Everyone Building Multi-Agent Systems Is Spending Compute on Something Mathematically Impossible.

Stanford researchers proved in April 2026 that single-agent systems outperform multi-agent systems when compute resources are equal, a finding that challenges the current trend in AI development. The mathematical proof, described as older than the internet, suggests that many organizations are wasting compute on multi-agent architectures that cannot mathematically outperform simpler alternatives.