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.Sources:https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/https://arxiv.org/pdf/2512.08296