Picture this.
It's the early 13th century. Genghis Khan's armies are advancing across Asia, and by every normal rule of warfare at the time, they should be crawling. A traditional army hauls its siege engines with it, the catapults and battering rams and heavy wooden machines needed to break down a fortress wall. That means carts. Oxen. Hundreds of men whose entire job is dragging equipment across the steppe instead of fighting.
The Mongols didn't do that.
As Jack Weatherford describes in Genghis Khan and the Making of the Modern World, the Mongol army moved without a traditional supply train at all. Instead of hauling siege weapons across the continent, they carried engineer teams, specialists who could build whatever the army needed from materials on-site, the moment they needed it.
Every man who would have spent his days dragging equipment went back to the front instead. The empire expanded faster, not slower, because someone decided to stop moving heavy equipment and start moving expertise.
That's the thing about disruption. The obvious response is almost always the wrong one.
Fast forward about seven hundred years.
It's 1908. Henry Ford rolls out the Model T.
The fear was immediate and it was loud. What's going to happen to the carriage makers? The blacksmiths? The stable hands? The thousands of people whose entire livelihood was built around the horse?
And look, the fear wasn't crazy. By 1914, there were still more than 4,600 companies across the United States building horse-drawn carriages. By 1929, fewer than 90 remained. That's real disruption. Real pain. Real people whose jobs genuinely disappeared.
But here's what the fearful headlines missed.
Ford introduced the moving assembly line in 1913. It cut the time to build a car from over twelve hours down to ninety-three minutes. And then something unexpected happened. So many people came looking for work at his factory, once he raised wages to five dollars a day, that the crowds got so large the company turned fire hoses on them just to manage the gates. People came from across the country, desperate to work at the place that was supposedly eliminating jobs.
By 1960, roughly one in six working Americans owed their job, directly or indirectly, to the auto industry that grew out of that decision. The change came whether anyone wanted it or not. The people who fought it got run over by it. The ones who leaned in built something.
This is the only thing you can actually count on in business.
Change is coming. It doesn't ask permission. It doesn't wait until you're ready. And it doesn't particularly care about the industry you built your life around.
AI right now feels exactly like the Model T did in 1908. The fear is the same. The questions are the same. What happens to my people? What happens to my business? What happens to me?
And I get it. I talk to business owners about this every week, and the concern is real and it's honest. Nobody wants to look their team in the eye and feel like they're the one holding the axe.
But here's what I keep coming back to. The carriage makers who survived didn't survive by making better carriages. They survived by asking a different question. Not "how do I protect what I have?" but "what does this new thing actually need?"
The ones who asked that question built tire shops. Service stations. Auto parts stores. Dealerships. They built the infrastructure the new world needed, and they were ready because they'd already decided to engage instead of resist.
The productivity piece nobody talks about
Here's a fact that gets buried in most AI conversations.
Stanford economics professor John Pencavel published research in 2014 showing that productivity per hour drops sharply once a person works more than 50 hours a week. Past 55 hours, it falls off so completely that those extra hours produce almost nothing. People working 70-hour weeks, his research showed, were getting the same output as people who stopped at 55.
We've built an entire business culture around the idea that more hours equals more commitment equals more results. And the data says that's just not true.
So think about what that actually means for AI.
If one of your employees is smart about using AI tools and can get the same work done in, say, thirty-five or forty hours instead of fifty, that's not a problem. That's the best possible outcome. That person is less burned out. More focused. Probably doing better work in those hours than they were when they were grinding through hour forty-eight on fumes.
The companies that figure this out, the ones that say "I don't care if you're here for fifty hours, I care what you produce," are going to attract the best people. And they're going to keep them.
The companies firing people because of AI are making the wrong bet
I'll be direct here because I think this matters.
There's a version of AI adoption playing out in some companies right now where the logic goes like this: AI can do X, therefore we need fewer people to do X, therefore we cut. Headcount down, margins up, problem solved.
I think those companies are making a serious mistake, and I think the market is going to tell them so.
Consumers are paying attention in a way they weren't ten years ago. They notice when a company's customer service becomes a loop of chatbot dead ends. They notice when the human element disappears. And they talk about it. In small communities especially, and Southern Alberta is full of them, your reputation is the product. The moment people feel like they're being processed instead of served, they find someone who still treats them like a person.
The businesses that are going to win with AI aren't the ones using it to get rid of people. They're the ones using it to make their people better, free them up for the work that actually requires a human, and build something their competitors can't copy with software.
That's not idealism. That's just good strategy.
What that Genghis Khan moment actually looked like
Here's the part of that story I want to leave you with.
The men who would have spent their days dragging siege equipment across the steppe didn't sit idle once the workload disappeared. They went back to doing what they were uniquely good at, the thing no wagon could do. They pushed the edge of the empire forward.
That's the frame worth borrowing.
AI handles the cart. Your people push the edge.
The businesses that understand that distinction, right now, in this particular moment of disruption and fear and noise, are the ones who are going to look back on this period the way the smart carriage makers looked back on 1908. Not as the thing that almost ended them. As the moment everything opened up.
Change is coming whether you're ready or not. The only real question is which side of it you want to be on.
If you're not sure where to start, I built a free Business Modernization Assessment for exactly this. Five minutes. Gives you a clear picture of what's actually worth doing, and what isn't. Take the assessment here.
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