Tech hiring in San Francisco has plateaued since late 2025, with layoffs outpacing new hires despite a national AI boom.University economists and city officials cite a net loss of thousands of positions and stagnant salaries for local workers.
San Francisco’s technology sector reported little change in employment levels during the final quarter of 2025 and the opening weeks of 2026, according to city labor data and industry surveys [1][2]. The slowdown follows a peak in tech employment reached in 2022, after which the number of active tech jobs has declined and now remains well below that high point [1][3]. The trend persisted through October 1, 2025, when a UC Berkeley research brief documented the first measurable contraction in Bay Area tech jobs in more than a decade [4].
University of California, Berkeley economics professor Enrico Moretti highlighted the discrepancy between the AI sector’s rapid investment and the local labor market’s lack of growth [4]. He noted that while AI-related venture capital funding surged by more than 30 percent in 2025, the city’s tech employment numbers fell by an estimated 4,800 positions that year [3][4]. Major firms, including several hyperscale cloud providers, announced layoffs that collectively exceeded new hiring by roughly 12 percent during the same period [2].
Employment Trends and Data
The San Francisco Examiner reported that the city’s tech workforce “has barely budged in recent months,” citing quarterly employment reports released by the California Employment Development Department [1]. The report showed a net loss of 3,200 tech jobs between July and September 2025, followed by a modest gain of 400 positions in the subsequent quarter, leaving overall employment still below 2022 levels [1].
A January 28, 2026 article in the San Francisco Standard confirmed that layoffs at major technology companies outpaced hiring across the Bay Area [2]. The piece cited internal company announcements from three publicly traded firms that eliminated a combined total of 7,500 roles between November 2025 and January 2026, while announcing only 2,200 new positions in the same timeframe [2]. The Standard also referenced a city-wide salary survey indicating that median base compensation for software engineers remained flat at $138,000 year-over-year, despite inflation adjustments [2].
Employment Trends and Data The San Francisco Examiner reported that the city’s tech workforce “has barely budged in recent months,” citing quarterly employment reports released by the California Employment Development Department [1].
Role of the AI Boom
Tech Employment in San Francisco Stagnates as AI Growth Fails to Boost Local Jobs
Industry analysts have documented a surge in AI-related capital expenditures throughout 2025, with venture funding for AI startups reaching $45 billion, a 33 percent increase from the prior year [3]. However, the same analysts observed that the majority of AI research and development activities migrated to locations with lower operating costs, such as Austin, Texas, and Raleigh, North Carolina [3]. The Berkeley research brief attributed this geographic shift to rising real-estate prices and living costs in San Francisco, which have risen 12 percent annually since 2022 [4].
Professor Moretti’s analysis linked the AI boom to a “skill mismatch” in the local labor market, noting that many new AI roles require expertise in machine-learning engineering and data science, fields for which San Francisco’s existing workforce is under-represented [4]. He emphasized that the city’s educational institutions have not yet scaled programs to meet this demand, contributing to the observed employment plateau [4].
Impact on Workers, Employers, and Institutions
The stagnation in tech employment directly affects current workers. The San Francisco Standard reported that 58 percent of surveyed tech employees anticipate a salary increase of less than 3 percent in 2026, citing limited promotion opportunities and a competitive hiring environment [2]. Unemployment claims filed by former tech employees rose by 9 percent between October 2025 and January 2026, according to the California Employment Development Department [1].
Employers are adjusting compensation structures. Several large firms announced revised bonus schemes that tie payouts to AI-related project milestones rather than traditional performance metrics [2]. The city’s economic development office released a statement indicating that it will prioritize incentives for companies that create entry-level AI training positions, aiming to mitigate the skill gap identified by UC Berkeley researchers [4].
Educational institutions are responding to the market shift. The University of California, Berkeley announced the launch of a new “AI Workforce Initiative” in February 2026, designed to provide short-term certification courses for data-science and machine-learning roles [4]. Community colleges in the Bay Area reported a 22 percent increase in enrollment for AI-focused curricula during the first quarter of 2026 [3].
Outlook for the Bay-Area Tech Ecosystem
Tech Employment in San Francisco Stagnates as AI Growth Fails to Boost Local Jobs
City officials forecast that the current employment plateau could persist through the remainder of 2026 if housing costs and talent pipelines remain misaligned with industry demand [1]. The California state labor bureau projected a modest 1.5 percent annual growth in tech jobs statewide for 2027, but noted that the San Francisco metro area is likely to lag behind the state average [3]. The combination of ongoing layoffs, limited new hiring, and a static salary environment underscores the immediate challenges facing tech professionals in the region [2].
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The city’s economic development office released a statement indicating that it will prioritize incentives for companies that create entry-level AI training positions, aiming to mitigate the skill gap identified by UC Berkeley researchers [4].
What: San Francisco’s tech employment has plateaued and salaries have stalled despite a national AI boom.
When: Decline began in 2025 and continued through January 28, 2026.
Impact: Workers face limited job openings and stagnant pay; employers adjust compensation; educators expand AI training programs.
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