This article unpacks a 2026 paper arguing that under finite resources, narrowly focused AI systems consistently outperform general-purpose ones. It draws on the no-free-lunch theorem, examples from biology and markets, and machine learning phenomena like negative transfer, mixture-of-experts, and AlphaFold’s task-specific success.