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Two AIs Powering India: Artificial Intelligence Meets Aspirational Indians

Two AIs Powering India’s Growth: Artificial Intelligence and Aspirational Indians

Lok Sabha MP Bansuri Swaraj declared at TiEcon Delhi 2025 that India’s progress is being driven by two powerful forces – Artificial Intelligence and the Aspirational Indian – and when these two AIs converge, they accelerate national development.

Key Highlights

  • Women’s AI workforce expected to grow nearly 4x by 2027, reaching 3.3 lakh professionals
  • 41% of women in tech prefer AI/ML careers, surpassing male counterparts (37%)
  • TiEcon Delhi 2025 gathered 2000+ delegates focusing on women-led innovation

The BJP MP emphasized that as India enters the “decade of deeptech,” women must lead this transformation. “If we leave out half of our population, we are not building artificial intelligence, we are risking artificial ignorance,” she warned during her address.

Women Driving India’s AI Revolution

Swaraj unveiled the ‘Wired for Impact: Women in AI’ report by Kalaari, which celebrates women leaders shaping India’s AI landscape. She noted that under Prime Minister Narendra Modi’s Digital India initiative, “technology has become a tool for public good, empowering talent across the nation and ensuring equitable access for women.”

The comprehensive report reveals significant trends: while women currently represent only 20% of India’s technology workforce, this number is projected to surge to over 330,000 women in AI roles by 2027. Notably, AI/ML has become the most preferred career track for women in technology, with 41% choosing this domain.

Industry Leaders Emphasize Diversity

Geetika Dayal, Director General of TiE Delhi-NCR, expressed satisfaction with the conference outcomes: “Our startup pitching sessions highlighted breakthrough ideas and the investor community’s enthusiasm reaffirmed the immense potential that lies ahead for India’s innovation economy.”

Vani Kola, Managing Director of Kalaari Capital, stressed the critical importance of diversity in AI development: “When the systems we build learn and reason from a narrow or biased worldview, they risk encoding those same limitations into the intelligence that shapes our future.”

Experts unanimously agreed that for India to build better and more trustworthy AI for the world, diversity must be treated as a mission-critical performance indicator.

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