Most AI Projects Miss ROI Because Leaders Skip The Payoff Equation

The Common Question

Why are our AI investments not showing financial returns yet?

The Lesson in This Case

Without a hard number or concrete outcome in the available text, here is the key takeaway built on the most specific claim the article makes: Most AI investments fail to produce measurable financial returns because leaders chase capabilities instead of targeting use cases with a clear, calculable payoff. The article argues that a disciplined equation – one that forces teams to connect AI activity to revenue gained or cost removed – is what separates deployments that pay back from those that quietly drain budget. If your AI roadmap cannot show that math today, that is the gap worth closing before you approve the next initiative.

Originally reported by Harvard Business Review. Read the full story here.