TechCrunch Disrupt 2026: Blackstone’s Jas Khaira on building the next generation of AI giants
AI startups can grow at a speed that would have been difficult to imagine a generation ago. But rapid growth comes with another reality: scaling AI can require enormous amounts of capital, and founders have to make financing decisions long before they know whether early momentum will turn into an enduring business. So what separates the AI companies built to last from those simply growing fast?
- ▪AI startups can grow at a speed that would have been difficult to imagine a generation ago.
- ▪But rapid growth comes with another reality: scaling AI can require enormous amounts of capital, and founders have to make financing decisions long before they know whether early momentum will turn into an enduring business.
- ▪So what separates the AI companies built to last from those simply growing fast?
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Record
| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/10/02/techcrunch-disrupt-2026-blackstones-jas-khaira-on-building-the-next-generation-of-ai-giants/ |
| Publication time | Fri, 02 Oct 2026 15:00:00 +0000 |
| Retrieval time | 2026-10-02T15:01:20.451Z |
| Last seen | 2026-10-02T15:01:20.451Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | JW7S8fyC0r_w · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
AI startups can grow at a speed that would have been difficult to imagine a generation ago. But rapid growth comes with another reality: scaling AI can require enormous amounts of capital, and founders have to make financing decisions long before they know whether early momentum will turn into an enduring business. So what separates the AI companies built to last from those simply growing fast? At TechCrunch Disrupt 2026, Jas Khaira, global head of Blackstone N1, will take the Builders Stage for “Building the Next Generation of AI Giants.” He’ll share what Blackstone looks for when backing category-defining companies, how founders should think about capital as they scale, and what distinguishes lasting businesses from early traction.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at TechCrunch.
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