On 20 July 2026 New Jersey Governor Mikie Sherrill signed the Forbidding the Algorithmic Inflation of Rent Act, known as the FAIR Act, into law. The statute regulates the use of algorithmic rent-setting systems in order to prevent landlords from using those algorithms to coordinate rental prices or occupancy levels.
The state framed the measure as an antitrust and consumer-protection response rather than an AI-specific safety rule. In the governor’s own words, landlords “who should be competing to provide the best price to renters, are instead colluding to drive prices up through so called ‘algorithmic pricing.’” The law also creates avenues for renters themselves to report violations and seek relief, so enforcement is not solely dependent on state action. New Jersey Attorney General Jennifer Davenport, quoted in the same announcement, described her office as leading litigation against algorithmic collusion by landlords and technology companies.
The broader pattern is worth noting for anyone shipping pricing or optimisation software. This is not a rule about model capability, training data, or disclosure. It targets a specific commercial use of an algorithm - pooling competitors’ non-public data into a shared pricing recommendation - and treats it through existing competition law concepts. Several US states have now moved in the same direction on rental pricing specifically.
For a business leader, the takeaway is that AI regulation in the United States is arriving on two separate tracks. One track is frontier-model safety legislation aimed at a handful of large developers. The other, which the FAIR Act belongs to, is sector-specific rules about how automated decision systems may be used in pricing, housing, hiring and insurance. A company deploying a pricing engine is far more likely to be caught by the second track than the first, and the compliance question is about what data the system ingests from competitors and how its recommendations are applied.