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Blackstone's Jon Gray on Big Bets, AI, & Staying Skeptical | The CEO Signal

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Overview

Blackstone COO/President Jon (John) Gray explains how Blackstone makes and manages “big bet” investments at massive scale while staying skeptical about future outcomes—especially in AI-related infrastructure.

Key Takeaways

1) Investing is harder because of secular change, not just cycles

Gray argues that today’s challenge is forecasting values in sectors like:

  • professional services
  • information services
  • media
  • software

In these areas, business models can expand or be “knocked out” due to structural shifts—not just typical cyclical ups and downs.

2) Governance: centralized process with consensus execution

With ~$1.3T AUM, Blackstone uses multiple investment committees and a structured workflow:

  1. Heads-up (early signal/visibility)
  2. Pre-investment (deeper pressure-test)
  3. Investment committee (final decision gate)

Gray emphasizes that authority is not purely dispersed. Instead, decision-making remains centralized in the process, while consensus is built and business-unit teams execute.

3) “Good neighborhood” theme investing: pattern recognition + derivatives

Gray frames theme investing as building an environment where teams can spot early tailwinds and connect the dots.

Examples he cites:

  • Logistics/warehouses Initial warehouse buying led to noticing e-commerce tenants moving closer to population centers—then expanding the theme across geographies.

  • Data centers and AI infrastructure Early signals included hyperscalers placing very large orders. That evolved into “picks and shovels” exposure such as:

    • land
    • steel/construction
    • cooling
    • electrical equipment

The theme later expanded into downstream areas, including (eventually) considering models/LLM-related investing.

He adds there is no fixed formula—the “neighborhood” fans out into adjacent bets as opportunities evolve.

4) The distinctive edge: once convinced, “go big”

Gray’s view is that the key differentiator isn’t only spotting a theme—it’s committing substantial capital when conviction is high, supported by the firm’s capital base.

5) Capital raising and product design have evolved

Blackstone has broadened funding sources beyond traditional U.S. pensions/endowments to include:

  • sovereign wealth
  • insurers
  • individuals
  • perpetual-style vehicles

It has also shifted away from drawdown-only structures toward longer-lived, compounding capital—notably open-ended funds, more like “owning for decades.”

6) AI infrastructure bets include downside protection and staged risk

Gray argues conviction must not harden into rigid consensus. For many data center and energy-type assets, risk is mitigated by:

  • long-term leases
  • long-duration contracts

As investments move further along the risk spectrum (e.g., deployment of models via specialized companies/services), Blackstone still seeks protections and structures, while acknowledging uncertainties such as:

  • token costs falling
  • changes in preferred model usage
  • regulatory shifts driven by elections
  • potential derisking through selling stabilized assets

7) Disagree without breaking trust

Gray describes a culture of being:

“Hard on issues, soft on people.”

The goal is intellectual rigor—debate aimed at reaching the right risk-adjusted answer. He also mentions tactics like:

  • sometimes having younger voices speak
  • (for himself) trying not to speak first in heated discussions

Participants are expected to come prepared with memos.

8) Maintain equanimity: bad moment vs. bad call

Using the Hilton purchase before the GFC, Gray explains that they treated it primarily as cyclical (travel demand would recover). The call was right, but the timing arrived sooner than expected. The outcome still became highly profitable.

He uses this to distinguish:

  • “bad moment” (temporary conditions) vs.

  • “bad call” (fundamental thesis failure)

And he notes that secular disruption makes this separation even more important today.

9) Private credit liquidity concerns: design matters, performance must judge

Gray addresses criticism that private credit can have limited liquidity. His stance:

  • liquidity limits exist to avoid forced fire sales
  • he references testing via REIT-like structures with redemption caps that held up and produced premiums to public markets

The core questions, he argues, are:

  • transparency
  • valuation discipline
  • whether investors earn a premium

10) Software disruption in private credit: seniority shifts losses elsewhere

Gray suggests disruption risk is more concentrated in equity/first-loss positions because lenders are senior.

For their software credit products, he cites a low average loan-to-value (~37%), implying the equity cushion absorbs more of disruption pain.

11) Leadership at scale: delegate, set the tone, lead by example

Gray says he can’t run every transaction anymore. His role shifts toward strategy and thesis formation while investment partners execute.

Key points include:

  • leading by example
  • maintaining positivity and commitment
  • fostering entrepreneurship without devolving into “rogue” behavior

He also notes that good systems should not suffocate creativity.

12) What makes talent “catalytic”

Gray looks beyond intelligence, emphasizing:

  • relentless will to win
  • strong judgment and followership (people want to work with and follow them)
  • treating people well

If leadership capability isn’t complete, he suggests complementing with strong operational partners (e.g., CFO/COO).

Outlook

Gray says he is not a “doomer”, but remains candid:

  • He expects large near-term labor demand from physical AI buildouts (data centers, energy, logistics).
  • He sees new job categories emerging.
  • He acknowledges displacement will require retraining and policy solutions.

He argues leaders should communicate both the benefits and challenges without false certainty.

Presenters / Contributors

  • John (Jon) Gray — President & Chief Operating Officer, Blackstone (guest)
  • Penny — Co-host / interviewer on The CEO Signal
  • Edge — Co-host / interviewer on The CEO Signal
  • Steve Schwarzman — Chairman & CEO of Blackstone (referenced)
  • Tim — appears briefly in host banter (not otherwise identified)

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