The algorithm is the new smoke-filled room. That's not our metaphor. It's essentially how the DOJ treated RealPage's pricing software when they settled last November. Here's what happened in plain terms: A company collected private rental data from competing landlords, fed it into one algorithm, and pushed pricing recommendations back out to all of them. The result? Rents moved in lockstep across entire cities. Not because anyone picked up a phone. Because they shared a brain. The DOJ said that's functionally the same as old-school price fixing. And now California and New York have passed laws that go even further, targeting any "common pricing algorithm" that uses competitor data to influence prices. This isn't just a real estate problem. If your company uses a third-party AI tool that ingests data from you AND your competitors to generate recommendations, you're standing in the same legal territory. Our team spent weeks pulling apart the settlement terms, the new state laws, and what they mean for any business running algorithmic pricing or revenue tools. We mapped out what's now prohibited, what's still allowed, and the architectural choices that keep you on the right side of the line. The short version: the era of plugging into someone else's shared model and hoping for the best is over. Ownership of your AI architecture isn't just a tech decision anymore. It's a legal one. Here's what we're curious about though: Does your organization actually know where its pricing or recommendation data goes once it hits a third-party API? #AlgorithmicPricing #AntitrustAI #EnterprisAI