Enterprise AI has crossed an inflection point where the model problem is largely covered, but what remains unsolved is the operational impact: how to run AI inference and agentic processes continuously, reliably, and at a cost that doesn’t cancel out the value. This post curates 10 infrastructure thought leaders whose work focuses on the hard operational questions of running AI at enterprise scale.