The Lights Came On — and Everything Changed

In 1882, when Edison lit up 85 homes for the first time, I'm pretty sure most people assumed electricity was a rich man's plaything.

Within 20 years it had changed everything — not because people understood electricity, but because a few smart people had started using it to solve human problems.

The businesses that won weren't the ones who understood the technology best. They were the ones who understood what it unlocked — and moved. The ones who waited to see how it all played out? Most of them don't have buildings named after them.

A butcher who got refrigeration in 1890 didn't need to be a tech pioneer. He just needed to spot that it meant he could hold stock in August and sell fresh meat further from the slaughterhouse. He didn't need to understand how it worked. He needed to understand how to use it in his business.

That's where we are with AI right now — it's an amazing enabler, but you have to be able to spot the problems it can solve.

If you've been feeling like this is moving fast and you're not sure where you fit — that feeling is completely normal. And you're probably not as far behind as you think.

The people building the AI tools are not your competition. They're more like the engineers who wired up the first factories. Important work. But the real value — the stuff that builds lasting businesses — gets created by people who use that new capability to solve something real.

Here's what that looks like across a few different types of business.

Running a local business — a shop, a salon, a restaurant?

Your edge used to be location and word of mouth. Now it's also responsiveness. AI tools can handle booking enquiries overnight, reply to reviews, write your weekly social post, and nudge lapsed customers — without hiring anyone. A small restaurant in Lyon is now doing the customer communication work that used to require a part-time marketing person. That's not a tech story. That's a margin story.

Working in FMCG or retail?

Here's a recent example that caught my eye — because I've always been fascinated by non-distribution.

Move from 99% to 98% distribution and you've actually doubled non-distribution. That's the number that matters. Because when someone can't find your product, that's the single biggest reason they switch to a competitor — not price, not preference. Just absence.

In impulse categories especially — confectionery, soft drinks, ice cream — that moment of absence doesn't just lose you a sale. It hands a competitor a free trial.

Unilever spotted this in their Magnum business. Magnum is built entirely on the impulse moment. Someone stops at a petrol station, fancies one, reaches into the freezer — and it's empty. Sale gone. No second chance.

So they fitted AI cameras inside their freezer cabinets — 100,000 of them so far. Each one photographs the stock, sends the image to the cloud, and automatically generates a restock order for the distributor. Two eyes watching every freezer, every day, without anyone picking up a phone.

Retail sales up 8% in Turkey. 12% in the US. 30% in Denmark.

That's what happens when you stop accepting out-of-stock as a cost of doing business — and use AI to make the invisible visible.

The principle applies well beyond ice cream. Wherever your product depends on being in the right place at the right moment, and your customer has an easy alternative within arm's reach, the cost of not knowing what's happening on the ground is probably higher than you think.

In professional services — law, accountancy, HR, consulting?

Your value has always been expertise plus time. AI doesn't replace the expertise. But it compresses the time — dramatically. The firms winning right now aren't replacing their people with AI. They're the ones where a junior can now do work that used to need a senior, because the AI handles the research, the first draft, the cross-referencing. Clients get faster answers. Margins improve. The work gets more interesting, not less.

A SaaS founder or product leader?

You already know the tools exist. The harder question is whether you're building AI into your core value proposition — or bolting it on as a feature. The factories that won in the electricity era weren't the ones that added electric lighting to a building designed around gas. They were the ones that redesigned the whole floor around what electric motors made possible. Same question applies to your product.

The biggest risk right now isn't moving too fast. It's mistaking watching for preparing.

Reading articles about AI — including this one — going to conferences, having the conversation in leadership meetings. None of that is the same as finding one real thing in your business that AI can do better, and doing it.

It doesn't have to be big. The butcher didn't redesign his whole business when he got refrigeration. He just stopped losing stock in August.

Start there. Find your August problem.

The lights are on. You don't have to rewire the whole building today — but you do have to decide to stop working by candlelight.

Source: Unilever.com — "How our AI-enabled freezers are revolutionising ice cream sales", August 2024. Read more

Article 1 of the "Every Era Has Its Reboot" series — exploring what every major technology shift actually meant for ordinary businesses, and what AI means for yours. | redebuter.com Read more