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.