Indians are more optimistic about AI than Westerners because AI is seen less as a threat to the workforce (which has proportionally fewer white-collar jobs) and more as a crucial national opportunity. AI is viewed as a "leapfrog" technology to accelerate development and close the economic gap.

India, ChatGPT's second-largest market, reveals distinct user behaviors like prioritizing WhatsApp over email and spoken over typed commands. This highlights the need for AI products to adapt to local communication norms in the Global South, rather than assuming Western-style usage patterns.

Instead of directly funding AI data centers, India's national AI mission uses a demand-side strategy. It subsidizes compute access for users like startups and researchers, creating a guaranteed market that incentivizes private companies to build and offer compute capacity competitively.

India is taking a measured, "no rush" approach to AI governance. The strategy is to first leverage and adapt existing legal frameworks—like the IT Act for deepfakes and data protection laws for privacy—rather than creating new, potentially innovation-stifling AI-specific legislation.

Instead of competing to build sovereign AI stacks from the chip up, India's strategic edge is in applying commoditized AI models to its unique, population-scale problems. This leverages the country's deep experience with real-world, large-scale implementation.

Indian startups are carving a competitive niche by focusing on the AI application layer. Instead of building foundational models, their strength lies in developing and deploying practical AI solutions that solve real-world problems, which is where they can effectively compete on a global scale.

Contrary to the global trend where consumer applications dominate AI usage (70%), India's adoption is heavily skewed towards productive enterprise use (60%). This business-first approach is driven by a large STEM workforce leveraging AI for efficiency gains in sectors like finance and healthcare.

A key strategic difference in the AI race is focus. US tech giants are 'AGI-pilled,' aiming to build a single, god-like general intelligence. In contrast, China's state-driven approach prioritizes deploying narrow AI to boost productivity in manufacturing, agriculture, and healthcare now.

India's Ministry of Electronics and IT (Meti) acts as a promoter and facilitator for the AI sector, not a traditional regulator. It uses "policy nudges" and strategic programs like the India AI Mission to coordinate and foster collaboration between private companies, academia, and research organizations.