Unconstrained multi-agent LLM teams often fail to outperform single expert models. Apple Machine Learning Research found that without fixed roles or workflows, these self-organizing systems struggle to coordinate effectively. This suggests that emergent collaboration is currently inefficient. Practitioners should stick to structured agentic workflows rather than relying on autonomous, free-form interaction.