New York Overtakes Bay Area as Top Tech Talent Market

For the first time in the 13 years CBRE has run its Scoring Tech Talent report, the San Francisco Bay Area is not on top. In the analysis published August 21, 2026, New York ranked as North America’s largest tech-talent market, with 394,300 tech workers to the Bay Area’s 375,730 — a lead of just under 19,000 jobs, but a symbolic reversal of a hierarchy that has held since the smartphone era began.

The shift is being driven by two forces pulling in opposite directions: layoffs of non-AI tech workers in the Bay Area, and AI- and finance-driven hiring in New York. It is less a story of San Francisco collapsing than of New York broadening what “tech talent” means.

The numbers behind the crossover

CBRE’s ranking counts tech-occupation employment across a metro, not just headcount at tech companies — a distinction that matters here. Under that definition, New York gained 30,640 tech workers from 2022 through 2025, while the Bay Area lost 23,900 over the same window. That roughly 54,000-job swing is what closed a gap that used to look permanent.

The composition of New York’s gains is the tell. Much of the growth came not from software firms but from finance: banks, asset managers, insurers, and trading shops staffing up engineering, data, and machine-learning teams. One tally of the underlying data put the finance sector’s tech hiring at roughly 90,530 added jobs since 2022, even as the pure-play technology industry cut headcount over the same stretch. In other words, New York is winning the tech-talent count by absorbing engineers into non-tech industries faster than San Francisco is shedding them from tech ones.

AI is the engine — but the Bay Area still owns it

The AI labor market is where the picture gets more complicated. CBRE found that the ranks of U.S. and Canadian workers with AI skills grew 45% in the past year, and both metros participated: San Francisco and New York each added more than 20,000 AI jobs since mid-2025.

Crucially, though, San Francisco remains the single largest market for AI-specific workers in North America. The Bay Area lost its overall crown while keeping the more strategically valuable one — the concentration of researchers and engineers building frontier models sits, still, around San Francisco. New York leads on breadth; the Bay Area leads on the specific, high-value slice everyone is competing for.

That distinction runs through the whole 2026 tech economy, where the money and the talent have consolidated around AI even as the broader industry contracts. It is the same bifurcation visible in the rotation between AI-hardware and software stocks and in Google’s own read of an AI-driven economy: a small set of AI winners expanding while the layers around them shrink.

Why New York, why now

Several structural forces are converging on Manhattan at once.

The first is capital. New York’s financial industry is both a buyer of AI and an employer of the people who build it, and Wall Street’s appetite for engineering talent has grown as trading, risk, and research functions absorb machine learning. The AI boom has also made New York a natural venue for the sector’s public-market ambitions — the backdrop against which Anthropic filed confidentially for an IPO earlier this year.

The second is cost and lifestyle rebalancing. Years of remote and hybrid work loosened the Bay Area’s grip on where engineers must live, and New York’s density of adjacent industries — media, finance, advertising, healthcare — gives a laid-off tech worker more places to land without leaving the metro.

The third is infrastructure friction elsewhere. The Bay Area’s growth has been constrained by cost and by the same power-and-land bottlenecks now shaping where AI capacity gets built. New York has its own limits — the state moved toward a moratorium on new hyperscale data centers — but the tech-talent count measures where people work, not where the servers sit, and on that metric the city is pulling ahead.

There is also a base-rate effect worth naming. New York is simply a larger labor market than the Bay Area across every industry, so as software skills diffuse into finance, media, and healthcare, a bigger denominator translates mechanically into a bigger tech-occupation count. The Bay Area’s economy is more tech-concentrated but smaller overall; once engineering stopped being a tech-industry-only profession, the raw arithmetic began to favor the bigger, more diversified metro. That is why the crossover happened now rather than during any single hiring wave — the definition of “tech worker” widened, and the widest labor market benefited most.

Talent also tends to pool where the demand is broadest rather than deepest. A machine-learning engineer in New York can move between a hedge fund, a bank, a media company, and a health system without relocating; the same engineer in the Bay Area has historically had fewer non-tech landing spots when a startup fails or a big tech employer trims. In a year defined by non-AI layoffs, that optionality is a real draw, and it compounds: the more industries hiring engineers in a metro, the stickier its talent base becomes.

The caveats

A first-place finish by 19,000 jobs is a narrow one, and CBRE’s methodology rewards breadth. Because the ranking counts tech occupations across all industries, a metro with a giant non-tech economy — finance, media, government — can climb the table by embedding engineers into those sectors rather than by growing a tech industry per se. New York’s win is real, but it is partly a win of definition: it reflects how thoroughly software has diffused into every business, not a wholesale migration of the tech industry across the country.

It is also a snapshot, not a trend line locked in. The Bay Area’s losses are concentrated in the non-AI roles that the current cycle has made redundant; its AI core is intact and, if anything, densifying. The scale of capital still flowing into model training and the hyperscaler capex boom means the region that owns the AI-talent concentration retains enormous pull. One year’s ranking can flip back.

What it means

CBRE’s crossover is best read as a marker of diffusion, not decline. The headline — New York beats San Francisco — is true and historic, but the mechanism is that software engineering has become a general-purpose skill that finance and other industries now hire in bulk, and New York simply has more of those industries. The Bay Area didn’t lose the future of AI; it lost the count of a labor category that has spread everywhere.

Who wins: New York’s commercial landlords and its finance sector, which get to claim the tech-talent crown and the office demand that follows; and engineers outside the Bay Area, who now have a genuine second hub with comparable depth and more industry variety.

Who feels the pressure: the Bay Area’s non-AI tech workforce, whose roles are the ones being cut, and the region’s civic case for primacy. But the pressure is uneven — the AI researchers and frontier-model engineers who anchor San Francisco are the least exposed workers in the entire market.

What to watch next: whether New York’s finance-driven hiring holds if markets turn; whether the Bay Area’s AI-talent concentration converts its narrower lead into renewed overall growth; and whether a third metro — Seattle, Austin, or Toronto — uses the same diffusion dynamic to climb. The tech map is redrawing around AI, and the center of building it and the center of employing it may no longer be the same place.