India’s AI summit starts in chaos?

A global AI moment, stuck at the gate

The first images from India’s AI Impact Summit were of people packed in tight lines outside Bharat Mandapam.

About 250,000 attendees are expected at the New Delhi event, which the government is pitching as a global platform for AI leadership in the developing world. Instead, delegates described unclear instructions, missing physical passes, QR code confusion, sudden security clearances, and sessions that could not seat everyone.

This matters. When you are trying to position yourself as a serious player in global AI governance, basic logistics are part of the signal.

It is opening day. But these events are designed to send a message about competence and readiness to investors, founders, and foreign governments watching closely.

The irony is hard to miss. India wants to amplify developing nations in AI policy, yet the physical experience on the ground suggests a system still struggling with scale and coordination.

By late afternoon, journalists were still hunting for seats and power outlets under the white hall lights.

If you cannot manage entry lines, what does that say about managing AI at scale?

Apple adds AI playlists, not AI Siri

Apple still has not shipped its upgraded AI Siri, but it just slipped AI playlist creation into Apple Music.

In the iOS 26.4 beta, Apple Music includes “Playlist Playground,” a feature that generates playlists from text prompts or from at least 10 selected songs. The app also adds color matched album backgrounds and a concerts near you section, with the public release expected this spring.

This feels practical. Music is a low risk place for Apple to deploy AI that people will actually use, without the pressure that comes with overhauling Siri.

It also shows where Apple is comfortable moving first, inside controlled features tied to subscriptions rather than at the operating system level. I can imagine someone building a late night mix on the train home with a quick prompt and seeing it populate in seconds.

If this works well, users may care less about who powers it and more about whether it nails the vibe.

India’s compute gap just got capital

India has fewer than 60,000 GPUs deployed today.

Blackstone is taking a majority stake in Mumbai based Neysa, committing up to $600 million in equity, with another $600 million in planned debt to expand domestic AI compute. The startup, founded in 2023, has about 1,200 GPUs live and is targeting more than 20,000 as it chases enterprise, government, and AI lab demand.

This is a real infrastructure bet. When private equity writes checks this large, it signals confidence that local data rules and latency needs will drive sustained demand inside India.

I think the more interesting part is the expectation that India could scale toward 2 million GPUs over time, nearly 30 times today’s level. That kind of buildout changes who controls model training, pricing power, and where AI companies choose to base serious workloads.

The hum of data centers is not glamorous, but it decides who gets to build.

If this capacity actually lands in the next nine months as Neysa suggests, India moves from AI user base to AI operator.

Prohuman team

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