What does India need to do to catch up in the AI race?

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[background music] Hello, folks. You're tuned into Finshots Daily. In today's episode, we explain why the AI race is not just about building the smartest model. Before we begin, here's a quick word from team Ditto. Life can be unpredictable, and if the main earner is not around, the bills won't stop. That's why term insurance is so important. It gives your family a fixed payout, so they can cover school fees, EMIs, and daily expenses without stress. If you buy it early, you can get a one crore cover for as little as thousand rupees a month, and the premium stays the same for your entire policy term. That's real peace of mind at a very small cost. And if you're not sure which plan is right for you, book a free call with Ditto. No spam, just honest guidance. And we're trusted by over eight lakh people for their health and term insurance needs. Now, back to the story. Last week, Nvidia unveiled the RTX Spark, a new generation of AI chips designed for laptops with up to one petaflop of AI compute. In simple terms, Nvidia is trying to build serious AI capability out of the data center and onto a developer's desk. With 128 GB of unified memory, these systems can run some AI workloads locally, including prototyping and fine-tuning large models. So the company at the center of the AI revolution is now trying to make powerful AI infrastructure feel almost personal. And yet, as impressive as Nvidia's breakthroughs are, they reveal an even more fascinating story.