India is implementing an aggressive strategy of infrastructure investment and workforce reskilling to establish itself as a global AI powerhouse [1, 2].
This push is critical as India seeks to leverage its massive labor pool to attract investment and remain competitive against the U.S., Europe, and China in the emerging AI economy [2, 3].
Industry leaders recently discussed these ambitions at Zetwork's Make 2026 conference. Participants included Sharad Agarwal, CEO of Sify Data Center; Sunil Gupta, MD and CEO of Yotta Data Services; Ankush Sabharwal, CEO and CTO of CoRover.ai; and Sandip Patel, head of IBM India [1].
A primary pillar of the strategy is the scale of human capital. India's total workforce consists of approximately 600 million workers [4]. One target aims to increase the number of AI-skilled workers from 200 million to 350 million by 2030 [4].
However, the path to leadership faces significant hurdles. In June, export curbs on new models from Anthropic highlighted a gap in India's sovereign AI capabilities [3]. Some reports indicate that India's AI model output has been slow when compared to other global powers [5].
Sandip Patel said India will need a coordinated push across government, companies, and academia on skilling and policy if it wants to become an AI powerhouse [2]. While some analysts describe current efforts as too slow and too small, others argue that a coordinated national approach can bridge the existing gap [2, 3].
The strategy focuses on a combination of policy coordination and the rapid build-out of data centers to support the computational needs of large-scale AI models [1, 2].
“India's total workforce consists of approximately 600 million workers.”
India is attempting to pivot from being a provider of outsourced IT services to a primary creator of AI intellectual property. By targeting a massive increase in skilled workers by 2030, the government is betting that sheer scale can overcome the current lead held by the U.S. and China. However, the reliance on foreign models, as evidenced by the Anthropic restrictions, suggests that infrastructure and domestic model development must accelerate to achieve true technological sovereignty.
