In classic industrial organization theory, tacit collusion—where competing firms coordinate pricing without direct inter-firm communication—has long posed an intractable challenge for antitrust enforcement under Section 1 of the Sherman Act, which strictly requires an "agreement" or concerted action. Traditional jurisprudence treats parallel pricing reached through independent market observation as lawful conscious parallelism, maintaining that mere market transparency and rational unilateral adaptation do not constitute an unlawful meeting of the minds. However, the widespread deployment of autonomous pricing algorithms in contemporary digital markets fundamentally destabilizes this doctrinal divide.
Unlike human managers whose parallel pricing relies on uncertain signaling and market friction, pricing algorithms operating via reinforcement learning can rapidly discover, achieve, and stabilize supra-competitive price equilibria without any explicit communication or shared software infrastructure. While some legal traditionalists argue that existing doctrine remains adequate because algorithmic alignment is merely automated tacit collusion lacking actionable intent, this formalist perspective overlooks the operational realities of computational pricing. Autonomous algorithms do not merely observe market conditions; they systematically eliminate pricing lag and optimize interdependent payoff structures in real time, replicating the economic harms of an express cartel while remaining immune to traditional evidentiary triggers. Consequently, antitrust jurisprudence must move beyond its fixation on subjective intent and direct communication, adopting an objective framework that recognizes the delegated use of interdependent pricing algorithms as an actionable form of concerted coordination.
Based on the passage, what is the primary purpose of the author?
Answer: To argue that antitrust doctrine must evolve to regulate algorithmic price coordination / To argue that antitrust law must adapt its standards to address algorithmic price coordination / To advocate for updating antitrust jurisprudence to address algorithmic collusion / To argue that antitrust standards must be revised to regulate price coordination achieved by autonomous algorithms / To argue that antitrust law should move beyond traditional communication requirements to regulate algorithmic pricing coordination / To contend that antitrust law must adopt new standards to address algorithmic coordination