Does India Really Need Billions of Dollars of AI Compute to Become a Superpower? India wants to become a major artificial-intelligence power. But there is a difficult question behind that ambition: does a country need to own enormous amounts of computing infrastructure to be a genuine AI superpower? The answer is not as simple as “yes.” Frontier AI requires extraordinary amounts of computing power. Training and operating the most capable models involves advanced processors, large data centres, enormous electricity requirements and sophisticated networking infrastructure. Countries and companies controlling these resources therefore possess an important strategic advantage. But AI is much larger than frontier-model training. India’s opportunity may lie not only in building enormous computing clusters, but also in deciding where sovereign infrastructure is essential, where collaboration is sensible and where Indian companies can create global value without owning every layer of the technology stack. That distinction could determine India’s AI strategy over the next decade. The compute problem is real Artificial intelligence ultimately runs on physical infrastructure. Behind every large language model are semiconductor accelerators, servers, networking equipment, cooling systems, electricity and data-centre capacity. The most advanced AI systems require huge computational resources. Access to cutting-edge chips has also become