# Google Research — Towards a science of scaling agent systems: When and why agent systems work

- Company: Google Research (research.google)
- Announced: 2026-01-28T11:00:00+00:00
- Category: research-paper
- Subject: Research
- Source: https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/
- Record: https://forck.live/items/1372-towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work

Google Research publishes a paper introducing the first quantitative scaling principles for AI agent systems. The study evaluates 180 agent configurations across five architectures and finds that multi-agent coordination improves performance on parallelizable tasks but degrades it on sequential ones.

## Evidence

Verbatim from https://research.google/blog/towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work/:

> In our new paper, “Towards a Science of Scaling Agent Systems”, we challenge this assumption. Through a large-scale controlled evaluation of 180 agent configurations, we derive the first quantitative scaling principles for agent systems, revealing that the "more agents" approach often hits a ceiling, and can even degrade performance if not aligned with the specific properties of the task.

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Record: https://forck.live/items/1372-towards-a-science-of-scaling-agent-systems-when-and-why-agent-systems-work
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