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Two-thirds of construction professionals globally now use AI in some form—but only 19% do so regularly, while nearly half remain out of compliance with RICS's mandatory responsible-AI standard that took effect in March 2026.
AI is accelerating office vacancy while driving the largest data center construction boom in 30 years — a violent reallocation of capital within commercial real estate that CBRE CEO Bob Sulentic compares to the 1990s outsourcing wave.
The Real Deal's June 2026 cover investigation finds leading CRE firms running leaner teams and faster deals, while mid-market brokerages face a widening AI adoption gap worth $34 billion by 2030.
U.S. data center construction hit $50 billion in April 2026 — 28% above last year and the first time on record that AI infrastructure spending outpaced transportation. AI has crossed from sector trend to macroeconomic force.
An Oaklandside investigation documents how AI firm expansion is driving rent increases and displacing small businesses, with AI companies already occupying 17 million square feet across the Bay Area.
Early adopters of AI-managed commercial buildings are reporting 20-30% energy savings, while AI tools reshape construction from pre-design cost modeling to permitting to long-term building operations.
Digital Realty signed its largest single lease ever — 200 megawatts in Charlotte driven by AI demand — and raised full-year 2026 revenue guidance to $6.65–$6.75 billion, confirming AI infrastructure as the dominant force reshaping commercial real estate.
The world's largest commercial real estate firm didn't set out to become an AI infrastructure gatekeeper. The data center boom didn't give it a choice.
Venture capital poured $1.7 billion into AI-focused PropTech in January 2026 alone — a 176% surge — as agentic AI moves from pilots to operational platforms across property management and commercial real estate.
Industrial real estate is capturing AI's biggest gains while residential markets stall. New JLL data shows 61% of institutional investors now use AI for market analysis — nearly triple the 2023 rate.
New research estimates AI productivity gains could expand US commercial real estate demand by 12% — but the outcome depends entirely on whether AI grows economic activity or concentrates it among fewer workers.
Consumer trust in AI to assist with homebuying has collapsed from 30% to 16% in a single year, even as AI becomes more embedded in the real estate transaction.
Commercial buildings can detect energy waste and equipment failures with AI, but most lack automated controls to act on those signals — a gap eroding the ROI case for smart building deployments.
AI-powered building management is producing 20–30% energy savings in commercial properties, and buildings are beginning to connect into city-scale intelligence networks that create new revenue streams for property owners.
Data center developers lead AI adoption in real estate by roughly 18 months — with a structural irony: the asset class powering AI for every other industry is also the leading edge of AI deployment in real estate.
A Redfin survey finds nearly half of U.S. residents oppose AI data center construction near their homes, with some projects already abandoned or relocated — creating a geographic constraint on the AI buildout that rivals power availability.
AI has compressed real estate site screening from weeks to hours—but adoption is uneven by asset class. Industrial and commercial developers are ahead; residential and hospitality remain significantly behind.
Parcels near high-voltage substations and fiber networks — dubbed 'Powered Land' — now command premiums that rival urban cores as AI data center demand rewrites commercial real estate value.