Beyond the Hype: A Leader's Frame for AI Value

As a leader, your problem isn't a shortage of AI enthusiasm — it's a surplus of it, pointed in too many directions. Everyone has a pilot, a vendor, a "we should be doing AI." Your job is to cut through that and ask the only question that matters: where does this actually create value for us?**

AI creates business value in three broad ways. Every real use case is one of these:

Efficiency — the same work, done faster or cheaper. Drafting, summarizing, triaging, first-pass analysis. This is where most organizations start, and where near-term ROI is easiest to prove.
Effectiveness — better outcomes, not just cheaper ones. Higher-quality decisions, fewer errors, faster response to customers, insights you'd otherwise miss.
New capability — things you simply couldn't do before at any reasonable cost. Personalizing at scale, analyzing every customer interaction, offering a service that was previously uneconomical.

The leader's discipline: for any proposed AI initiative, name which of the three it delivers and how you'd measure it. "It's innovative" is not a value case. "It cuts our proposal turnaround from three days to three hours" is. If someone can't place their idea in this frame with a number attached, it's not ready for your investment.

The trap to avoid: doing AI to be seen doing AI. Board-pleasing pilots that never touch a real workflow burn budget and credibility. Value comes from AI applied to a genuine business problem — not from the technology itself.

▶️ Apply it

List every place AI is currently being used or proposed in your organization. Next to each, write which of the three value types it delivers and one metric you could measure it by. Anything you can't fill in is a candidate to pause — and the exercise instantly separates real opportunities from theater.