The autonomous nature and adaptability of artificial intelligence (AI)-powered pricing algorithms make them attractive for optimizing pricing strategies in dynamic market environments. However, certain pricing algorithms may learn to engage in tacit collusion in competitive scenarios, resulting in overly competitive prices and potentially harmful consequences for consumer welfare. This has prompted policymakers and scholars to emphasize the importance of designing rules to promote competitive behavior in marketplaces.
AI-driven personalized pricing may not help consumers
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