A year ago, the conversation around enterprise AI was simple: build a chatbot, connect an LLM, and demonstrate how quickly it could answer questions. Today, the conversation has changed. It's no longer just about what AI can do—it's about whether organizations can trust it with their most valuable asset: data.
India's Digital Personal Data Protection (DPDP) Act has become one of the biggest catalysts for this shift. While many view it as another compliance requirement, I believe it's doing something much more important. It's forcing AI companies to rethink the way they build products from the ground up.
The companies that adapt will build enterprise-grade AI. The ones that don't will continue building impressive demos that never make it into production.
The AI Race Started With Intelligence. It Is Now About Responsibility.
For the past two years, the AI industry has been obsessed with intelligence. Every new model promised better reasoning, larger context windows, faster responses, and lower costs. Startups competed on benchmarks, token speeds, and model capabilities.
