Women in AI represent just 10% of Indian startup founders despite higher course completion rates

Women in AI Face Stark Underrepresentation Across India's Tech Sector

The underrepresentation of women in AI has emerged as a critical challenge for India's ambitions in artificial intelligence. Only 10% of AI startups in India are founded by women, a figure that lags behind even the broader startup ecosystem where 18% of founders are women 1

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. Notable women in India's Artificial Intelligence sector include Ashwini Asokan of Mad Street Den, Geetha Manjunath of NIRAMAI Health Analytix, and Prukalpa Sankar of Atlan, yet they remain a tiny minority in a male-dominated landscape .

The situation appears even more concerning when examining leadership positions. None of the 12 core organizations recently shortlisted by the IndiaAI Mission to develop indigenous foundational models has listed women as primary founders 1

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. Among the 24 most-funded AI startups in India, not a single one has an all-women founding team, according to the Wired for Impact: Women in Ind(AI) report by Kalaari Capital 1

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The Leaky Pipeline Narrows Women's Path in the AI Workforce

Women account for only about one-fifth of India's fast-growing AI workforce, representing around 84,000 professionals 1

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. This decline follows what experts describe as a leaky pipeline in technology careers, where women's participation progressively decreases along the organizational ladder. Despite making up around 43% of STEM graduates in India, women constitute only 29-30% of students in Generative AI programs 1

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The types of leadership roles women occupy further illustrates the AI gender gap. Women are more likely to work in data analytics, data engineering, and AI operations, while remaining underrepresented in core technical fields such as AI model development, research, architecture, and product design—roles that serve as stepping stones to senior technical positions 1

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. Analysis of LinkedIn profiles showed that 29.92% of AI engineering talent in India in 2024 were women, while across South Asia, only 26.01% of AI research publications have women as primary or corresponding authors 1

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Female Enrollment in GenAI Courses Shows Promise Despite Barriers for Women in AI Education

A Coursera report titled "One Year Later: The Gender Gap in GenAI" reveals encouraging trends in equipping women with AI skills. Women in India complete GenAI courses at rates 3% higher than men, even while remaining underrepresented in enrollment 2

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. Female enrollment in GenAI courses increased from 31.2% in 2024 to 33.5% in 2025, a 2.2 percentage-point increase year-over-year 2

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The higher completion rates suggest that access—rather than capability or motivation—may be the primary barrier to closing the gender gap in GenAI learning. Beginner-friendly courses that emphasize real-world application attract stronger female participation. For example, the course on Generative AI Content Creation by Adobe achieved 48.2% female enrollment in India 2

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. Application-driven courses in areas such as education, productivity tools, and workplace integration have seen female participation approach parity in some cases 2

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AI-Driven Job Automation on Women Poses Additional Risks

As AI adoption accelerates, women face disproportionate vulnerability to job automation. A LinkedIn-UN Women analysis found that about 80% of women in India work in jobs that could be augmented or disrupted by AI, compared with 75% of men 1

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. This concentration in occupations more vulnerable to automation makes inclusive AI education increasingly urgent for India's economic growth.

As part of Vision 2047, the Government of India aims to build a $30 trillion economy by 2047, with nearly 45% of this growth—approximately $14 trillion—expected to come from women's economic participation 2

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. Equipping women with future-ready capabilities in machine learning and artificial intelligence will be critical to unlocking this potential and building a future-ready workforce.

Misconceptions and Opportunities in AI Skills Development

Kirthiga Reddy, cofounder of OptimizeGEO.ai, emphasized that the biggest misconception holding women back is the belief that AI careers require hardcore programming skills. "The field actually needs many different skills and disciplines, from product thinking and design to policy, domain expertise and entrepreneurship," she noted 1

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. Encouraging girls to see AI as problem-solving and innovation—rather than just programming—is key to improving representation in entrepreneurship and leadership roles.

Prashasti Rastogi, Director at Coursera for Campus and Government in India, stated: "Our data shows that when women in India gain access to GenAI learning opportunities, they demonstrate strong persistence and commitment to mastering these skills" 2

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. Beyond GenAI, women learners in India accounted for 40% of critical thinking enrollments in 2025, up from 34% in 2024, demonstrating momentum in building both technical and human skillsets 2

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