Here's a pattern I've watched take shape over the last six months.
The people getting the most out of AI aren't always the ones you'd expect. It isn't always the most tech-savvy or the earliest adopters. Often it's the people who know how to think about their own thinking. That's really what metacognition is. Being able to step outside your own head, watch how you work through a problem, and put it into words. The ones who can do that tend to get further, faster, even without a technical background, because clarity is what AI needs from us in order to understand us in the first place.
I saw the flip side last week. A business owner was frustrated with an AI tool, but the tool wasn't the problem. She'd asked it to handle a recurring task she'd always just done, a little differently each time depending on the day. The task had never actually been defined. So the AI did the work the way she'd described it, which turned out to be three slightly different ways at once.
That's the thing I keep coming back to. AI doesn't fix a messy process. It runs it faster. If the workflow underneath is clear, AI accelerates something good. If it's tangled, you get the tangle back, quicker and at a bigger scale. The owners who struggle aren't behind on technology. They've just never had a reason to make the implicit explicit, because they were the system, and the system lived in their head.
This is where metacognition quietly becomes a business skill. The value of AI is compounded when you can observe your own thinking and state it plainly: what the steps actually are. What the rule is when something unexpected shows up. That used to feel like overhead. Now it's what turns AI from a novelty into something that actually moves the needle.
The good news is you may already have the part that matters. If you can think clearly about how you think, and articulate exactly what you need and why, you're most of the way there.