Even if the models stopped getting better today, we'd still see many years of improvements from improving harnesses and understanding of how to use them. Most people just talk to their agent, and don't e.g. use sub-agents to make the agent iterate and cross-check outcomes for example. Most people who use AI would see a drastic improvement in outcomes just by experimenting with the "/agents" command in Claude Code (and equivalent elsewhere). Much more so with a well thought out agent framework.

A simple plan -> task breakdown + test plan -> execute -> review -> revise (w/optional loops) pipeline of agents will drastically cut down on the amount of manual intervention needed, but most people jump straight to the execute step, and do that step manually, task by task while babysitting their agent.