Not one model. Millions of agents, all connected, all running the same loop. Improve. Keep the change that worked. Do it again. At scale. No human in the room slowing it down.

AI systems are now improving themselves at scale. The strategic implications are bigger than most leadership teams are tracking. Recursive self-improvement means an AI improves its own performance, keeps what works, and repeats the loop, often across many connected agents, with minimal human involvement per cycle. It is widely considered the inflection point for the field. Three things every business owner should sit with: First, the regulation everyone keeps predicting is not arriving, and t...