Stock Markets February 3, 2026

Blackstone Sees AI-Driven Disruption as Central Strategic Concern

Firm prioritizes digital infrastructure investments while flagging sector-specific risks from AI advances

By Leila Farooq
Blackstone Sees AI-Driven Disruption as Central Strategic Concern

Blackstone’s president and COO Jon Gray said artificial intelligence-driven disruption is a leading consideration for the firm, urging portfolio-wide attention to potential impacts. While some assets such as sandwich shops and apartment complexes are seen as relatively insulated, Gray highlighted sharper questions for businesses that depend on rules-based operations and auto-related services. Blackstone has concentrated investments in AI infrastructure, including data centers, power assets, and select AI software companies, while favoring 'picks and shovels' plays as lower-risk ways to participate in the AI trend.

Key Points

  • Blackstone’s leadership considers AI-driven disruption a top strategic concern and is incorporating it into investment decision-making across its portfolio.
  • Some asset types in the portfolio, such as sandwich shops and apartment complexes, are viewed as less exposed to AI disruption, while rules-based businesses face greater uncertainty.
  • The firm has invested heavily in AI infrastructure - including data center operator QTS, power generation and transmission assets, and an agreement to acquire U.S. utility TXNM for $11.5 billion - and is also backing AI software and large-language-model companies.

Speaking at the WSJ Invest Live event in West Palm Beach, Florida, Jon Gray, president and chief operating officer of Blackstone, said the prospect of business disruption from artificial intelligence is "top of the page" for the firm.

Gray told the conference audience that Blackstone is treating AI considerations as a near-universal factor across its investments. "You want to be thinking about this in almost everything you’re doing now," he said, framing AI as a cross-cutting development that requires active attention from investors and managers.

Blackstone, which manages assets totaling $1.27 trillion across numerous sectors globally, does not view all holdings as equally exposed. Gray noted that some real-world businesses in the portfolio, specifically sandwich shops and apartment complexes, are "less at risk" from AI-driven change.

By contrast, Gray pointed to examples where AI developments raise more fundamental questions. He cited a case of an insurance company lowering rates for customers who use self-driving cars, and said that type of shift prompts secondary considerations: "You start to say, well, what does that mean for collision repair? What does that mean for auto insurance? What’s going to happen to all sorts of rules-based businesses?"

Responding to the AI megatrend, Blackstone has directed significant capital to the infrastructure that supports AI applications. Gray highlighted investments in data center operator QTS, which contributed to fund growth in the prior year, as well as investments in power generation and transmission. He also noted the firm agreed to buy U.S. utility TXNM for $11.5 billion last year.

On strategy, Gray recommended a focus on so-called "picks and shovels" plays as the more conservative way to engage with AI. "You don’t necessarily have to know who the winners and losers are going to be," he said, explaining that data centers, autonomous vehicles, and robots will all draw on electrical and digital infrastructure: "They are all going to plug into the wall and there’s going to be a lot of need for digital infrastructure."

At the same time, Blackstone is investing directly in companies developing large language models and software that applies AI technologies. Gray acknowledged that these direct software investments "are obviously riskier," while also expressing the view that they could create substantial value.

The remarks underscore Blackstone’s dual approach: pursue infrastructure assets that form the backbone of AI deployment, while also taking targeted, higher-risk positions in AI software where upside potential exists.

Risks

  • Businesses that rely on rules-based processes may face disruption as AI and autonomous technologies evolve, with specific implications for collision repair and auto insurance.
  • Direct investments in AI software and large-language-model companies carry higher risk compared with infrastructure plays, even though they may offer significant potential value.
  • Shifts in pricing and risk models by companies (for example, insurers lowering rates for self-driving car users) can produce secondary effects across related service sectors and supply chains.

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