There’s a quiet revolution happening among the fastest-growing solopreneurs, and it has nothing to do with writing better emails or churning out more content.
According to promotional material from a recent video and book release, the most successful solo operators are spending roughly a third of their AI time on something fundamentally different. Instead of using artificial intelligence as a production tool, they’re using it as a thinking partner for the big calls: pricing strategy, hiring decisions, what to build next, what to cut.
One example cited in the material involves a franchise owner running a small studio who applied this approach and saw revenue grow from $300,000 to $1.1 million within twelve months. That’s the kind of jump that gets attention, and it’s exactly why the conversation around AI for entrepreneurs is shifting.
Where the Real Leverage Hides
The core idea is straightforward but easy to overlook. Most people point AI at tasks that feel productive—drafting copy, generating images, automating replies. Those have value, sure. But the higher-leverage move is using AI to decide what matters in the first place.
The material describes this as finding the “few decisions, workflows, or product ideas that would create the most leverage if AI were applied there first.” It’s less about doing more and more about thinking harder about where to point your attention.
There’s a section in the video about product building that caught my eye. The example given involves someone with no coding background who reportedly built a restaurant management tool over a weekend using a platform called Lovable and generated over $120,000 in sales. The take isn’t that technical skill is dead. It’s that knowing where to start—what problem to solve first and how to frame it—matters more than the tools themselves.
That distinction feels important. Thousands of people sit on ideas that could become products. The ones who actually ship often aren’t the most technically skilled. They’re the ones who figured out the strategic starting point faster.
The Attention Recession
The book mentioned in the material, The Wolf Is at the Door, apparently tackles something called the “attention recession.” The argument goes like this: the sheer volume of AI tools, updates, and hot takes has become so overwhelming that entrepreneurs end up busy but misdirected. They’re consuming rather than deciding.
That’s a relatable problem. Pick any week and there’s a new tool to try, a new prompt technique to master, a new trend to follow. The noise makes it genuinely hard to step back and ask the question that actually moves the needle: what’s the one decision I could work on that would compound the most?
This isn’t a new idea in business strategy, but applying it specifically to how entrepreneurs use AI is where things get interesting. The shift from AI as executor to AI as strategic sounding board represents a mindset change more than a technical one.
What This Means for the Rest of Us
Here’s where I’d push back a little on the framing. The promise that a specific prompt could “triple your revenue” is the kind of claim that’s hard to verify and easy to skepticism toward. Revenue shifts depend on dozens of factors—market conditions, execution quality, timing, luck. Reducing that to a single framework or AI tool feels like overpromising.
That said, the underlying principle is sound. Using AI to think more clearly, structure decisions, and stress-test strategies before executing them is genuinely more valuable than using it to produce more content faster. The entrepreneurs who get this are the ones treating AI as a counterpart for reasoning rather than just a worker bee for tasks.
As AI tools continue to multiply, the gap between those who use them to avoid thinking and those who use them to think better will only widen. The action isn’t in the doing. It’s in the deciding where to point the machine in the first place.
