Most AI systems still require high-quality human input. Automated training can scale up. But it faces difficulties in: ambiguity, subtlety, real-world judgment. That’s why human involvement in the feedback loop remains important. Not as an alternative, but as a core layer. The challenge is not whether human input is needed. But how to obtain it: at scale, with high quality, from real people.