The conventional story about tech wealth is that it spreads. A company goes public, employees scatter, secondary cities benefit, and the money radiates outward.
Tech IPO fortunes keep landing in the same zip codes, with the AI boom expected to pack 12,000 new millionaires into San Francisco alone
Smith Collection / Gado / Getty Images
The conventional story about tech wealth is that it spreads. A company goes public, employees scatter, secondary cities benefit, and the money radiates outward.
Three decades of data tell the opposite story. IPO-driven wealth pulls money, talent, and services into a tighter and tighter footprint, and each cycle narrows the geography further.
The next wave is already arriving. SpaceX's IPO earlier this year sent billions to employees based in the Bay Area, and OpenAI and Anthropic are expected to follow, together creating about 12,000 new millionaires concentrated almost entirely in San Francisco.
Every previous wave of tech IPO wealth has concentrated in the same few cities rather than diffusing outward. The AI wave, which is larger than any of its predecessors, is following the same path.
Between 2005 and 2017, five cities absorbed more than nine-tenths of all new innovation-sector jobs in the United States, according to a Brookings Institution report produced with the Information Technology and Innovation Foundation. Boston, San Francisco, San Jose, Seattle, and San Diego captured nearly all of the growth while the rest of the country's tech sector barely expanded.
The funding pipeline reinforces the same pattern. In Q2 2025, major hubs accounted for roughly three-quarters of all venture funding even though they hosted only about half the deals, according to the PitchBook-NVCA Venture Monitor. The Bay Area's share has only grown sharper in the AI era. The region's portion of domestic venture investment jumped from 55% in 2025 to more than 80% in the first quarter of 2026, with OpenAI's single $122 billion round representing 45% of the entire national total by itself.
Economist Enrico Moretti of UC Berkeley has studied the mechanics behind this pull. His research, presented in The New Geography of Jobs, found that every new innovation job in a city generates five additional jobs in the same metro area, two professional and three in local services. High-tech employment creates three times more local service work than traditional manufacturing. The effect is self-reinforcing. Places that already have educated workers and innovative companies draw more of each, and the gap between winning cities and everyone else widens with every cycle.
AI firms are physically concentrating in San Francisco at the fastest pace in years. They leased more than 800,000 square feet of office space in the first half of 2025, three-quarters of it through new leases rather than renewals, according to CBRE data, as reported by Bisnow. Tenants occupied more new space in Q2 than in any quarter since 2018, and another 39 AI companies were actively searching for space totaling 1.4 million square feet, roughly 1 million of which represented expansion rather than relocation, Colin Yasukochi, executive director of CBRE's Tech Insights Center, said. "San Francisco and Silicon Valley remain the epicenter of the AI boom," Yasukochi added in a May 2026 CBRE report, "and that leadership is translating directly into office demand."
The concentration is happening despite a remote work shift that was supposed to break the cycle. San Francisco's office vacancy climbed past 36% during the pandemic, and tech workers scattered across the country. Remote work has since stabilized at about 21% of paid workdays, according to a Stanford and Federal Reserve Bank of Atlanta survey released in March 2025, with only 12% of executives planning any further return-to-office mandate. Hybrid work is durable, but it hasn't dislodged the physical clustering of AI companies.
Even the broader tech-job dispersal that began during the pandemic may not extend to AI. A 2023 Brookings analysis found that generative AI job postings remained heavily concentrated, with a quarter posted in the Bay Area and 60% clustered in just 20 metro areas.
Thousands of AI workers are arriving in a city that has struggled to support the demand before. Previous tech booms have driven up home prices within months of each hiring surge. During the dot-com boom, a 10% rise in local tech company valuations pushed Bay Area home prices up 1% to 2% over the next two years, the Federal Reserve Bank of San Francisco found. Swings in tech stock prices explained roughly 30% of the variation in the region's home prices two years out.
The pattern survived the bust. Between 2000 and 2004, more than 140,000 high-tech jobs disappeared from Silicon Valley, according to the Bureau of Labor Statistics. But the region held its core talent and industry strengths. By 2008, high-tech workers in the Valley were earning 61% more than their peers elsewhere in the country, and six of 11 high-tech industries had increased their local employment concentration since 2001.
The inequality embedded in this cycle is now visible in the data. Bay Area families in the lowest income brackets earn more in absolute terms than similar families elsewhere in the state, but they fall further behind their own neighbors, according to the Public Policy Institute of California. Income inequality in Santa Clara and San Mateo counties, measured in fixed dollar terms, also climbed 44% between 2010 and 2023, the 2025 Silicon Valley Index shows. The top 10% of households now hold 71% of the region's wealth, up from 70% the year before. The bottom half holds 1%.
San Francisco tried and failed to tax its way into a fix. In 2019, the city tabled a proposed tax on stock-based compensation that would have raised the rate on that form of pay from 0.38% to 1.5%. The city's Office of Economic Analysis had estimated it would generate $50 million to $150 million per year for affordable housing, family programs, and small business stabilization. A separate "overpaid CEO tax" passed in 2020. A California billionaire tax initiative is being prepared for the 2026 ballot.
The track record for local tax fixes isn't encouraging. Cities have spent decades offering tax breaks to draw jobs into struggling neighborhoods, and most of those efforts have failed, according to a National Bureau of Economic Research review of the research. A 2017 federal tax break that was supposed to pull investment into low-income areas hasn't generated meaningful job growth, either.
One program offers a partial counterpoint. Tulsa Remote, which pays remote workers to relocate, generated $4.31 in local economic benefits for every dollar spent, according to a study cited by Bloomberg in May 2025. But programs like Tulsa Remote move hundreds of workers, and the AI IPO cycle is about to move billions of dollars into a few zip codes.
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