You can probably picture them. There's someone on your team who didn't wait for a policy. They've wired AI into half their workflow, they have opinions about which model is best for what, and they'll happily show a colleague a shortcut that turns an afternoon of work into ten minutes. They're not asking permission. They're already living in the future you're still debating.
Leadership tends to see this person one of two ways: as a problem to contain, or as a hero to hold up. Both readings miss what they actually are.
They are a signal and a risk at the same time
This employee is the best free research your company has. They're showing you, in real time, what these tools can actually do for your specific work, which tasks collapse from hours to minutes, where the real gains hide. You could pay a consultant to tell you that. Instead it's walking around your office, eager to demonstrate.
They're also, at the same moment, your most concentrated exposure. The person getting the most out of AI is usually the one putting the most data into the most tools with the least oversight, on personal accounts, on the bleeding edge, faster than anyone is watching. The same instinct that makes them valuable makes them risky. You can't separate the two by disapproving of one half.
This isn't a fringe case, either. WalkMe's 2025 survey found 80% of employees say AI improves their productivity, and 78% are already using tools their employer never gave them. Your all-in employee is just the leading edge of where most of your team is quietly heading.
Why both instincts backfire
Crack down, and you don't just lose a bit of risk. You teach your most capable, most motivated person that initiative gets punished. They'll keep using AI, only now they'll hide it, and you'll have converted your best source of insight into your most sophisticated piece of shadow AI: hidden, unsanctioned use no one can account for. The behaviour doesn't stop. It just goes dark.
Celebrate them uncritically, and you do something almost as damaging: you bless ungoverned behaviour as a model for everyone else. Now the rest of the team copies not just the productivity, but the habits, including the part where sensitive data goes wherever it's convenient. You've made a private risk into a cultural norm.
Channel them instead
The move is neither cage nor pedestal. It's to bring this person into building the structure. Make them part of figuring out which tools the company should sanction, what good use actually looks like, where the real lines should sit. They already have the knowledge. Give them a stake in the rules and you turn your biggest informal risk into your most credible internal advocate, the one who can make a policy land with peers because they obviously aren't anti-AI.
That only works if there's a structure for them to plug into: an acceptable use policy they helped shape, a clear traffic-light call on which tools and data are green, yellow, or red, and a named owner they answer to. That structure is exactly what we build, and this person is exactly who we build it for your team to run. Knowing whether you have one yet is the first step: the AI Readiness Assessment shows you in about two minutes.
The employee who's all-in on AI isn't a threat to manage or a mascot to applaud. They're a preview of your whole company, arriving early enough to do something about it.
Keep reading
Part of a series on AI governance, the structure underneath the tools.
- Who Owns AI at Your Company?. The ownership question your early adopter exposes.
- The 4 Stages of AI Governance Maturity. Where managing your power users fits on the larger ladder.