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AI-Driven Tech Hiring Fuels Uneven Multifamily Recovery in San Francisco

By Drooid · · How we work

Core Event

From Q3 2025 through Q2 2026, San Francisco and Oakland posted year-over-year multifamily rent growth of 8.6 % and 6.0 % respectively (Altus Group). The gains are concentrated in submarkets where AI-related hiring overlaps with a sharp slowdown in new housing deliveries.

Background & Context

Post-pandemic remote work and out-migration depressed office and multifamily demand, driving rents down in 2020-2021. Rents rebounded in 2022-2023 and cooled again in 2024. Since then, employment trends, submarket location, and supply dynamics have produced an uneven recovery.

Data & Statistics

Data & Statistics
MetricFigureSource
San Francisco rent growth (Q3 2025-Q2 2026)8.6 % YoYAltus Group
Oakland rent growth (same period)6.0 % YoYAltus Group
Tech employment decline (2024)8.8 %BLS QCEW
Tech employment decline (2025)1.2 %BLS QCEW
Tech employment increase (Q1 2026 vs. Q1 2025)4.3 % YoYBLS QCEW
Growth in Software Publishers (Q1 2026 vs. Q1 2025)+12.7 %BLS QCEW
Growth in Computing Infrastructure Providers (same)+7.3 %BLS QCEW
Contraction in Computer Systems Design (same)-13.6 %BLS QCEW
Construction rate in SoMa 2016-20216.66 % annualMoody’s Analytics CRE
Construction rate in SoMa 2022-20251.15 % annualMoody’s Analytics CRE
Share of rent acceleration captured by three strongest submarkets72.3 %Altus Group

Submarket Dynamics

An unweighted Moody’s comparison of 17 submarkets shows South of Market, Civic Center/Downtown, and Haight-Ashbury/Western Addition account for 72.3 % of rent acceleration. These areas sit near expanding AI employers such as Anthropic and OpenAI. Submarkets with weaker AI presence see slower rent and value gains, indicating that a single metro-wide employment narrative does not drive uniform recovery.

Supply Constraints

Rent outperformance aligns with a pronounced slowdown in housing completions. In SoMa, the annual construction rate fell from 6.66 % (2016-2021) to 1.15 % (2022-2025), well below its long-term average. Civic Center/Downtown shows a similar pattern, while North Alameda’s construction rate remains above historical norms and its rent growth is muted. Limited new supply, combined with concentrated AI hiring, tightens vacancy rates and amplifies rent pressure in high-growth submarkets.

Implications for Valuation

Demand alone does not explain the outperformance. The convergence of AI-centric employment, constrained supply, and tighter vacancy creates a durable rent-growth environment in a small set of submarkets. Portfolio managers should stress-test rent-growth and cap-rate assumptions at the submarket level rather than using a single CBSA-wide metric. Appraisers need to adjust comparables for the distinct rent-growth and supply dynamics identified.

What’s Next

The recovery hinges on the persistence of AI hiring and the lag in new housing deliveries. Monitoring quarterly BLS tech-employment data and submarket construction rates will be essential for investors assessing rent-growth durability across the San Francisco metropolitan area.