How are you measuring your AI success?
What if your AI ROI isn’t showing up because you’re measuring the wrong things?
Most leaders are obsessed with measuring AI ROI in 6-9 months.
The truth? It takes years.
Infrastructure costs, data investments, and talent expenses make traditional ROI calculations nearly impossible.
But here’s the breakthrough for leaders: There’s a better way to understand AI value.
Instead of forcing ROI timelines, focus on the Hierarchy of Value:
Performance → What you delivered
The productivity gains, efficiency improvements, and accuracy boosts you can measure today
Prediction → What you captured
Competitive advantages through better pricing strategies, route optimization, faster time-to-market
Prevention → What you avoided
The human risk was eliminated. The PR disasters dodged. The pricing mistakes caught before they hit the market.
The companies thriving with AI aren’t just measuring cost savings.
They’re tracking the disasters prevented, the competitive edges gained, and new unlocks across all 3 levels.
When you shift from demanding immediate ROI to understanding this hierarchy, everything clicks.
→ Your AI investments suddenly make sense.
→ Your wins become visible.
→ Your strategy becomes clear.
That’s the breakthrough moment every leader deserves.
What’s been your experience with measuring AI value beyond traditional metrics?
@Sol
Thunder House 