Last year, I wrote about the gap between martech promises and results. The questions I raised about revenue attribution, process dysfunction and team readiness have gotten sharper. Because now there’s an expensive new variable: AI that promises to fix everything yet struggles to prove it fixes anything. Agentic AI is the buzzword of the moment. Vendors pitch autonomous systems that plan campaigns and optimize spend without human intervention. The demos look incredible. The production reality looks different. Gartner predicts that more than 40% of agentic AI projects will be canceled by the end of 2027. Not because the technology disappoints in controlled environments, but because costs escalate, risks surface and business cases never solidify. We’ve watched this pattern repeat with every generation of martech sophistication. Agentic AI scales whatever strategy you have, for better or worse. When your workflows are broken, adding autonomous agents scales the dysfunction at machine speed.…