TonyBai

Aug 2, 2026 · Artificial Intelligence

Google Study: 260 Experiments Show When Multi‑Agent AI Helps or Hurts

Google Research and MIT conducted 260 controlled experiments across five architectures, three model families, and six benchmarks, discovering that multi‑agent systems boost performance up to 81 % on parallelizable tasks but can degrade it by up to 70 % on strictly sequential tasks, and they built a predictor that selects the optimal architecture with 87 % accuracy.