Since 2015, Blackstone has been building the capabilities needed to capture the AI opportunity. Our Chairman, CEO and Co-Founder Steve Schwarzman recognized AI’s potential early on and made founding donations to Oxford and MIT to create centers devoted to its study. Within the firm, our 50-plus person data science team has developed AI technology that aims to position Blackstone at the forefront of our industry. Hear more from Steve and Blackstone President Jon Gray.
All AI relies on data – a resource that Blackstone, as the world’s largest alternative asset manager, has in abundance. The volume of private market data in our portfolio equips us to spot trends early and invest when we have conviction.
“AI is going to dramatically change the ways we live and work. As a firm, we’re devoting enormous resources to capturing this opportunity – both to protect investors’ capital and generate higher returns.”
– Jon Gray
Blackstone President and Chief Operating Officer
In the News on AI
“Part of Everyone’s Life”
August 04, 2023
Blackstone Chairman, CEO and Co-Founder Steve Schwarzman discusses why AI is “one of the most exciting developments of a lifetime” and how Blackstone is preparing for the changes it will unleash across the economy.
Blackstone Has Been Focusing on AI
June 30, 2023
Blackstone Chief Financial Officer Michael Chae shares why we believe AI will further the advantages of private market investing.
Blackstone Is Using AI to Control Diabetes and Slash Spending on Drugs
April 17, 2023
Andreas Mang, CEO of Blackstone’s Equity Healthcare, explains how we’re using an AI-powered app designed by startup Twin Health to help portfolio company employees manage diabetes without the use of expensive drugs.
Investing in AI-enablement
We’re investing not only in companies that harness AI, but also in the businesses that enable it.
Spotlight on Data Centers
More data has been created in the past three years than in all of human history combined, driven by cloud adoption, content creation and now AI.1 All this data needs a place to live, creating demand for data centers and opportunity for Blackstone to invest at scale.
Building Strong Businesses with AI
Our team of more than 50 data scientists works closely with Blackstone portfolio companies on AI strategy and integration, delivering an estimated $100 million of bottom line impact.2 Portfolio companies can also access our Blackstone Data Science Community and wider network of CEOs, researchers and senior advisors.
Infrastructure & Private Equity
Update from Jon Gray: Investing Before the All-Clear
Blackstone President Jon Gray discusses today’s dealmaking environment, competition in the age of artificial intelligence and more.
Joe Zidle: A Real-World Investment in the Age of AI
Joe Zidle, Chief Investment Strategist in the Private Wealth Solutions group, shares his views on the AI opportunity and whether or not the surge in AI-related stocks indicates a market bubble.
Q&A: Greg Blank and Mike Forman on the Explosive Demand for Data Centers
We sat down with Greg Blank, Senior Managing Director, Blackstone Infrastructure Partners, and Mike Forman, Managing Director, Blackstone Real Estate, to learn more about QTS and why the outlook for data centers is so promising.
Note: All figures as of June 30, 2023, unless otherwise indicated.
- IDC, as of December 31, 2021. 2021 and 2022 represent year-end estimates.
- “Bottom line impact” refers to EBIDTA impact, which is determined by: (i) identifying operational key performance indicators (KPIs) that may benefit from AI, (ii) measuring those KPIs both before and after the implementation of the AI model, and (iii) translating the impact on relevant KPIs to EBITDA. Methodologies for calculating EBIDTA impact vary based on the facts and circumstances associated with participating portfolio companies and are subject to limitations including the amount, nature and quality of available data. While the implementation of AI correlates with an increase in EBITDA among the portfolio companies included, there can be no assurance that such EBITDA increase was not caused by other factors in addition to or in spite of implementation of AI programs.
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