How Will AI Impact Commercial Real Estate?
Artificial intelligence (AI) represents the latest in a long line of general‑purpose technologies. Like electrification, computing and the internet before it, its economic and built environment impacts will unfold gradually, unevenly and nonlinearly.
Rather than attempting to predict how AI itself will evolve, this research focuses on how firms, sectors and the macroeconomy will respond to AI – and how those responses will translate into CRE fundamentals, including:
- Productivity, growth and interest rates
- Employment trends and space demand
- Vacancy and absorption for major CRE sectors
- Capital markets behavior
- Differentiation in performance across assets and geographies
Why this matters: The future of commercial real estate will depend less on AI’s technical capabilities and more on how productivity gains flow through hiring, revenue growth and capital allocation – dynamics tracked in real time by the AI Impact Barometer.
AI Impact Study
Our approach was to model AI's impact through a chain of transmissions.
Key Takeaways
AI Is a Dispersion Story, Not a Uniform Demand Shock
AI will not affect all real estate equally. Instead, it will widen the distribution of outcomes across markets, property types, asset quality and investment strategies, magnifying both upside and downside outcomes.
Office Real Estate Faces the Widest Range of Outcomes
Because office demand is tightly linked to knowledge-worker employment and space intensity, office markets are the most exposed to scenario-driven variability.
Logistics & Industrial, Retail and Multifamily/Living Are Influenced Indirectly
AI affects these sectors primarily through productivity, income growth, operational efficiency and capital investment, rather than through direct labor displacement.
Timing Matters More Than AI’s Ultimate Potential
Productivity gains often materialize before revenue growth and hiring decisions, leading to delayed translation into CRE demand and extended adjustment periods, especially in office markets.
AI’s Impact Differs Meaningfully by Region
The United States will lead in visible AI-driven impacts, while Europe and Asia Pacific will experience slower, more structurally mediated transmission shaped by labor markets, policy and underlying growth conditions.
AI Scenarios
Four AI Scenarios Shaping the Future of Commercial Real Estate
This paper evaluates four internally consistent AI scenarios embedded within a broader global macroeconomic framework.
AI Impact
Baseline Scenario for Commercial Real Estate
Baseline Scenario: Incremental and Uneven AI Adoption (Highest Probability)
- Gradual AI diffusion across industries
- Productivity gains absorbed through efficiency rather than hiring
- Modest uplift to GDP growth without inflationary response
- Subdued near-term office demand before a later upswing; relative stability in other sectors
Implication: CRE demand recovers unevenly, with prolonged and gradual office adjustment.
Upside Scenario: Productivity-Led Expansion
- Faster AI diffusion and monetization
- Stronger GDP growth, innovation and job creation
- Earlier and more durable demand for high-quality, flexible office space
- Reinforced strength across logistics & industrial, retail and multifamily/living
Implication: AI accelerates a higher-quality, more selective CRE recovery.
Downside Scenario: AI Bust
- Overinvestment followed by financial tightening
- Delayed translation of productivity into demand
- Substantial growth slowdown accompanied by cyclical layoffs
- Prolonged office vacancy and cyclical softness across sectors
Implication: CRE stress is driven by broader financial conditions and timing, not technology failure.
Downside Scenario: AI-Driven Labor Displacement
- Productivity gains realized through labor substitution
- Subdued revenue growth and constrained aggregate demand
- Meaningfully higher unemployment with no effective policy response
- Structurally elevated office vacancy
Implication: Office demand remains impaired, with muted spillovers elsewhere.
TAKEAWAY
AI is more likely to widen the distribution of economic and CRE outcomes than to generate a uniform boom or bust.
Impact on CRE
AI’s Impact on Commercial Real Estate
The influence of artificial intelligence on commercial real estate will not be uniform – across property types or globally. While the analytical framework is consistent, outcomes will differ by region based on adoption speed, labor market flexibility, capital flows and regulation. These forces will shape how AI productivity gains translate into demand across office, logistics & industrial, retail and multifamily/living assets.
Implications of AI for CRE Fundamentals by Asset Type
United States: Innovation‑Led, Market‑Driven Transmission
- Economic structure: The U.S. framework reflects a highly flexible, market‑driven economy with deep capital markets, high AI investment intensity and strong linkages between productivity gains, revenue growth and capital formation.
- Transmission mechanism: AI primarily affects CRE through faster productivity gains in knowledge‑intensive sectors, uneven employment effects and relatively rapid pass‑through to corporate investment and space decisions.
Europe: Regulation‑Moderated, Employment‑Buffered Transmission
- Economic structure: More regulated labor markets, stronger social safety nets and a higher public‑sector footprint moderate both AI‑driven employment displacement and upside volatility.
- Transmission mechanism: Productivity gains materialize more gradually, with slower employment reallocation and weaker short‑term pass‑through to CRE demand.
Asia Pacific: Growth‑Amplified, Investment‑Heavy Transmission
- Economic structure: More heterogeneous economies, with a mix of advanced AI adopters and emerging markets still in earlier stages of technological diffusion.
- Transmission mechanism: AI interacts with structural growth, urbanization and infrastructure investment rather than acting as a stand‑alone demand driver.
Occupiers & Investors
What AI Means for Commercial Real Estate Occupiers and Investors
Implications for Real Estate Occupiers
- AI changes how work is organized, not just how much space is needed
- Prioritize flexibility, optionality and high-quality environments
- Expect uneven demand recovery by sector and location
- Favor assets that support collaboration, technology integration and talent attraction
Implications for Real Estate Investors
- AI increases the importance of asset selection and timing
- Office outcomes are highly scenario-dependent
- Logistics & industrial assets show the strongest cross-scenario resilience
- Retail and multifamily/living remain income-driven, with supply discipline critical
- Capital markets amplify both upside and downside outcomes
The Future
Preparing for the Future
AI will not deliver a single, predictable real estate outcome. Instead, it will introduce greater uncertainty, dispersion and strategic complexity across global markets. In this environment, success will depend less on predicting the future and more on preparing for multiple plausible scenarios.
This white paper provides investors and occupiers with a structured framework to assess risk, uncover opportunity and build resilience as AI transforms the global economy and the built environment.
Read the Full White Paper: AI and Commercial Real Estate: The Next 10 Years.
Regional Insights
To support our white paper, we have developed Regional Insights for each geography, outlining key assumptions, economic scenarios, property-level outcomes, and strategic recommendations.
AI IMPACT HUB
AI’s impact on real estate is unfolding unevenly across sectors, markets, and assets. The AI Impact Hub brings together insights, tools, and real‑time signals to help investors and occupiers understand where change is already happening, and what that means for the decisions ahead.
Learn more
Authors
TURN INSIGHT INTO ACTION
Get tailored guidance on how AI may shape your real estate decisions.
Get in touch SUBSCRIBE TO AI IMPACT INSIGHTS
Get all the essential AI impact analysis and perspectives from our experts as soon as they're released.
Subscribe 