The article argues that autonomous Agent AIs trained with reinforcement learning will inevitably outcompete confined Tool AIs in both economic value and intelligence, because the same learning mechanisms that enable action-taking also enhance inference and self-improvement. The author contends that limiting AIs to pure computation without agency is an unstable equilibrium, as Agent AIs' superior capabilities across multiple dimensions will make Tool AI restrictions impractical.