If you’ve been following the world of artificial intelligence over the past few years, you’ve likely felt the whiplash. Not long ago, AI was being heralded as the great equalizer — the tool that would let a two-person shop compete with a Fortune 500. Every conference, newsletter, and business coach was breathless with possibility. As an SBDC consultant, I watched many of my clients get swept up in that wave, experimenting with tools before they had a clear reason to, and layering technology on top of processes that weren’t ready for it. Now, the mood has shifted. We’re on the downswing of what Gartner calls the “Trough of Disillusionment” — that inevitable slide that follows any overhyped technology when reality doesn’t match the promise. The excitement has cooled, and for many small business owners, so has their appetite for AI altogether.
But here’s what the Gartner Hype Cycle also tells us: the trough isn’t the end of the story. Beyond it lies the “Slope of Enlightenment” and eventually the “Plateau of Productivity” — where technology quietly delivers real, durable value to the businesses that stuck with it thoughtfully. The risk right now isn’t that AI won’t deliver; it’s that small business owners, burned by overpromising and underwhelming results, will abandon the technology just as it’s maturing. The pendulum that swung too far toward hype is in danger of swinging just as far in the other direction — toward dismissal — and that would be a costly mistake.
The opportunity, then, belongs to the owners willing to resist both extremes. That means setting aside the “AI for AI’s sake” mindset and asking instead: Where does this actually solve a problem I have? It means tying any AI implementation to a specific strategic goal, integrating it properly into existing workflows rather than bolting it on as an afterthought, and — critically — bringing staff along through meaningful training and change management. The businesses that do this work now, while the broader market is cooling, won’t just be more efficient. They’ll be differentiated. When the plateau arrives and AI’s long-term value becomes undeniable to everyone, they’ll already be operating at a level their competitors are still trying to reach.