Financing decisions now arrive earlier in the life of AI startups than product-market fit can confirm. That tension frames the session "Building the Next Generation of AI Giants" at TechCrunch Disrupt 2026, where Jas Khaira, global head of Blackstone N1, will speak on the Builders Stage. The discussion centers on what separates companies built to last from those growing fast, and why this matters for founders facing capital-intensive scaling.
What Khaira will address on the Builders Stage
Khaira will outline what Blackstone looks for when backing category-defining companies and how founders should think about capital while scaling. The agenda includes infrastructure, talent and expansion funding, plus the distinction between raising more money and building a stronger company. Disrupt runs October 13-15 at Moscone West in San Francisco, with more than 10,000 founders, investors and operators expected alongside 250 speakers and 300 exhibiting startups.
The session is one of more than 200 sessions across six industry stages, roundtables and breakouts. Beyond formal programming, the event offers matchmaking, dealmaking and ad hoc networking with potential investors, customers and partners. Khaira joined Blackstone in 2004 and leads Blackstone N1 and Blackstone Growth, as well as tactical opportunities Americas. He also serves on several investment committees and founded Blackstone N1 as a platform for growth and perpetual private equity investing.
Compute, data centers and related infrastructure add capital requirements that go beyond product development and customer acquisition. Founders may therefore raise financing while building products, hiring teams and competing for customers, before knowing whether early advantages will hold. Rapid growth can attract staff and investors, yet it does not answer whether momentum will turn into an enduring business. That timing gap explains why capital strategy has become a core operating question.
What this means for AI business financing
For companies approaching infrastructure-heavy growth, the examples cited show the scale involved. Blackstone 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 with Blackstone, Hellman and Friedman, Goldman Sachs and others.
Those cases point to two different funding patterns that buyers and operators should not confuse. Infrastructure deals combine large equity with debt, while implementation ventures pool capital from several financial partners around deployment expertise. For a small company, the lesson is that compute access and delivery capacity shape vendor choice; for a large company, the issue is structuring expansion without tying growth to a single financing round. Availability of solutions will depend on who funds the layer beneath the model.
Khaira's framework still leaves several checks for management teams. The source does not disclose Blackstone's selection criteria, return thresholds or preferred deal structures, so the session alone does not provide a template for valuation. Companies should ask what capital is earmarked for infrastructure versus hiring, what milestones trigger further funding, and how dependence on leased compute affects margins. Fast traction, headcount growth and press coverage do not by themselves confirm durability.
