India is entering a defining phase of its artificial intelligence journey. The question is no longer whether AI will be adopted at scale, but whether governance can evolve at the same speed as the technology it seeks to govern.

That question matters because India is exceptionally well positioned to derive value from AI. Its digital public infrastructure, expanding compute capacity and deep technology talent base provide a strong foundation for population-scale innovation. As per the India Skills Report 2026, India accounts for 16 per cent of the global AI talent pool, while digital platforms such as Aadhaar, UPI and DigiLocker demonstrate the country's ability to take technology to extraordinary scale.

There is an interesting paradox in how India is embracing AI. The 2025 KPMG International Report -Trust, attitudes and use of artificial intelligence found that 76% of Indian respondents were willing to trust AI, 90% accepted or approved of it, and 94% expected it to deliver benefits. Yet 71% were unsure whether online content could be trusted because it might be AI-generated.

This gap between adoption and assurance makes AI governance increasingly important for India's public institutions and policymakers. As AI becomes more deeply embedded in economic and social systems, governance cannot simply be about regulating technology. It must establish the conditions under which AI can be used safely, transparently and with accountability at scale.

Importantly, such governance cannot be static. AI models, capabilities and use cases evolve, sometimes faster than traditional regulatory cycles. India's governance architecture therefore needs to be agile by design, capable of adapting as risks emerge and technology advances.

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