The stereotype of price fixing is fat, cigar-chomping executives meeting secretly in smoke-filled rooms to agree to raise prices. But the Justice Department's recent consent decree with RealPage anticipates that AI collusion may look different. RealPage sold revenue-management software that used confidential pricing information from competing landlords to recommend rents. Although the software generated the recommendations, the DOJ alleged that the system facilitated unlawful coordination among competitors. I had my doubts. Nevertheless, the settlement requires RealPage to stop using certain competitively sensitive data and to change features of its pricing software.
AI can still recommend prices. Firms have used sophisticated pricing software for decades. A broader implication is that firms cannot avoid antitrust liability by outsourcing pricing decisions to an algorithm. If competing firms provide confidential information to a common AI system that helps coordinate pricing decisions, regulators may view the arrangement much like traditional collusion.
This distinction will become increasingly important as companies deploy AI agents to make autonomous business decisions. An AI pricing system that independently analyzes a firm's own costs, demand, and inventory is generally very different from one that relies on competitors' confidential information or otherwise facilitates coordination among rivals. The RealPage consent decree is consistent with antitrust law focusing on economic outcomes rather than how those outcomes were produced.

