One strategic signal. One human prompt. One subtraction opportunity.
Signal
Everyone’s suddenly measuring AI maturity.
Today’s maturity metrics are usually built on self-assessments, inflated usage data, and goals invented mid-kickoff meeting. It’s like grading your own math test, then publishing the average as strategy.
- Scores are simple.
- Understanding rarely is.
- Behavior? It’s complicated.
AI adds an additional layer of unpredictability to each, turning every neat framework into an act of exploratory discovery.
But far too many of us still act as though collecting data is collecting insight.
When number go up but performance go down, it might be passable on the 2025 annual review. It’s also how you wind up somewhere uncomfortable by this time next year.
Strategic (Human) Prompt
You’re tracking “AI adoption,” right?
But what are you actually measuring: competence or compliance?
If the number rose this quarter — do you know why?
Strategic Subtraction
Easy test to run this week:
- Find a recent AI metric: adoption rate, accuracy score, usage percentage, etc.
- Ask three people how it’s calculated and what it means
Did you get three different answers? If so, that metric isn’t measuring understanding at all. It’s measuring misunderstanding.
Subtraction opportunity: pause the dashboards until definitions are aligned. Rebuild from shared comprehension outward.
Analogy: Pedal to the Metal
Imagine teaching someone to drive using only a speedometer.
You could reward them for hitting top speed — but they might be going the wrong way down the freeway.
That’s what happens when organizations chase performance metrics without situational awareness. We’re flooring it toward false confidence.
Closing
AI exposes how fragile our measurement culture really is. We’re trying to navigate new terrain with the same rulers that failed us before.
True maturity isn’t a higher score. It’s a smaller gap between what we believe we understand and what we can actually explain.