Cushman & Wakefield’s AI Impact Barometer Shows 20% Higher Warehouse Power, Strong Data Center Demand
Cushman & Wakefield introduced the AI Impact Barometer, the first model quantifying AI adoption’s effects on the built environment. It calculates AI momentum scores from economic, market and property data, revealing data center pre-commitments, distribution centers with 20% more electrical supply per square foot and widening office leasing gaps.
1. Launch of AI Impact Barometer
Cushman & Wakefield unveiled the AI Impact Barometer to provide investors, occupiers and developers with a data-driven view of how AI adoption is reshaping demand across the built environment. This marks the first industry-wide model designed to translate AI momentum into actionable insights for commercial real estate stakeholders.
2. Methodology and Scoring
The barometer aggregates economic, market and property indicators into clear themes—AI adoption, capital investment, labor shifts and infrastructure demand—and distills them into AI momentum scores. These scores measure both the direction and intensity of AI’s influence on different asset classes and markets.
3. Early Insights across Asset Classes
Pre-commitment rates for AI-driven data center projects continue to trend upward even as investment surges. Distribution centers constructed since 2020 are delivering over 20% more electrical supply per square foot, positioning them for accelerated automation-led leasing. Meanwhile, prime office properties in tech hubs are seeing improved leasing and investment, while lower-grade spaces face rising obsolescence risk.
4. Ongoing Updates and Client Engagement
The AI Impact Barometer is the first phase of a broader initiative that will include regular model updates and additional research through 2026. Cushman & Wakefield will host a webinar on February 23 to walk clients through the barometer’s methodology and early findings, with more thought leadership to follow.