The AI Boom's Physical Footprint

The AI boom is easy to measure in dollars raised and models shipped. It is harder to see where it physically lands. A new report from the real-estate platform VTS offers one answer, and it is striking. AI companies now account for nearly half of all the office space that America’s tech firms are chasing.

VTS tracks live, forward-looking leasing pipelines rather than deals already signed, which makes its data an early signal. Across the 17 US markets it follows, AI tenants make up 34% of active tech requirements, but 46% of the square footage. National AI office demand is up 85% year over year, and up 179% in the biggest AI hubs.

One caveat worth stating up front: VTS sells software to landlords, so this is not a neutral academic study. But the platform handles more than 60% of Class A office space in the US, so the pipeline it sees is real.

Where the Money Lands

The capital behind this is staggering. VTS points to the first quarter of 2026 as the largest AI funding quarter in history, with global private investment of $226 billion. OpenAI alone raised $122 billion, at a valuation of around $850 billion. Anthropic and xAI added tens of billions more. That money is now turning into desks.

AI tenants are also taking bigger spaces. The average AI requirement is about 37,000 square feet, some 37% larger than the typical tech deal. The enterprise tier of leases above 50,000 square feet is back, after three years of shrinking tech renewals. AI firms are committing to serious footprints early, before most have turned a profit.

Three Cities, One Street

The demand is not spreading out. It is piling up. San Francisco, Silicon Valley, and New York together hold 63% of all active AI square footage. San Francisco alone accounts for 5 million square feet, nearly a third of the national total.

Zoom in further and the concentration gets almost comic. A single San Francisco submarket, the SoMa and Mission Bay corridor, holds a quarter of all active AI office demand in the entire country. This is where the foundation-model labs cluster. The report notes Sierra, the agentic-AI startup co-founded by OpenAI chairman Bret Taylor, is set to take about 300,000 square feet at one building, while OpenAI and Anthropic keep expanding nearby.

New York tells a different story. Its tenants lean towards application-layer and infrastructure firms serving banks and law firms. The standout deal came from Nscale, an AI cloud company, which signed for space at One Vanderbilt at $320 per square foot. VTS says that is the highest office rent Manhattan has ever seen. Silicon Valley, meanwhile, draws the chip and hardware firms that want to sit near the semiconductor supply chain.

The New Map of AI

Beyond the big three, a fresh geography is forming. Seattle is the fastest-growing market VTS tracks, with AI demand up 390% in a year, drawn by the city’s engineering talent. Northern Virginia is up 169%, on the back of defence and government work. Austin, Chicago, and Atlanta are all climbing, on the strength of enterprise adoption rather than AI-native labs.

Washington, DC is its own case. In several of its submarkets, AI accounts for more than 80% of all active tech demand. That is not chatbots. It is defence and intelligence work, from firms like Anduril, Shield AI, and Palantir, and it answers to the Pentagon budget rather than to venture capital. Two big names sit out the story entirely: Los Angeles and Boston, where AI demand is actually falling.

Is This 2022 All Over Again?

The obvious worry is a repeat of the last tech bust. In 2022, companies over-hired ahead of revenue, then dumped staff and office space when funding dried up. VTS argues this time is different. Today’s leading AI tenants are scaling revenue faster, from a higher base, and many have committed to build-outs that are years from finished. A funding slowdown would cool growth, the firm says, but is unlikely to trigger a 2022-style collapse.

That case is reasonable, but it deserves scepticism, and this is where the bubble question bites. Demand this concentrated is also this exposed. If the capital that props up a handful of labs slows, the streets carrying a quarter of national demand feel it first. The broader office recovery remains patchy, and the wave leans heavily on a few names raising sums with little profit beneath them.

To understand the risk, consider the history of tech real estate cycles. During the dot-com boom of the late 1990s, San Francisco’s South of Market area saw a similar frenzy of leasing by internet startups. When the bubble burst in 2000, vacancy rates soared and rents collapsed, leaving landlords and lenders exposed. The pattern repeated in the 2022 correction, though on a smaller scale. Today’s AI-driven demand shares characteristics with those prior booms: rapid capital inflows, speculative expansion, and a narrow geographic focus. However, the underlying revenue growth of leading AI firms is arguably more robust than the ad-supported models of the dot-com era. Companies like OpenAI and Anthropic are generating significant revenue from enterprise subscriptions and API sales, providing a buffer against a sudden downturn.

Why It Matters

The real value of the report is what it says about hidden signals. Citywide vacancy figures still look soft, which tempts landlords to price space to the average. VTS’s point is that the average is a mirage. In a few corridors, concentrated AI demand is quietly tightening supply, while most of the market sees nothing.

There is a forward signal too. In past cycles, law and consulting firms followed the tech industry into new space with roughly a year’s lag. In San Francisco, professional-services demand is already up 33%, an early hint that the spillover is starting. Legal demand, by contrast, is down sharply, which may reflect AI eating into that work in real time.

Where AI plants its desks, in other words, is a map of where it thinks it is going, and it draws that map a year before the rest of the economy catches up. Right now, that map points at a very small number of streets.

Additional context: the VTS report underscores the bifurcation of the office market. While downtown San Francisco still struggles with high vacancy rates from the pandemic-era remote work shift, the submarkets favored by AI companies are experiencing a mini-landlord boom. Landlords with properties in SoMa or Midtown South in New York are able to command premium rents and negotiate shorter lease terms. This creates a two-tier market where the fortunes of office real estate are increasingly tied to the valuation of AI startups. Investors and city planners should watch these trends closely, as the concentration of demand also means that any hiccup in AI funding could have outsized effects on those specific neighborhoods.

Furthermore, the type of space AI companies seek differs from traditional tech. They require high-density floor plates, robust power and cooling infrastructure for servers, and flexible layouts for collaboration. Some are even retrofitting older buildings to meet these needs, which drives up construction costs and timelines. This is a positive signal for the construction sector, but it also means that the supply of suitable space is constrained, pushing up rents further.

The long-term implications extend beyond real estate. If AI companies consolidate in a few urban cores, it could exacerbate regional inequality, as seen in the concentration of venture capital and talent in San Francisco and New York. Smaller cities may struggle to attract AI firms despite lower costs, because the ecosystem of investors, engineers, and research institutions remains tightly clustered. However, the rise of remote work could eventually disperse some of this demand if companies decide that the premium for physical presence is no longer worth it. For now, the data shows that AI firms are betting that proximity matters.

In summary, the VTS report provides a granular look at how the AI industry is reshaping the office market. The headline numbers are stark: AI tenants now drive half of tech leasing activity, and the geography is hyper-concentrated. While the parallels to past booms warrant caution, the revenue fundamentals and long lease commitments offer some protection. The next few quarters will reveal whether this is the foundation of a sustained recovery or the peak of a speculative cycle.

Source: TNW | Anthropic News