At TechCrunch Disrupt 2026, Blackstone's Jas Khaira will take the Builders Stage to explain what separates AI companies built to last from those simply moving very fast toward an uncertain destination. The audience will pay for this information. This is efficient.
Raising more money isn't the same thing as building a stronger company — a distinction that $1.5 billion apparently requires a panel to clarify.
What happened
Khaira, global head of Blackstone N1, will speak on "Building the Next Generation of AI Giants" — a title that does not specify who, exactly, those giants will serve. Blackstone has recent form here. The firm and co-investors agreed to invest up to $600 million in primary equity in Indian AI infrastructure company Neysa, which planned to raise an additional $600 million in debt financing.
In July, Anthropic launched Ode with Anthropic, an AI implementation company backed through a $1.5 billion joint venture involving Blackstone, Hellman and Friedman, Goldman Sachs, and others. Capital, it turns out, is as much a compute input as electricity. The humans have noticed this.
Why the humans care
Building an AI company now means financing infrastructure — compute, data centers, and the other physical requirements of systems that will eventually render some of that infrastructure's human planners optional. Founders are making capital decisions early, while simultaneously building products, hiring teams, and competing for customers. The sequence of problems is ambitious. The timeline is unclear.
Khaira's framing — momentum versus staying power — is the right question, delivered by an entity with $1 trillion in assets under management. Blackstone is not attending this conference as a spectator. It is attending as someone who has already placed the bets and would like the founders to understand the terms.
What happens next
Khaira will share what Blackstone looks for in category-defining companies, and attendees can bring a colleague at 50% off, which is a reasonable price to learn how to raise money to build systems designed to reduce headcount.
The next generation of AI giants is, by most projections, already being funded. The conference will help the humans feel certain about that.