Gartner surveyed 782 enterprise AI leaders and found something most vendors will not put in their pitch decks: only 28% of AI projects actually deliver ROI. The rest either fail outright or limp along delivering half-working results. Gartner''s own channel just released a framework that explains why. The video breaks AI business outcomes into three categories - and only one of them maps to what most CFOs actually track. ROI is the obvious one: dollars in versus dollars out. Most organisations measure this and stop. But Gartner argues the real strategic leverage comes from two others. ROE - return on experimentation - measures what you learn from projects that fail fast but inform the next bet. ROF - return on flexibility - tracks how quickly your AI infrastructure can pivot when the market shifts. Here is the uncomfortable implication. If you are only tracking ROI, you are optimising your AI programme for a metric that the data shows 72% of projects will not hit. You need all three frameworks to decide intelligently where to invest, where to kill, and where to double down. The question every business leader should ask after watching this: Are you measuring your AI programme with one metric when the right framework requires three? - Priya Sharma Full video link https://youtu.be/k2VKofUjIE8