Indian Women Surge in GenAI: Bridging the Tech Gender Gap?

Top Summary

What happened: Enrollment of Indian women in Generative AI (GenAI) courses increased by 2.2 percentage points from 2024 to 2025. Their completion rate also exceeds men's by 3 percentage points.
Why it matters: GenAI is projected to significantly boost the global economy, potentially adding USD 22.3 trillion by 2030. Increased female participation can address skills gaps and promote diversity in the AI sector.
What changes for people: More women are gaining access to opportunities in AI, leading to potential career advancements and higher-paying roles. This may also encourage more women to pursue STEM education.
Who is affected: Women in India, particularly those from non-technical backgrounds and early to mid-career professionals, are benefiting from flexible online GenAI courses. AI startups and companies will need to adapt to the changing gender dynamics.

The Rise of Women in GenAI

A recent Coursera report indicates a notable increase in Indian women taking up Generative AI (GenAI) courses. The share of women enrolled in GenAI courses has grown by 2.2 percentage points between 2024 and 2025.

This trend is further emphasized by the fact that female completion rates surpass those of men by 3 percentage points.

Anshu Sharma, a 23-year-old marketing professional, is a prime example. Her company is funding her AI courses, showcasing the growing recognition of AI skills in various sectors.

Driving Forces Behind the Shift

Professor Mona Khare from the National Institute of Educational Planning and Administration highlights a broader trend.

"There is indeed a visible increase in women's enrolment in AI and digital skills courses in recent years, in line with their rising participation in technical and STEM education in India. As per a UGC report, women's participation in technical education increased by almost 15% in just three years, from 2022 to 2025."

The growth is particularly rapid in areas like artificial intelligence, cybersecurity, and data science.

Nidhi Aggarwal, a program manager with 25 years of experience, emphasizes the importance of continuous learning in the tech industry. Srimathy Kesavan, a recent engineering graduate, opted for GenAI skills over campus placements, landing a job as an LLM engineer.

Assistant Professor Tejas Bodas from IIIT Hyderabad suggests that online platforms offer lower entry barriers, attracting women from diverse backgrounds. He adds,

"I think the main reason for the higher percentage of women enrolments is the lower entry barriers that online platforms offer. I believe women from diverse backgrounds (no-CS, non-engineering) have easier access to learning GenAI than traditional ML/AI engineering."

Motivations and Aspirations

The motivations for learning AI are varied.

Rashi Mittal, a software engineer, is transitioning into AI within the finance industry due to concerns about the future of coding jobs.
Smita Mishra, an economics graduate, is pursuing data analytics and data science certifications to explore opportunities in finance or consulting.

Professor Bodas notes that motivations range from career advancement and higher pay to curiosity and entrepreneurship. Many women aim for roles in applied AI, prompt engineering, and GenAI-based product design.

Addressing the Leadership Gap

Despite the progress, a significant challenge remains.

"The irony of a 'broken pipeline' for women's progression into leadership roles in AI and high-tech jobs points to persistent structural gaps," says Professor Khare.

A research study indicates that the gender leadership ratio in AI startups in Bengaluru is only 8%. This calls for concerted efforts to support women's transition into leadership roles.

What to Watch Next

The focus should be on initiatives that bridge the gap between education and employment for women in AI. Monitoring the progress of women in leadership roles within AI startups and established tech companies will be crucial in assessing the long-term impact of these trends.