Too many AI agents can get in each other's way

AI and ML

For enterprise agents, less is more

Anthropic and OpenAI have both proposed the deployment of agent armies as a way to maximize the notional benefits of artificial intelligence systems.

But the optimal agent workforce isn't necessarily the largest. Researchers affiliated with the NTT Research's Physics of Artificial Intelligence (PAI) Lab and Harvard University's Center for Brain Science (CBS) say there's a point at which enterprise AI agents get in each other's way.

Back in 2024, OpenAI used the term "swarm" to describe multi-agent architecture, before settling on a more anodyne term "OpenAI Agents SDK." Anthropic is focused on multi-agent orchestration.

In both cases, the implication is that productivity rises along with the number of agents you run, an idea that means you spend more at OpenAI and Anthropic.

But according to Elizabeth Pavlova, senior data scientist at Harvard CBS, and Hidenori Tanaka,...

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