A Stanford study finds that multi-agent systems often derive their performance gains from increased compute rather than architectural superiority. The researchers identified specific exceptions where agent collaboration actually adds value. This suggests developers should prioritize single-agent optimization unless a task requires distinct, specialized roles to justify the extra processing costs.