A study by Stanford and Harvard Universities explained why most Agentic AI systems feel impressive in demos and then completely fall apart in real use. "Agents don't fail because they lack intelligence. They fail because they don’t adapt," it stated. It added that "adaptation is noticing...plan is wrong and changing behaviour mid-flight", and most agents today only do the first.