Investing in AI

Artificial intelligence is transforming the ways we live and work. At Blackstone, we’re investing across the AI ecosystem and deploying AI tools to build stronger businesses.

a generational Investment opportunity

Investing across the ai value chain

Fueling enterprise growth

Vectra

Ontra

Building Strong Businesses with AI

AI Generic

Link Logistics

Link Logistics operates the largest portfolio of US-only industrial real estate, giving it access to a wealth of internal rent data and scale across markets. We partnered with the company in its development of a machine learning model that leverages over 2 billion data points across the Link portfolio to track unique asset-level attributes, leasing trends, market fundamentals and proximity to key demand drivers to help identify the right buildings in the right locations that are experiencing the strongest tenant demand.

Signature Aviation

We partnered with Signature Aviation to develop a machine learning model that helps field leaders align schedules with dynamically forecasted demand. This has helped enhance customer experience by preventing understaffing on peak days while improving the company’s operational performance.

News & Insights

Blackstone in the News on AI

WSJ: Data-Center Owners Get an Edge Over Big Tech Tenants

Record low vacancy rates coupled with increased demand for space is creating tailwinds for data center operators across the country.

WSJ: How Wall Street Lenders Are Betting Big on the AI Boom

Explosive growth in AI requires significant capital. Blackstone is proud to expand its existing partnership with CoreWeave, investing behind some of its highest conviction themes, AI and digital infrastructure.

WSJ: AI’s Unlikely Benefactor

The Wall Street Journal dives into Blackstone Chairman, CEO and Co-Founder, Steve Schwarzman’s foresight on AI – from a bus ride in Beijing to one of today’s unlikely champions.

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IDC, as of December 31, 2021. 2021 and 2022 represent year-end estimates.
International Data Corporation (IDC), as of May 2024. 2024 and 2025 represent year-end estimates.
datacenterHawk, as of December 31, 2024. Reflects gross absorption of the trailing twelve-month periods as of the dates indicated.
EIA, as of November 2024 and NREL as of August 2022. Reflects total net electricity generation. Figures for 2024 and beyond reflect estimates.
As of June 30, 2024. “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.