baseline will reveal whether you are leading, lagging, or matching the global trend.
Step 2: Identify Regional and Local Disparities
The global average masks huge variation. Latin American nations have doubled their share of female GenAI enrollments. Peru leads with a +14.5 percentage point increase year-over-year, followed by Mexico (+5.3) and Colombia (+4.5). In Asia Pacific, Uzbekistan stands out with an 8.8 percentage point rise, and India (Coursera’s biggest GenAI market) saw a 2.2 point increase. Conversely, in the United States, Canada, the United Kingdom, Spain, and Germany, women’s share of enrollments actually declined by 0.2 to 1.8 percentage points. Map your own data against these regions. If you operate in a country where the gap is widening, your strategy will differ from one where it is narrowing. Use this step to target resources where they are most needed.
Step 3: Leverage Enterprise Learning Programs to Accelerate Women’s Participation
Enterprise learners—those taking courses through their employer—show the fastest improvement. In 2025, women comprised 42% of GenAI enrollments in enterprise settings, compared to 36% a year earlier. This suggests that workplace-sponsored learning removes key barriers like cost, time, and relevance. If you are an employer, create a dedicated GenAI upskilling track for women, offer paid learning time, and tie completion to career progression. If you are an educator or policymaker, partner with local businesses to co-fund enterprise accounts. The enterprise channel is your most powerful lever because it combines structure with incentive.
Step 4: Study and Replicate High-Performance Regional Models
Latin America and Asia Pacific have cracked the code. Analyze what Peru and Uzbekistan did right. Common factors likely include: government-backed digital literacy campaigns, university-industry partnerships, culturally relevant course content, and low-cost internet access. Conduct interviews with learners from these regions. Identify whether women were targeted via scholarships, women-only cohorts, or mentorship programs. Then adapt those tactics to your context. For example, if you are in Europe where the gap is widening, consider launching a national “Women in GenAI” campaign that mirrors Latin America’s approach: combining public awareness, free tiers, and local language content.
Step 5: Confront the Stagnation in English-Speaking and Developed Countries
In the U.S., Canada, UK, Spain, and Germany, women’s share of GenAI enrollments actually fell. This counterintuitive trend likely stems from a boom in male enrollments outpacing female growth—possibly due to earlier exposure, stronger networks, or more aggressive marketing targeting men. To reverse this, you must intentionally design for inclusion. Audit your course descriptions: do they use masculine-coded language? Check marketing channels: are you reaching women through women’s professional groups? Offer introductory “GenAI for Everyone” modules that assume no prior technical background. Consider creating women-only discussion forums or mentoring circles within the course platform. Sometimes the solution is not about volume but about belonging.
Step 6: Embed Critical Thinking and Human Skills Alongside Technical Content
The report highlights that narrowing the gap isn’t only about GenAI—it also involves essential human competencies like critical thinking. Women tend to enroll in courses that blend technology with ethics, communication, and problem-solving. So don’t separate technical and soft skills. Bundle GenAI courses with modules on critical thinking, bias detection, and responsible AI. Market these bundles as “Future-Ready Skills for Leaders” rather than “Advanced AI Programming.” This framing resonates especially well with women learners who seek holistic career growth.
Tips for Long-Term Success
- Track enrollments, not just completions. Inclusivity starts with entry. If women aren’t enrolling, later metrics won’t matter.
- Celebrate incremental wins. A 2.2 percentage point increase (like India’s) may seem small, but in a large market it represents thousands more women.
- Use regional champions as case studies. Publicly highlight Peru or Uzbekistan’s success to motivate other regions.
- Address the “confidence gap.” Many women underrate their readiness for GenAI. Offer a brief, no-stakes “AI Skills Check” quiz to build confidence.
- Revisit your strategy annually. The gap is dynamic; what worked last year may not work next year. Re-run the baseline check every 12 months.
- Engage male allies. Encourage men to mentor women in GenAI and to advocate for equal participation within their teams.
By following these steps—grounded in real-world data—you can help ensure the $22.3 trillion GenAI dividend is shared equitably. The progress seen in Latin America and Asia Pacific proves that change is possible. Now it’s up to each institution to turn possibility into practice.