A tidal wave of corporate cash chasing artificial intelligence projects is making it tougher to build basic housing in New York, according to one of the city’s most influential developers.
Scott Rechler, chairman and CEO of RXR, warned this week that heavy AI spending is pushing up interest rates and pulling capital away from apartment projects, making new homes harder to finance in an already brutal market. He argued that the sheer size of the AI buildout is warping credit markets and changing which developments can realistically get done, just as investors and policymakers are trying to figure out how the tech infrastructure boom will rewire capital flows.
Rechler’s comments, published May 7, were blunt: “AI overinvestment is driving up interest rates and crowding out housing,” he said, as reported by Crain's New York Business. Coming from the head of one of New York’s largest development firms, the warning adds a new twist to the question of why housing finance remains so tight even as demand keeps outstripping supply. Rechler cast it as a straight-up fight over debt, equity and construction capacity.
AI Spending Is Enormous
Industry research suggests the numbers are eye-popping. Analysts have pegged big tech’s AI-related capital plans for 2026 at roughly $650 billion, focused on data centers, chips and other hard infrastructure. That much concentrated borrowing and construction activity can influence demand for bonds, loans and building materials, which in turn can raise the cost of capital for everything else, including housing. The tally was reported by Bloomberg.
Analysts Flag A Crowding-Out Risk
Market advisers are sounding similar notes. Chatham Financial has estimated that 2026 AI capital spending could climb above $830 billion, a level that would represent a meaningful slice of the investment-grade and leveraged-loan markets and could lift borrowing costs for other issuers. If asset managers and lenders lean more heavily into hyperscale tech borrowers, smaller or regional projects, including residential developments, may find themselves facing tougher terms or higher yields. Global Finance Magazine summarized Chatham’s estimate and the potential “crowding-out” effect.
Fed Sees Policy Tradeoffs
Policymakers are watching the same trend from a different angle. Federal Reserve Governor Lisa Cook has cautioned that an AI investment surge “may raise the neutral rate of interest in the short run,” which could force monetary policy to stay tighter even if longer-run productivity gains eventually show up. In remarks to an economics conference, she framed the AI wave as one reason the Fed has to juggle tensions between inflation control and employment. Her comments were reported by Reuters.
What It Means For New York
In New York’s dense, high-cost market, even small bumps in interest rates or construction financing can make or break a project’s feasibility. Economists and industry watchers point to rising data-center demand and added strain on utilities as examples of how the AI boom can go head-to-head with local development needs, a tension explored in reporting by Fortune. If capital continues to tilt toward hyperscale infrastructure, developers warn that New York could see fewer new housing units and longer waits for buyers and renters who are already battling a tight market.
What to watch next: how much hyperscalers signal in upcoming capex disclosures, what the Federal Reserve hints in its next rounds of guidance, and whether local permits and financing data start to show a slowdown in housing starts. For now, Rechler’s warning puts a spotlight on the geography of money, not just zoning rules or policy debates, as a quiet but powerful force shaping what actually gets built in the city.
