Banner image courtesy of Charles Deluvio
Starting a business in 2026 is a thrilling proposition. Not because the world is stable, sensible, or especially generous, but because we have finally reached the point where every founder can outsource half their personality to a machine… and call it strategy.
The modern business owner no longer needs a secretary, a strategist, a junior hire, or, in some cases, a fully formed thought. What they need is a system that can reply to emails, generate proposals, chase leads, summarise meetings, draft content, and occasionally pretend to be delighted about it. The entrepreneurial dream has evolved from “build something meaningful” to “reduce friction until nothing human remains except the invoices.”
And yet, against all instinct, this is not entirely stupid.
The genuinely useful AI businesses in 2026 are not the ones that merely slap a glowing interface on top of banal labour and charge a subscription for the privilege. Those are already everywhere, lurking in the digital weeds like overconfident middle managers. The interesting ones are quieter, sharper, and much more useful. They fix things that are boring in exactly the way that makes companies leak time and money: missed leads, bad forecasting, tedious admin, chaotic content production, useless reporting, and the endless swamp of “we should really get on top of this” that defines so many businesses.
The best opportunity, then, is not to “use AI” in the way people say “we should do a podcast” when they have no idea what the podcast is for. It is to build something that removes an expensive headache. If a business loses money because someone didn’t follow up on enquiries fast enough, there is your product. If it hemorrhages time producing content nobody reads, there is your service. If its decision-making is a mixture of guesswork, posturing, and PowerPoint, there is your consulting offer.
The more ambitious founders will go further. They will build systems that don’t just automate tasks but shape outcomes: better customer targeting, better pricing, better operations, better forecasting. The point is not to make the machine busy. The point is to make the business less stupid.
There is, of course, a certain glamour attached to the more theatrical uses. Design concepts. Styling. Visual mock-ups. Brand worlds. All wonderfully seductive, all suspiciously easy to overvalue. A pretty image is not a business model, however many people try to behave as though it is. Still, for creative businesses, these tools can accelerate the early stages of ideation in a way that would once have required a small battalion of interns and a heroic tolerance for mood boards.
Then there are the bolder categories: auditing AI outputs, checking for errors and bias, securing systems against fraud, and teaching teams how to work with these tools without producing a catastrophe in public. These are not particularly sexy businesses, which is usually how you know they are real. The market always loves a polished illusion, but it pays handsomely for someone who can stop the illusion from exploding.
What should you actually do with this information? Start with one narrow, expensive problem. Not “I want to build an AI business,” which is the entrepreneurial equivalent of saying you’d like to become a personality. Pick the pain point. Pick the customer. Pick the measurable result. Then use the technology to make that result faster, cleaner, and cheaper than a human-only process ever could.
That, in the end, is the joke and the opportunity. Everyone is busy talking about the future of intelligence, when most businesses would settle for competence with a pulse.
If you want, I can turn this into a sharper magazine-style piece, a Substack essay, or a more satire-heavy version with a stronger voice.