“We gave everyone ChatGPT licenses” is not an AI strategy. It’s a receipt.
I hear some version of that sentence often, usually from a leader who’s proud of it. And I understand the instinct: licenses are visible, they’re easy to announce, and they feel like progress. But a login is not adoption, and a purchase order is not a plan. I watched the real difference between hype and readiness play out for years at an independent K-12 school before I ever put a name to it.
Hype chases the tool. Readiness chases the problem.
Hype starts with the tool and works backward, looking for a use case to justify the purchase. Readiness starts with a problem people actually have, something slow, tedious, or genuinely frustrating in their day, and only then asks whether AI is a good fit for solving it. Sometimes it isn’t, and readiness is comfortable saying so. Hype rarely is, because the tool already has a budget line and needs to prove itself.
That ordering matters more than it sounds like it should. A tool chasing a problem gets used because it makes something easier. A tool with no problem to solve gets a training session, a few weeks of novelty, and then a slow return to whatever people were doing before.
Hype announces a mandate. Readiness finds a champion.
Hype rolls out from the top: a memo, a company-wide license purchase, a deadline for everyone to start using the new thing. It treats adoption as a compliance problem. Readiness looks for the person who’s already using AI on their own time, the one who found it useful before anyone told them to, and lets that person show their peers what actually worked for them.
Staff trust a colleague’s honest account of what saved them time far more than they trust a mandate from leadership, no matter how well-intentioned. A mandate can get people to open the tool once. It can’t get them to keep using it after the training ends.
Hype backfills policy. Readiness writes it first.
Hype treats policy as paperwork to clean up after something goes wrong, an afterthought once a data privacy question or a misuse incident forces the issue. Readiness writes the policy before the rollout, so people already know what’s in bounds before they start experimenting. I chaired the committee that wrote my school’s Ethical Use Policy for AI and technology, and the thing that surprised people most was that having the policy in place first didn’t slow adoption down. It sped it up. Staff stopped second-guessing themselves once they knew where the lines were.
What actually shows up in the numbers
None of this shows up in a press release. It shows up in adoption numbers, the ones nobody announces because they’re not as flattering as a licensing count. When my school got the sequence right, mission-driven policy first, the right champion instead of a mandate, real pain points instead of a generic rollout, faculty AI adoption went up 50 percent. No mandate did that. No licensing tier did that. Sequencing did.
If your organization has the tool but not the sequence, you don’t have an AI strategy yet. You have a subscription.
If you’re not sure whether your organization’s AI rollout is hype or readiness, that’s a useful thing to find out before you sign another license. Let’s talk about what the sequence should look like for you.