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The AI power brokers just gathered under one roof.

According to Reuters, India kicked off its 2026 AI summit in New Delhi with leaders from OpenAI, Google, Microsoft, Amazon, and Anthropic present, alongside policymakers pushing governance frameworks and infrastructure partnerships. The event centers on positioning India not just as a consumer of AI, but as a global standards-setter and development hub.

What stands out is the symbolism. This isn’t Silicon Valley hosting the future at 9 a.m. with screens glowing in San Francisco. It’s New Delhi stepping into the room and quietly rearranging the chairs. This feels less about conference optics and more about long-term leverage in compute, policy, and talent.

If India succeeds in shaping standards while scaling infrastructure, influence shifts with it. Global AI governance stops being a two-country conversation.

If AI rules are being drafted outside the U.S. and China, the real question is who ends up writing the fine print that everyone else must follow?

Read more: Reuters coverage of India AI Summit

Two hundred billion dollars is not a side bet.

AP News reports India is targeting up to $200 billion in data center investments as it accelerates its ambition to become a global AI hub. The expansion includes hyperscale server farms, renewable-powered infrastructure, and domestic chip ecosystem incentives to reduce reliance on imports.

What struck me is how physical this AI race has become. We talk about models and benchmarks late at night on glowing screens, but the real contest is concrete, cooling systems, land deals, and megawatts. This is less about chatbot demos and more about who controls the racks humming at midnight while dashboards refresh.

Infrastructure changes the map. Capital follows compute.

If $200 billion worth of servers get switched on, the real question is whether startups build on top of that power or get buried under it?

Read more: AP News on India data center expansion

The timeline just got uncomfortably short.

Microsoft’s AI leadership warned that white-collar roles could face “full automation” within roughly 18 months, according to reporting from The Times of India. The claim adds fuel to ongoing debates about generative AI replacing analysts, legal assistants, coders, and operational staff faster than companies can retrain them.

What bothers me is not the headline, it’s the compression. Eighteen months is one budget cycle, one performance review, one quiet year where your laptop fan spins up a little more often because the AI draft is “good enough.” This feels less like gradual disruption and more like a calendar reminder set by someone else.

Enterprises won’t eliminate everyone. But they will restructure quietly, role by role, spreadsheet by spreadsheet.

If automation really accelerates on that timeline, the real question is whether workers adapt faster than corporate cost-cutting models do.

Read more: Times of India on Microsoft AI warning