AI for Indians, AI for the world built in India

Most conversations about AI in India collapse into one bet. They shouldn't. There are two, and they call for different products, different teams, and different economics.

The first is AI for Indians. Language is the wall here, not intelligence. A model that reasons well in English and stumbles on a voice note in Bhojpuri hasn't solved the problem for the next 500 million users online. Trust, price, and bandwidth matter as much as accuracy. The winning products here won't look like a chat app with a translation layer bolted on. They'll be built assuming low bandwidth, shared devices, and a first internet experience that is voice and vernacular, not text and English.

The second is AI for the world, built in India. This is not the old outsourcing story with a new label. Indian teams have shipped globally-used products before, in payments, developer infra, and SaaS. The same depth of engineering, now applied to model work and applied AI, at a cost structure competitors can't match, is a real edge. The founders worth backing here aren't running an offshore delivery arm for someone else's roadmap. They own the product and the customer, and India is where they chose to build, not where they were forced to.

What ties the two together is capital efficiency. Small teams, tight loops between building and shipping, and a default to doing more with less compute and less headcount. That instinct travels well in both directions: serving a price-sensitive Indian user and out-executing a well-funded competitor come from the same discipline.

This is the lens I'm underwriting through: founders solving a real problem in one of these two lanes, with product decisions that follow from who they're actually building for, not from what's trending. Early stage, conviction on team and problem over traction.