Every tech era has re-drawn the fair housing map
Adoption speed and regulatory lag
From redlining math to digital redlining
Technology started as a discrimination tool
FHA redlining math, 1930s-60s. The very first algorithmic risk models in American housing were used to formalize and scale racial exclusion — not to correct it.
Internet briefly leveled
2000s MLS democratization. Listing platforms reduced steering and opened information access — arguably the only clear pro-equity tech era in this timeline.
Social media re-broke it
Facebook HUD lawsuits proved that ad targeting tools could be used to exclude protected classes at scale. The 2010s ended with the same redlining pattern, just running on a different rail.
AI is the new redlining
CRD Oct 2025 algorithmic regs + pending AB 1018, SB 52. California is the regulatory tip of the spear, but tenant-screening AI is already in-market ahead of enforcement.
Generative AI adopted in 8 years what PCs took 30 to achieve. Regulators are structurally behind. Every past tech era either worsened or briefly improved fair housing — the 2020-present AI era is squarely in the worsening column.
Source: Federal Reserve Bank of St. Louis (adoption curves); California Civil Rights Department algorithmic discrimination regulations (October 2025); pending California AB 1018 and SB 52.