Key Takeaways
- • The Urban Land Institute (ULI) and Heitman identify six AI-related investment opportunities beyond data centers, according to the primary source.
- • Emerging uses for existing buildings are highlighted as a potential avenue for AI-linked real estate capital.
- • Near-term demand is flagged for power infrastructure, battery storage, and construction-support properties.
- • The analysis frames AI's real estate footprint as broader than hyperscale data centers, relevant to real estate allocators assessing adjacent exposures.
Summary
A new analysis from the Urban Land Institute (ULI) and Heitman identifies six investment opportunities linked to artificial intelligence that extend beyond data centers, according to the primary source. The source material available for this summary is limited to the article's introductory description, so the specific details of each of the six opportunities are not reported here.
The framing identifies two categories of opportunity. The first is emerging uses for existing buildings, which the analysis presents as a developing area. The second covers more immediate demand drivers, namely power infrastructure, battery storage, and construction-support properties. Together, these point to AI's real estate footprint extending into power and energy-adjacent assets and into the supply chain that supports buildout.
For institutional real estate investors, the analysis suggests that AI-driven demand may reach beyond the data center sector that has drawn most capital to date. Allocators evaluating exposure to the theme may wish to review the full ULI and Heitman report for asset-level detail, return assumptions, and timing.
The framing identifies two categories of opportunity. The first is emerging uses for existing buildings, which the analysis presents as a developing area. The second covers more immediate demand drivers, namely power infrastructure, battery storage, and construction-support properties. Together, these point to AI's real estate footprint extending into power and energy-adjacent assets and into the supply chain that supports buildout.
For institutional real estate investors, the analysis suggests that AI-driven demand may reach beyond the data center sector that has drawn most capital to date. Allocators evaluating exposure to the theme may wish to review the full ULI and Heitman report for asset-level detail, return assumptions, and timing.
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