Coursera’s 2026 report “One Year Later: The Gender Gap in GenAI” reveals Indian women completing generative AI courses at 3% higher rates than men, even while underrepresented at 33.5% of 2025 enrollments—up 2.2 percentage points from 31.2% in 2024. This persistence indicates that access, rather than capability or motivation, remains the key barrier, with women 1.5 times more likely to finish GenAI courses than male peers across top enrolment countries. Globally, female GenAI participation rose from 32% to 36%, with enterprise learners reaching 42%, but India’s gains underscore targeted opportunity amid Vision 2047’s $14 trillion women-led economic target.
For learning and development leaders, the data validates that structured, application-focused courses drive equitable outcomes, positioning AI upskilling as a multiplier for India’s $30 trillion economy goal.
Practical GenAI courses attract stronger female engagement
Beginner-friendly courses emphasising real-world applications—such as Adobe’s Generative AI Content Creation (48.2% female)—outperform abstract technical ones, framing AI as a productivity tool for teaching, writing and creativity rather than elite coding. Complementary human skills like critical thinking saw women’s share rise to 40% from 34%, reflecting holistic reskilling that pairs AI with enduring capabilities. Prashasti Rastogi, Director at Coursera for Campus and Government India, noted: “When women in India gain access to GenAI learning opportunities, they demonstrate strong persistence and commitment to mastering these skills.”
Enterprises can replicate this by prioritising pragmatic, localised content that links GenAI to immediate career relevance, accelerating workforce readiness.
Strategies to close the GenAI gender gap
Coursera recommends beginner-level designs with real-world ties, inclusive pedagogy with visible representation, localisation via partnerships, social validation through role models and integration with skills like critical thinking. In India, where women comprise 40% of platform learners but lag in GenAI, these interventions address confidence gaps, time constraints and perceived irrelevance.
C-suite executives aligning with Vision 2047 must embed such playbooks into L&D, treating women’s AI fluency as a $14 trillion economic lever.
Implications for India’s AI workforce transformation
As GenAI reshapes industries, equitable participation becomes a national competitiveness imperative, with India leading global enrolments at 1.3 million while narrowing gaps faster than developed markets. The top 10 female-heavy courses—spanning content creation, UX design and Google AI Essentials—demonstrate scalable paths to parity when relevance trumps abstraction.
Organisations scaling AI adoption should audit L&D portfolios against these patterns, fostering diverse builders essential for culturally attuned solutions.
