Blackstone President Jonathan Gray says AI risk is “top of our list” when evaluating deals; sources: the firm backed down from buying companies vulnerable to AI
“People say, ‘This smells like a bubble,’” but they're not asking: 'What about legacy businesses that could be massively disrupted?'" he said. …
Context & Ripple Effects
Blackstone's more cautious approach to vulnerable operating-company targets sits alongside its participation in the asset-manager push into AI data centers, exposing a split between financing AI buildout and owning businesses AI could displace.
Related coverage later showed private capital firms acting on the same concern: Apollo cut software exposure and developed a sector-by-sector AI-susceptibility framework. This makes AI disruption a deal-underwriting issue rather than solely a technology-market narrative.
First-order effects
- Blackstone can reject or rework prospective acquisitions whose earnings appear exposed to AI substitution, narrowing the pool of targets it will pursue.
- Management teams seeking Blackstone capital face more scrutiny of how durable their products, pricing and customer relationships remain under AI adoption.
Second-order effects
- Other private-equity buyers may need to formalize AI-disruption diligence to compete for resilient assets and avoid taking risks peers have screened out.
- Targets judged more AI-exposed could face weaker buyer demand or tougher financing and valuation discussions, while firms with credible adaptation plans gain relative appeal.
Third-order effects
- If this approach spreads, private-market valuations may increasingly separate businesses by AI resilience rather than treating an industry’s cash flows as broadly comparable.
- The emerging use of explicit susceptibility frameworks could make AI-risk assessment a standard feature of underwriting, though the persistence of these discounts will depend on whether disruption translates into operating results.
The trend: AI is becoming a two-sided private-capital theme: investors are financing the infrastructure buildout while tightening diligence on businesses that AI may erode.