AI Exposure Cities Lead Real Estate Resilience as Markets Diverge
Event summary
- JLL research shows U.S. markets with highest AI-driven job displacement exposure also seeing strongest real estate demand from AI companies.
- San Francisco saw nearly 30% of total leasing from AI companies since 2025 despite high job dislocation risks.
- Office leasing in tech sector rebounded even as overall U.S. tech employment declined by 1.5% in early 2026.
- Over one million AI-related jobs were created between 2023 and 2025, offsetting five percent of job cuts identifying AI as primary driver in 2025.
The big picture
JLL's research challenges the assumption that AI will uniformly compress commercial real estate footprint, revealing deep divergence across markets. The findings highlight that a market's ability to adapt, capitalize on new opportunities, and redeploy workforce is more critical than exposure risk alone. This divergence is reshaping demand across markets, defining four clear trajectories from high negative disruption to AI boom upside.
What we're watching
- Market Adaptation
- How cities' capacity to adapt and redeploy workforce will determine real estate performance beyond exposure risk.
- Industry Restructuring
- Whether sectors like logistics, healthcare, professional services, and data centers can sustain growth through AI-driven models.
- Investment Strategy
- The pace at which investors act on early labor market signals before transaction data confirms trends.
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