How Code Replaces Cartels | When Algorithms Secretly Raise Prices скачать в хорошем качестве

How Code Replaces Cartels | When Algorithms Secretly Raise Prices

For decades, price fixing was easy to recognize. Companies secretly met, agreed to raise costs, and regulators stepped in to punish the conspiracy. Today, that clear picture is fading fast. Modern markets are increasingly managed by learning algorithms rather than people. These digital agents analyze competitors, adjust prices automatically, and optimize profits at incredible speed. Recent research shows that such systems can quietly create the same inflated prices once produced by illegal human agreements, even when no one intends to break the law. A surprising discovery reveals that so-called no-regret algorithms, designed to behave fairly and competitively, can still be pushed into maintaining high prices. If one algorithm adopts a simple, stubborn strategy, others may react defensively, locking the entire market into an expensive equilibrium. The result looks like collusion, yet no conversation, coordination, or malicious programming ever occurs. This creates a serious challenge for traditional antitrust laws. Regulators rely on evidence of explicit cooperation, but algorithmic behavior leaves no paper trail and no guilty meeting to expose. Markets can become distorted purely through independent machine decisions. Experts now face a difficult question. Should certain kinds of software be restricted, or must new legal frameworks be invented to address this silent form of digital coordination? As artificial intelligence becomes more autonomous, ensuring fair commerce may require rethinking the very definition of collusion in the age of algorithms. #ArtificialIntelligence #DataScience #DigitalEconomy #AlgorithmicTrading #GameTheory #MarketRegulation #TechEthics #AIandSociety #Antitrust #FutureOfBusiness #MachineLearning #EconomicsExplained #YouTubeScience