Cash-rich AI startups fuel a boom in Manhattan's commercial real estate market; many offices have more vacant desks than workers, as startups prepare to scale
Isabelle Bousquette /Wall Street Journal:
Context & Ripple Effects
The reported Manhattan leasing wave extends a broader AI-driven return of tech demand for physical workspace: CBRE previously found US tech office leasing rising as new AI companies expanded, while Anthropic, OpenAI, and peers have also taken substantial space in London since early 2025.
Related coverage shows the real-estate spillover is not limited to conventional offices. In San Francisco, AI growth has been linked to residential-rent pressure and to founders using large homes as headquarters or hacker houses, underscoring how well-funded companies are securing capacity ahead of staffing needs.
First-order effects
- Manhattan landlords gain a new source of office demand from cash-rich AI startups, including demand for space that is not yet fully occupied.
- The startups commit capital to headquarters capacity before their current headcount requires it, leaving leased offices with substantial unused desk capacity while they plan to hire.
Second-order effects
- AI companies' willingness to lease ahead of growth can tighten the supply of desirable large-office blocks for other tenants, improving landlords' negotiating position in the segments these firms target.
- The cost of scaling an AI company increasingly includes real-estate commitments alongside talent and compute, favoring startups able to finance expansion before revenue or staffing catches up.
Third-order effects
- If preemptive leasing persists across cities, AI's capital concentration will reshape commercial real estate demand around a relatively small set of well-funded firms rather than a broad-based office recovery.
- The pattern also makes local office markets more exposed to AI companies' funding cycles: space absorbed for anticipated growth could remain underused if hiring plans change.
The trend: AI investment is spilling from compute and talent into preemptive physical-capacity bets, with frontier-oriented startups using abundant capital to secure offices before they are fully staffed.