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Jonathan Gray
General Partner, President, Chief Operating Officer & Director, Blackstone Inc

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

📅 Aug 27, 2026 Semafor and Blackstone 50 MIN 86488 VIEWS 105 SEGMENTS · 4 SPEAKERS
Jon Gray, chief operating officer of the $1.3 trillion asset manager Blackstone, says one of the firm’s distinguishing habits is to “go big” when it finds a theme it believes in. But he also says successful convictions need to be challenged, particularly as Blackstone invests heavily around artificial intelligence. “You keep pressing against what you’re doing to confirm that you haven’t just sort of fallen in love,” he says. In this episode of The CEO Signal, Gray describes investing as “pattern recognition”: finding “good neighborhoods,” and connecting the dots before others do. Hosted by Pe...

What Jonathan Gray said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Jonathan Gray, President and COO of Blackstone, discussed the firm's investment philosophy and operations. He emphasized that Blackstone centralizes decision-making through investment committees despite its scale, and that the firm's distinctive advantage is going big on identified themes. Gray described how Blackstone identifies 'good neighborhoods' organically, citing logistics after the financial crisis and data centers as current major themes. He detailed the AI infrastructure bet, noting that 90-95% of capital is deployed after securing long-term leases with major tech companies. Gray addressed private credit, defending semi-liquid products like BREIT, which he said delivered a 40% premium over public REITs. He discussed the Hilton investment, where Blackstone added $800 million during the crisis and ultimately made $14 billion. Gray also shared his views on AI's impact on jobs, predicting a blue-collar boom, and emphasized the importance of leadership quality in investment decisions.

Key takeaways

  1. Blackstone's distinctive advantage is going big on identified themes, not doing onesy twosy investments.
  2. 90-95% of data center capital is deployed after securing long-term leases with major tech companies, mitigating risk.
  3. BREIT clients earned over a 40% premium versus public REITs over a decade, validating the semi-liquid model.
  4. Blackstone added $800 million to Hilton at the bottom of the crisis, ultimately making $14 billion.
  5. Gray predicts a massive blue-collar job boom from AI infrastructure, with data center jobs quadrupling to over 40,000.

Numbers and commitments

FigureWhat it refers toTypeAt
1.3 trillion Assets under management at Blackstone metric 6:33
90-95% Share of data center capital deployed after long-term leases metric 17:01
$800 million Additional capital invested in Hilton during the crisis commitment 23:07
$14 billion Profit made on the Hilton investment metric 24:21
40% Premium earned by BREIT clients versus public REITs over a decade metric 26:32
37% Average loan-to-value on software deals in BC product metric 30:58
$3 billion Average equity check in software deals metric 30:58
40,000 Number of people working on data center job sites after quadrupling metric 41:14
34 plus years Years Gray has worked with Steve Schwarzman other 5:33
$750 million Blackstone's capital when Gray started metric 13:14

Chapters

  1. 0:00Running videos and communication
  2. 5:33Role division with Schwarzman
  3. 6:46Decision-making at scale
  4. 8:52Identifying good neighborhoods
  5. 17:01AI infrastructure investment
  6. 22:28Hilton investment and cyclical vs secular
  7. 26:32Private credit and semi-liquid products
  8. 32:35Leadership style and talent
  9. 39:11Future of AI and jobs
  10. 43:58Evaluating company leadership

Questions asked in this interview

12
  1. 3:42Folks like me get to see them on LinkedIn. Why do you do them?
  2. 5:18What in practice does that mean about how the two of you divide up roles and responsibilities?
  3. 8:52How do you decide what's a good neighborhood and what's that process like?
  4. 16:00I want to ask a little more about AI infrastructure because your bet there is so huge you know when you're putting so much capital to work on one of your convictions you know how do you ensure that conviction doesn't harden into consensus?
  5. 20:57Are there specific things you've learned to do in those investment committee meetings to make sure you are hearing all the players in the orchestra and they all feel they can?
  6. 22:28How do you tell the difference between we're going through a bad moment and we've made a bad call?
  7. 29:19Are we in for an extended period?
  8. 32:54And what have you had to let go of?
  9. 34:17But how so how do you get that balance right between the individual and the firm and the kind of the entrepreneurial intensity that they have and that you want and the discipline that you need when the stakes are this high?
  10. 36:36How do you think about what are the one or two or three things you say to yourself?
  11. 39:11If we weren't talking about that what would we be talking about? What's the next great neighborhood?
  12. 42:23What do we have to do?
Narrator 0:00 ↗
Today the hardest part of investing is to know what are professional services going to be worth. What is a billable hour? What's going to happen in information services? What's going to happen in the media business? What's going to happen in the software business? These are much harder questions because now we're talking about secular changes where in some cases some of these businesses will thrive but others will get knocked out. Understanding that, anticipating it, pricing that. That is what we're facing every day and that's what we're trying to navigate for our investors.
Today on the CEO Signal, we're talking to John Gray, president and chief operating officer of Blackstone. Blackstone is one of the world's largest alternative asset managers and one of the most powerful voices in private capital. Gray helped build Blackstone's global real estate business. He's also been central to the firm's rise from a dealmaker to a global investment platform. Now, Blackstone is making huge bets in private credit, in logistics, in life sciences, and in the infrastructure behind artificial intelligence.
So, how does John Gray decide which themes and sectors are worth betting on? And how does he tell the difference between a bad moment and a bad call? From Seaphur. This is the CEO signal.
Penny 1:33 ↗
Hello, Edge. It's great to see you.
Edge 1:35 ↗
Hi, Penny. Great to have you back in New York.
Penny 1:37 ↗
I'm really excited to be here and I'm excited about our guest, John Gray. He's not technically the CEO of Blackstone. He's the COO, but he's someone I really want to hear from.
Edge 1:48 ↗
Yeah, we're the CEO signal, but we will bend the rules for a COO like John because from all I hear from his senior colleagues, he is deeply inside every decision that they make, the biggest decisions about where to commit their capital. He's reading every memo. He's giving very detailed feedback. He's testing the assumptions and he's really helping set the direction for their biggest investments.
Penny 2:10 ↗
Absolutely. And one of the things I really want to hear about is what's the process? How does he decide where to invest? Who to invest with, what interests them, because from what I understand, Blackstone, when they make a decision about something they like, they go very big. They put a lot of capital to work.
Edge 2:29 ↗
And I think that's the tension. John needs enough conviction to commit the firm to go in a certain direction, but he also needs to keep testing that thesis after it's set off in that direction.
Penny 2:39 ↗
And then there's another side, Tim. What's with the running videos? Yeah, these have gone viral on LinkedIn, but they're not really what you would expect from one of the most senior figures in finance, are they?
Edge 2:48 ↗
I think they make him approachable. I think it's a way for him to connect with people.
Penny 2:52 ↗
You are a runner. I am not a runner. Uh, have you been tempted to do this yourself?
Edge 2:57 ↗
I'm not going to do running videos. I'm doing this show with you, Edge.
Penny 3:01 ↗
Well, I'm very glad of that, Penny. So, let's bring in John.
Narrator 3:06 ↗
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Penny 3:28 ↗
Okay. Welcome, John. We're really thrilled to have you here.
Jonathan Gray 3:31 ↗
It is great to be with you. Thanks for joining us.
Edge 3:33 ↗
Thank you. So welcome to the CEO Signal. And before we get into talking about Blackstone, I want to ask you about your running videos.
Penny 3:41 ↗
The important stuff.
Edge 3:42 ↗
Absolutely. So, you do these running videos all over the world. Folks at Blackstone see them. Folks like me get to see them on LinkedIn. Why do you do them?
Jonathan Gray 3:53 ↗
Well, it's funny. Um, I think what it's really about, and it happened very organically, is it enables me to communicate with people at scale in an authentic way. If you watch them, they're basically sort of dorky dad vibes. Um hopefully a little bit of optimism, a little bit of insights into the world. And it there there's also, I think, an element of you just being sort of a human, right? A norm, right? You're a person. And if you think about the investment business, it's really a trust business at the end of the day. And you're showing people like, hey, we're good people. We care about the right things. You can trust us. So, I think there are multiple levels and it's sort of fun, funny, and you know, at some point people will be like enough with these running videos. But for now, we keep going.
Penny 4:45 ↗
They're very human. And is that partly because you're trying to bring in more retail investors and also future generations of talent.
Jonathan Gray 4:51 ↗
I think it's a bit of everything. I mean, it is funny that when we're interviewing people these days, they will often say like, 'Oh, I hadn't thought about your firm or something, but I like your running videos.' We do a silly holiday video at the end of the year. We obviously have now hundreds of thousands of individual investors and financial advisors and you're connecting with them. And so as your business goes from small scale to large scale, this is a way to reach a much bigger audience.
Edge 5:18 ↗
So we're going to get into that scale story, but I just want to start off with a slightly clarifying question. You are president and chief operating officer. Steve Schwarzman is the chairman and CEO. What in practice does that mean about how the two of you divide up roles and responsibilities?
Jonathan Gray 5:33 ↗
Well, I've worked for Steve now for 34 plus years and it's been an amazing experience for me and I think we've created a really special partnership. In reality, what does it mean? He is, you know, the visionary founder of the business. He's got brilliant insights. He's got tons of knowledge and judgment. And my job is to run the business on a day-to-day basis and continue to push us forward. And then Steve and I talk regularly about the challenges we're facing and it's a big job, it's a big world. And I think people would say, 'Oh, is this a problem?' I think of it as a complimentary thing where somebody with that much experience and judgment to be able to talk to them on a regular basis about the challenges we're facing and what are the right decisions. That's been a real blessing for me.
Edge 6:33 ↗
So talk about scale. Blackstone I think has about 1.3 trillion under management, 250 companies in your portfolio. How do you do decision making at scale like that?
Jonathan Gray 6:46 ↗
Yeah, it's interesting. You would think that it is disseminated, dispersed that decision-making authority, but the reality is as an investment organization, the quality of the decisions you make determine your future outcome. And so we have a system of investment committees that involve the people in those individual business units as well as a small number of us who sit overseeing the firm and we still do them on a centralized basis. Now smaller decisions, some of the lower risk decisions may get allocated at the group level, but we still run it like a small business in a lot of ways because if the pizza doesn't taste good and the pizza for us or the net returns we produce for the customers, if that doesn't, nothing else matters. So, I'd say the way we do it is you send folks off within business units. They have their strategy about what they're looking for. The decision-making process is more centralized, but is consensus by nature. We had a very interesting dialogue about a business today where one of the investment committee members identified something we saw as a flaw in the business. The team I think recognizes it and as a result this will probably be harder for us to make the investment but it is a little bit more like an orchestra or something. It's not just one person playing, it's not a soloist. It's a process that we've been working on now for four decades to make sure we can produce the best outcomes. It doesn't mean we always get it right. There's generally a process, heads up committee, pre-investment committee, investment committee, series of questions, and you're just trying to make the best judgments possible.
Edge 8:52 ↗
Let's step back for a minute. Something that interests me is you all do theme investing. You personally went from doing individual real estate deals 34 years ago to developing platforms or ideas for platforms that other people are running, whether it's real estate or logistics or life sciences or private credit and now a huge investment in the infrastructure behind AI. How do you and I think you call them good neighborhoods you want to invest in. How do you decide what's a good neighborhood and what's that process like?
Jonathan Gray 9:31 ↗
We have a Whopper supercomputer. We push a button that says good neighborhood and it shoots it out.
Penny 9:37 ↗
Children, you have one of those.
Jonathan Gray 9:38 ↗
Yeah. Yeah. Exactly.
Edge 9:39 ↗
That's what all the AI guys are telling you.
Jonathan Gray 9:41 ↗
Exactly. Look, it again, it's a little bit organic. I think the key thing sticking with organic is you've got to create the right environment where you're encouraging people to look for these thematic tailwinds and you're encouraging people to share these ideas because if you think about investing as pattern recognition. If you can connect those dots before other people then you have a chance to produce an outsized return. So, you know, you mentioned logistics. We started buying after the financial crisis. Warehouses and we bought them because they were inexpensive and so forth, but then we owned a bunch and we were noticing these e-commerce tenants were showing up and particularly the ones that were closer to population centers. We were seeing this incremental demand we would not have expected. And you watch that for a while and you say, 'Huh, okay. I'm going to buy more of those and get closer to population centers.' And then you're like, 'Wow, this is working in the US. What about Canada? What about Europe? What about Australia? What about Japan?' And so you see this and then what's interesting in these often times it can be the derivatives that are off of it. So you know the data centers which have become our biggest theme today came about we bought a data center business we privatized it in 2021 at the time we did it because we thought it was inexpensive we thought cloud migration was happening and yet we noticed the big hyperscalers were starting to come for very large orders. This was the early days of training and we were like, 'Huh?' And we're like, 'Well, what if we went out and bought some land and ordered some steel and got ahead of this? And what if we started doing it in other geographies in Europe?' Same sort of thing. And then you say to yourself, interesting. Well, what's inside the data center? And what about if we bought some cooling? And what if we bought electrical equipment? And what if we bought contractors? And huh. And by the way, maybe the large language models that are doing all this, maybe we should invest in those, too. And you begin to sort of fan out against this neighborhood because you say there's a bunch of things in here. And sometimes the things that are one or two derivatives off may be less expensive. Had you invested in memory chip companies 12, 18 months ago would have been one of the greatest investments of all time. So I think what we're trying to establish is what are these really interesting areas and they change over time and then how can we get at it. But to your point, no set formula, more just an organization who recognizes this is something we've got to seek and find.
Edge 12:30 ↗
So you're not alone in looking for good neighborhoods. I'm sure all of your peers are trying to do something similar for this. I'm just curious where you think you have a distinctive advantage in spotting those early and is there something that makes an opportunity a distinctively Blackstone opportunity.
Jonathan Gray 12:47 ↗
I think the distinctive Blackstone thing would be when we identify something we go big. That would be the distinctive thing that if you find a theme that you're like, 'Wow, I really see it.' Rather than doing onesy twosy, let's really go for it.
Edge 13:04 ↗
So going big requires you to have a really big capital base. What's changed about capital raising in that part of the equation?
Jonathan Gray 13:14 ↗
Well, I mean when I started, what's crazy is we had $750 million versus over 1.3 trillion. So that's sort of hard to fathom. I would say where we raise capital has broadened a lot. It used to just be basically US pension funds, endowments, and that's become global. It's become sovereign wealth funds. It's moved into it used to be just the highest return strategies, private equity, real estate, private equity, opportunistic credit. It's become now things like investment grade credit for insurance companies, but doing that privately. We've got a bunch of insurers. We talked about it, but we have individual investors now and perpetual vehicles. Our business was built on draw down funds. You raise the money, you invest in something, buy it, fix it, then sell it, return the capital. Now the money stays and is compounding. And so in some ways, some of these like our infrastructure, our open-ended real estate funds are more like families where you're owning things for hopefully decades. But I would say, you know, the scale of this has changed and therefore our capabilities, what you need to do has obviously changed because yes, you can raise money, but you've got to be able to deploy it effectively.
Edge 14:40 ↗
And is the conversation with the capital source changed in the sense they're saying to you, here's what I need. I'm an insurance company. I need to match fund a certain liability versus I'm a sovereign wealth fund. Give me the biggest best idea and how do you capture all of that so that you're...
Penny 14:59 ↗
I know it's a good neighborhood in AI or infrastructure but I've got over here different risk appetites so different scale.
Jonathan Gray 15:07 ↗
I think what the business has evolved to is you're really a full-service private market capital solution provider which is a mouthful but it's basically this idea that we sit down, we often say, 'Don't go to clients and sell products.' Listen, what you're trying to do is provide solutions to them. In the old days when we showed up, you know, we all here, what we got? I got vanilla ice cream and chocolate ice cream. Which one do you want? Now, when you're operating at a much bigger scale. Now, you're saying how can I help solve what your issues are? So the capturing the intellectual property of that or capturing here's what my customer the capital provider wants. Also capturing here's the good neighborhood and then matching those things has got to be a huge effort.
Edge 16:00 ↗
Yeah. Because it may be that the good neighborhood works for both. But in one case for the insurance company to capture the good neighborhood they can get excess return doing a GPU financing that's guaranteed by a hyperscaler. And for someone else who's looking for spicier returns, they want to invest with us in growth equity and get smaller AI application software companies where they're hoping we could have very high multiples of their capital. So I but to me this is part of the special sauce which is we're getting to see this whole range of clients. We're getting to see this whole range of companies, this whole range of countries and hopefully we can bring that back together and deliver out performance because ultimately that's what the business has to be about. I want to ask a little more about AI infrastructure because your bet there is so huge you know when you're putting so much capital to work on one of your convictions you know how do you ensure that conviction doesn't harden into consensus?
Jonathan Gray 17:01 ↗
Yeah. Well, I think you keep pressing against what you're doing to confirm that you haven't just sort of fallen in love and it's just like trees grow to the sky. So, if we use data centers as the example, I think the key there is that 90-95% of the money goes in the ground after you have a long-term lease with one of the biggest technology companies in the world. So if you contrast that to say building condos in Miami, somebody sells a condo at a very high price, 20 other people go out and build. Guess what? The price falls down because there's a ton of new supply. Here I'm building this 5-10 billion data center because one of these massive tech companies signs a 15-year lease with me. So my risk is much more mitigated. It's very similar with some of the energy things you're doing. You're building a power plant or a pipeline or an LNG facility, you're getting contracted. Now, as you move further on the risk spectrum, you get to large language models or deployment. We're creating a TPU company with Google in the Neocloud space. There's more risk in that versus long-term data center leases. We're creating a service company with Anthropic to deploy the technology. Now, I can explain to you why I think all these are going to be really great things, but I would say we're a place by its nature that is sort of skeptical and the people who come to the room are saying, 'Yeah, I know the last five times you've done this has been great, but are you sure?' And I think what we're trying to do is find appropriate downside protection, own infrastructure, own picks and shovels that support this AI transformation. Invest in some of these very innovative areas, but do it all through the lens that this may change. Token costs may come down dramatically. People may not want to use frontier models to do very basic things. We could see regulatory environment change dramatically depending on elections. I think you just have to wake up, then obviously you can sell some of your stabilized assets to derisk yourself. So, I agree with you. If you sort of blindly fall in love and just say this is going to keep going, you could go too far. But I don't think that's the nature of who we are.
Edge 19:38 ↗
How do you do disagreement where you don't burn bridges and people are willing to take risk?
Jonathan Gray 19:42 ↗
Well, it's hard. You know, it's funny. I always think about myself as a bit conflict averse and I'm in this high conflict business, right? But I think there's a way you can be, you know, hard on issues, soft on people. John Schreiber, who you know, who helped co-found the real estate business at Blackstone, had that way about him. And it's, look, you're talking about the intellectual discussion. Should we buy the company that makes this glass of water? You know, what are the pros and cons? It's not about you personally. It's about getting to the right answer. And I think if done in the right way, then people don't take it personally. It can sometimes get a bit heated, right? People care passionately. There's a lot at stake. But if everybody knows it's being done with intellectual rigor, with the true north, we've got to produce high returns. We've got to do things that make sense risk adjusted wise. And if you're intellectually open because even myself, I might come into the room with a very negative view on something but others can convince me. So if you come at it with a spirit of openness and you're respectful of other people, I think you can have real debate. But it is hard.
Edge 20:57 ↗
Are there specific things you've learned to do in those investment committee meetings to make sure you are hearing all the players in the orchestra and they all feel they can?

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APA

Gray, J. (2026, August 27). Blackstone's Jon Gray on Big Bets, AI, & Staying Skeptical | The CEO Signal [Interview transcript]. Semafor and Blackstone. CEOInterviews.AI. https://ceointerviews.ai/interview/2918223/

MLA

Jonathan Gray. "Blackstone's Jon Gray on Big Bets, AI, & Staying Skeptical | The CEO Signal." Semafor and Blackstone, 27 Aug. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/2918223/.

BibTeX
@misc{gray2026_2918223,
  author       = {Jonathan Gray},
  title        = {Blackstone's Jon Gray on Big Bets, AI, \& Staying Skeptical | The CEO Signal},
  howpublished = {Interview transcript, Semafor and Blackstone. CEOInterviews.AI},
  year         = {2026},
  month        = {aug},
  url          = {https://ceointerviews.ai/interview/2918223/},
  note         = {Speaker-attributed transcript with timestamps}
}