AI stalls inside big companies because leadership and employees are looking at the same thing for two completely different reasons. Leadership sees fuel for profit. Employees see a way to make their own job easier. When those two views don’t meet, nothing moves and everybody gets frustrated.
You don’t have that problem. As an owner, you’re both people at once. That’s a real advantage, and it’s worth noticing that you have it.
Why do leadership and employees see AI so differently?
Put yourself in the CEO’s chair for a second. You see AI showing up in your organization, and you’re thinking about one thing: profit. My engine makes 10 percent today, so if I pour AI on it, can it make 15 percent? That’s gasoline thinking. Maybe it makes employees’ lives better along the way, but that’s a side effect, not the point.
Now put yourself in the employee’s chair. They’re thinking about a tool. Here’s something that helps me get my job done better, faster, and easier, and that’s the whole ambition.
Leadership is pouring gasoline and employees are picking up a tool. Nobody is wrong, and nobody is talking about the same thing. That gap is where AI adoption goes to die inside a big company, and it explains the frustration a lot better than “people are scared of change.”
What does the AI gap feel like inside a company?
This happens with every wave of technology. I’m a technology nerd, so I’d start playing with the new thing the day it showed up. Corporate wasn’t ready for the new thing, and because it was company data and company information, I had to do what they wanted me to do while I was mentally three steps ahead.
Now imagine being that employee today. You get obsessed with Claude or ChatGPT, you start doing your actual job with it, and your manager hears about it. You can hear the response before it happens. Whoa, whoa, whoa. You can’t put our information in your own Claude. We’re a Copilot shop.
That’s a reasonable rule. It’s also incredibly frustrating for the exact employees who are most motivated to make the work better.
Why is the perception of AI worse than the reality?
Part of it is media. You can’t open a social feed or turn on cable news without somebody explaining that AI is bad. Why? Because it’s change, and change is bad for a lot of people. If you’re not using it yourself, it sounds spooky, because the only stories that reach you are the scary ones. Claude broke out of its harness. ChatGPT did the thing. That’s what gets airtime.
What doesn’t get airtime is somebody’s Tuesday getting three hours shorter. My expectation is that the perception improves as more people use it every day, because using it is what makes it ordinary.
How should a small business owner use AI differently?
I’m pedal to the floor on AI, and you should be too, because for us it isn’t gasoline or a tool. It’s staffing.
Imagine a part-time or full-time junior employee who never gets sick, never gets bored, shows up every day, and does exactly what you ask. They can do research, fulfillment, analysis, and graphic design, whatever you need, on demand. And if you’re using something like Claude Cowork, it runs on its own. Same job every day, done well, and when it isn’t done well you tell it how you want it and it does better next time.
That’s a gift, and it’s the thing you should be adopting full force if you’re out here building your own business. There’s no committee, no policy memo, and no Copilot shop. There’s just you deciding.
Questions owners ask
Where do I start with AI in my business?
Don’t start with the tool. Start with what stinks. Make a list of the boring, repetitive work in your week, then work backward to what could handle it. Outcomes first, software second.
Is it too late to get in on this?
No. Plenty of owners haven’t started, and the ones who have are still figuring it out. Being a year in is a real head start, and the year begins whenever you begin.
Do I need to be technical?
No. If you can explain a task to a new hire in plain English, you can do this. That’s the whole skill.
What’s the fastest win?
Pick one thing you do the same way every single week and hand it over. The boring, repetitive work is the training, for you and for it.
The big companies are stuck arguing about what AI is for. You get to skip the argument. Pick the one job you’d hand a smart new hire, give it to your AI this week, and correct it until it’s right. If you want the whole conversation, watch the full episode.