Separate AI agents reportedly underperform one coordinating agent on shared resources

A post about a Stanford paper says agents working separately for individual users did worse on shared resources than one agent serving everyone. It says the separate agents sometimes overwrote one another’s work or stalled as teams grew. On a contested token budget, Opus 5 teams captured 30% of achievable value, compared with 64% for one coordinating agent.