Towards a Science of Scaling Agent Systems

Google Research published January 28, 2026 introduces quantitative scaling principles for AI agents. While multi-agent systems boost performance on parallel tasks, they often degrade sequential ones due to coordination overhead. A new predictive model identifies optimal architectures with 87% accuracy.