For thirteen consecutive years, the San Francisco Bay Area held a title nobody seriously expected to change hands: the largest tech talent workforce in North America. That streak ended this month. According to CBRE's 2026 Scoring Tech Talent report, released this week, New York's metro area now counts 394,300 tech workers against the Bay Area's 375,730, a genuine, if narrow, reversal of a hierarchy that had stood since CBRE began tracking the data thirteen years ago.

The Numbers Behind a Symbolic Shift

The gap itself is not enormous, roughly 18,570 workers separating the two markets, but the trajectory behind it is stark. New York's tech workforce grew by more than 30,640 jobs between 2022 and 2025, an increase of over 8 percent. The Bay Area's tech workforce shrank by nearly 23,900 jobs over the identical period, a contraction of about 6 percent. That is not two markets converging gradually. It is one region actively adding jobs while its longtime rival actively sheds them, on parallel timelines, over the same three years.

Colin Yasukochi, executive director of CBRE's Tech Insights Center, offered the explanation in the plainest terms available: "The story there is that there's been cuts in the Bay Area, so the tech industry has contracted the size of the tech talent workforce, and the finance sector [in New York] has hired a lot of tech talent and a lot of AI workers." That is two separate labor market stories running in opposite directions, not a single trend playing out unevenly across two cities.

Where the Real Jobs Actually Went

The most revealing figure in the entire report sits outside the New York-versus-San Francisco framing entirely. Since 2022, the finance, insurance, and real estate sector added 90,530 tech jobs across the United States, while the traditional high-tech industry itself cut 21,262 positions over the identical period. That is the actual structural shift CBRE's data captures: technology employment broadly is migrating out of companies that call themselves tech companies and into banks, insurers, and financial firms that have simply started hiring the same kind of engineers under a different roof.

New York is the biggest beneficiary of that migration because Wall Street sits there. A bank in Midtown Manhattan hiring a machine learning engineer this month is competing directly, on salary and on scope of work, with an AI startup in San Francisco hiring for the identical role, and increasingly winning that competition simply because the bank isn't simultaneously running layoffs to fund a separate AI infrastructure buildout. According to CBRE's broader analysis, AI-specific roles made up 31 percent of all US tech talent job listings in June 2026, up from just 11 percent at the mid-2022 hiring peak, a genuine tripling of the category's share of the market in under four years.

Why San Francisco Still Isn't the Loser Here

Losing the headcount crown is not the same as losing relevance, and CBRE's own methodology makes that distinction explicit. The Bay Area held onto the number one overall spot on CBRE's weighted Tech Talent Scorecard, scoring 81.98 against Seattle's 74.37 and New York's considerably lower 70.38, a ranking that factors in talent concentration, workforce quality, and R&D investment rather than raw job counts alone. Tech talent still makes up 10.7 percent of all Bay Area workers, nearly double the 5.5 percent average across the 50 North American markets CBRE studied, and dramatically higher than New York's own concentration.

The AI-specific numbers make the split even clearer. San Francisco remains the single largest individual market for AI workers in North America, with 98,699 AI employees compared to New York metro's 67,949, according to CNBC's reporting on the data. San Francisco AI companies accounted for 58 percent of all regional office leasing activity in the first half of 2026 alone, and have leased roughly 10 million square feet of office space since 2023, representing about 30 percent of all Bay Area leasing over that period. The Bay Area did not lose the AI race. It lost the broader tech employment race specifically because it is shedding non-AI tech jobs faster than its AI hiring boom can offset them.

The Real Estate Signal Nobody Should Miss

That office leasing figure is worth sitting with for a moment, because it reveals something the pure employment numbers do not. AI companies snapping up roughly 10 million square feet of San Francisco office space since 2023, even as the broader Bay Area tech workforce contracts by 6 percent, mirrors a pattern playing out in physical infrastructure investment elsewhere in the AI industry, where companies are committing enormous capital to physical footprint even while overall headcount in adjacent, non-AI roles shrinks. Apple's own new manufacturing center in Houston reflects a similar dynamic on the hardware side: targeted, capital-intensive investment concentrated in a narrow category, even as the broader employment picture around it tells a more mixed story.

What This Means for the AI Industry's Center of Gravity

This shift arrives at a genuinely consequential moment for the companies driving the AI boom specifically. Anthropic is reportedly targeting a valuation of $2 trillion or more for an October initial public offering, a listing that would represent one of the largest in market history and would be built substantially on continued access to the concentrated AI engineering talent the Bay Area still leads on by CBRE's own weighted scoring. If AI-specific talent remains genuinely concentrated in San Francisco even as broader tech employment shifts eastward, the practical result for companies like Anthropic and OpenAI may be less about relocating operations and more about competing even harder for a talent pool that is not actually growing as fast, in relative terms, as the industry's capital commitments are.

New York, Toronto, and Vancouver's growing AI presence complicates that picture somewhat. San Francisco, New York, Seattle, and Washington together now account for 37 percent of all US AI employment, according to CBRE's figures, meaning the talent pool AI companies actually draw from has become genuinely multi-regional even as San Francisco retains its individual lead. Companies hiring across all four hubs simultaneously face a coordination challenge that a single dominant hub never required.

The Uncomfortable Question This Raises for Employers

There is a broader implication buried in these numbers that connects directly to a separate finding published this month: a survey of 1,000 executives found that 91 percent do not fully understand their own organization's dependencies on AI vendors, models, and infrastructure. A workforce shift of this magnitude, tech talent flowing out of dedicated technology companies and into finance and other traditionally non-tech sectors, adds a parallel layer of risk that survey did not directly measure: institutional knowledge about how AI systems actually work increasingly sits inside companies whose core business is not technology at all. A bank that has hired hundreds of AI engineers over the past three years is now managing a genuinely technical capability inside an organization built around entirely different risk management disciplines, regulatory requirements, and institutional priorities than a purpose-built AI company would apply to the same work.

What Happens From Here

CBRE's own forward-looking assessment, delivered through Yasukochi, expects the Bay Area to remain "the central location for the AI industry and for innovation" even having lost the pure headcount lead, a reasonable read given its dominant weighted score and its outsized share of the highest-value AI-specific roles. What the report does not resolve is whether this represents a temporary divergence, driven by a Bay Area layoff cycle that could eventually reverse, or a genuine structural rewiring of where technology work actually happens in America, one where the meaningful distinction stops being which city hosts the most tech workers and becomes which sectors, finance, healthcare, retail, manufacturing, absorb the most AI talent as the technology diffuses well beyond the companies that originally built it.