Stanford researchers find single-agent AI systems outperform multi-agent systems under equal budgets — AI efficiency gains

Context

Stanford University researchers have found that single-agent AI systems often outperform multi-agent systems under equal budgets, challenging the assumption that more agents mean better intelligence. This discovery could help marketers optimize their AI investments and avoid paying a 'swarm tax' for inefficient architectures. Relevant for enterprises evaluating AI solutions for complex tasks.