
India’s modest AI uptake limits its potential productivity gains and reduces its attractiveness to AI‑focused investors, while highlighting a policy gap that could widen the global technology divide.
India’s 64th place in Microsoft’s AI diffusion ranking underscores a paradox: a massive smartphone base and some of the world’s cheapest mobile data coexist with modest AI usage. In the second half of 2025, 15.7 percent of the working‑age population engaged with generative AI tools, trailing the global average of 16.3 percent. The country’s 730 million devices and 21 GB monthly data consumption create a fertile substrate, yet adoption lags behind peers such as the UAE, Singapore, and even the United States. This disparity highlights both a challenge and an opportunity for stakeholders.
The report attributes the gap to early digital‑infrastructure investment, AI‑focused skilling, and proactive government adoption—factors that high‑income economies have pursued for years. Nations like Norway, Ireland, and France report adoption rates above 60 percent, reflecting coordinated policy, broadband penetration, and corporate AI deployment. In contrast, India’s slower rollout of cloud‑grade compute, limited enterprise‑level AI pilots, and uneven broadband coverage hinder broader diffusion. Closing this divide will require concerted public‑private initiatives, expanded AI curricula, and incentives that lower the cost of compute for startups and SMEs.
From a market perspective, India remains a prime growth engine for global AI players. OpenAI, Anthropic, and Google already cite the country as a key user‑growth market, while home‑grown initiatives like DeepSeek demonstrate how open‑source models can bypass cost barriers. The upcoming India AI Impact Summit in February 2026 offers a platform for policymakers, investors, and technologists to align on standards, data‑privacy frameworks, and talent pipelines. Accelerating adoption not only boosts productivity but also positions India to capture a larger share of the projected $1.2 trillion AI‑driven economic uplift by 2030.
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