Survey Highlights Generative AI's Impact on Women in India

By: WE Staff | Friday, 16 August 2024

A recent survey by NASSCOM and BCG reveals that while 90 per cent of Indian women view Generative AI tools as crucial for career growth, only 35 per cent feel equipped to use them, particularly in non-technology functions, highlighting a significant preparedness deficit.

The survey, conducted among 485 participants across various roles, functions, and industries, sheds light on the disparities in GenAI preparedness. This preparedness gap is further widened by fairly equal distribution of investment and mentorship opportunities as pointed out by the BCG-Nasscom report. The current position has been described and the possibilities and risks associated with it are presented by Nasscom as the voice of India’s $250 billion technology industry, supported by BCG’s research.

Still, progress is made; women’s share of the nearly 5 million strong professionals in the Indian IT industry remains a measly 36%, while executive women are present in numbers of 4-8% as compared to 14% worldwide. The study also showed that the AI market in the world should rise to $320-380 billion by 2027, among GenAI that would be 33%, therefore, a divergent team is significant for GenAI systems. Inclusion is needed and essential in the development of this field because diverse groups recognize prejudices and help correct ethical issues.

Uniquely, there is a fairly high proportion of Indian men and women who have adopted the GenAI with 76% and 80% respectively. This is in contrast with global data where 66% of the men together with 68% of the women use GenAI. Yet, Indian senior women are behind the senior men by 9 percentage points in GenAI, whereas senior women are ahead of senior men by 12 percentage points globally in terms of GenAI usage.

The survey by BCG-NASSCOM reveals that 65% of participants expect GenAI to bring a fair representation of women in tech, despite the lack of awareness and trust. The survey suggests adopting strong mentorship practices, flexible work arrangements, and clear career associations for GenAI. It also calls for re-evaluating leadership teams to include diverse individuals and ensure ethical considerations. Women should have access to continuing education and training in AI enterprise blockchain systems to ensure data integrity and successful implementation. Overall, organizations can contribute to women's success in the tech industry through mentorship, remote work, and diverse leadership.