Why Your Multi-Agent AI System Is Probably Making Things Worse

While 2025 has been dubbed the 'Year of the Agent,' recent research from UC Berkeley and Google DeepMind reveals a counterintuitive reality: adding more agents or compute often degrades system performance. This deep dive explores why 'scaling up' leads to coordination chaos and error amplification, and why the real path to reliable AI lies in smarter workflow design and strict constraints rather than raw power.