Analysis: in the Bay Area, tech employers filed layoff notices for 14,500+ workers in the 12 months to June and software engineer demand is down 42% since 2022
The enormous wealth generated by Anthropic and OpenAI is overshadowing layoffs and an uncertain job market in the city.
Context & Ripple Effects
The Bay Area has experienced prior tech-employment retrenchments, including more than 25,500 startup job losses in the San Francisco region during 2020 and a broader 2024 pullback in technology hiring. The latest figures put a local measure on a labor-market contraction that had already appeared in national layoff and job-posting data.
The pressure is uneven across technical roles: a 2023 compensation study found higher pay for senior AI and machine-learning engineers than for other senior engineers. That contrast makes falling general software-engineer demand more consequential than a simple count of layoffs.
First-order effects
- More than 14,500 Bay Area workers covered by layoff notices face displacement, while software engineers encounter a market with 42% less demand than in 2022.
- Bay Area tech employers can fill general software roles from a larger pool of available candidates, reducing engineers’ leverage in ordinary hiring processes.
Second-order effects
- The gap between broad software hiring and the earlier AI/ML pay premium concentrates recruiting competition in specialized AI roles, forcing employers to distinguish scarce AI work from general engineering openings.
- Startups and smaller technology employers can recruit from displaced local talent, but must compete for AI specialists against better-paid roles identified in the 2023 compensation data.
Third-order effects
- If the divergence persists, Bay Area technical labor will be segmented between a narrower AI-specialist market and a more competitive general software market, rather than moving as a single hiring cycle.
- The region’s job market becomes more dependent on whether frontier-AI companies and their surrounding suppliers translate capital and product activity into broad-based engineering hiring.
The trend: AI is contributing to a bifurcated tech labor market in which specialized machine-learning talent retains scarcity while demand for general software engineers contracts.