Most of the World Has Never Touched AI. That Sounds Crazy to Me.

Sounds Crazy

8:19

Somewhere around 84% of the world's population has never used an AI tool. Not once. And that is the real story — but I have to be honest with you, it also just sounds crazy to me. Like, genuinely. We have access to something that can think alongside us, that can help us navigate the most complicated moments of our lives, that can make us smarter and faster and more capable at almost anything we put in front of it — and most people have just... not tried it.

I don't say that to judge anyone. I say it because I find it fascinating and a little heartbreaking at the same time. Because this should be a no-brainer. This should be the thing where people go, oh, we have AI now? Obviously. Why wouldn't I use that? But it's not landing that way. And I've been trying to figure out why.

The Literacy Gap Nobody's Talking About

Every major technological transition in history has had two phases: the invention, and the education.

Steam power didn't transform civilization the moment James Watt built the engine. It transformed civilization when enough people understood it, applied it, and built institutions around it. Electricity didn't change daily life when Edison lit up a bulb. It changed daily life when electricians were trained, when buildings were wired, when the concept of "power grid" became something ordinary people understood well enough to just rely on.

We are deep in phase one of AI. We are barely in phase two.

The tools exist. The capability is extraordinary. In many respects, the technology has already crossed the threshold — the people building it will tell you it has essentially already happened. But the human infrastructure to receive it, understand it, and use it with any kind of fluency? That is still almost entirely absent. And unlike electricity or steam, the gap between those who can use this well and those who can't isn't a gap in physical access. It's a gap in understanding. In comfort. In vocabulary. In the basic mental models that make any technology feel usable rather than alien. That's a different problem. And it needs a different solution.

Why Fear Is the Wrong Diagnosis

The instinct, when people hear "84% haven't used AI," is to assume the solution is access. Better internet. Cheaper devices. More availability.

That's not it. The people who have access and still won't touch it aren't being held back by infrastructure. They're being held back by something harder to fix: they don't know what it is, they don't know what it's for, and they have a growing pile of scary headlines telling them it's coming for their job, their privacy, their kids, and possibly the future of the species.

That is a genuinely difficult place to learn from. Think about the last time you tried to learn something while you were afraid of it. The anxiety collapses your curiosity. You don't explore — you brace. You don't ask questions — you look for reasons to confirm your fear and step back.

And look, the people who are afraid aren't irrational. The concerns are real. Job displacement is real. The pace of change is genuinely disorienting, especially if you spent decades developing expertise that now feels under threat. I get it.

The fear makes sense. The response to the fear — avoidance — is the problem. Because the less you understand something, the more frightening it becomes. And the more frightening it becomes, the less you engage with it. It's a loop. And nobody is building the off-ramp.

That's what I think about when I see that 84% number. It's not just a statistic. It's a loop that's running, unchecked, in real time.

What Fluency Actually Means

Here's what I've watched happen — and I work in this space, so I've seen it more times than I can count: the moment someone actually understands what AI is and what it isn't, the fear doesn't just shrink. It inverts.

It becomes curiosity. Then engagement. Then, in most cases, something close to wonder. That shift doesn't require a computer science degree. It doesn't require understanding how transformers work or what's happening inside a neural network. It requires something much simpler: understanding what this tool can do for you, specifically, in the context of your actual life and your actual work. It's knowing how to ask a good question. Understanding that the quality of what you get back is directly tied to the quality of what you put in. Knowing when to trust it, when to push back, when to verify. Treating it less like a search engine you query and more like a thinking partner you brief. That's a thinking skill. Not a technical one. And thinking skills can be taught.

The problem is that nobody is teaching them at scale — and the people who most need to learn are the ones least likely to walk into any class with "AI" in the title. Which means we have to bring it to them. In language they recognize. With examples from their actual lives.

The Civilization-Level Stakes

Here's where I want to be direct, because I think the stakes get undersold even by the people who believe in this technology most.

Every major expansion of human capability has eventually reached everyone. Literacy. Numeracy. Access to information. Each of these, when they were new, was concentrated in the hands of a small group — and each time, the societies that democratized access fastest built the most durable advantage. The ones that moved too slowly fell behind in ways that took generations to recover from.

AI is the same transition. Just faster. And with higher stakes.

The 11-year-old who grows up AI-fluent will navigate the world with a cognitive augmentation that peers who weren't taught simply won't have. The professional who builds fluency now will operate at a level of output and decision quality that compounds over years while competitors are still debating whether to try it. The business that integrates this into its culture will look, in five years, like it had a ten-year head start.

This is the math of compounding advantage applied to a capability gap that is widening every single day. And it doesn't have to be this way. That 84% is not destiny. It's a measurement of a moment we are still inside — which means we can still change it.

The Off-Ramp Exists

I genuinely believe that most people, given a fair introduction to what AI actually is and what it can do for them personally, would feel the same thing I've watched others feel: relief. Possibility. That shift from fear to curiosity. Because this isn't complicated at its core. It's a tool that helps you think. That's it. It helps you draft the email you've been dreading. It helps you understand the medical report your doctor handed you. It helps you figure out what questions to ask the lawyer before you're sitting across from them billing by the hour. It helps you solve the problem at work that you've been quietly worried about for three weeks.

That should be a no-brainer. It really should. And the fact that it isn't yet — that 84% of the world is still on the outside looking in — isn't a failure of the technology. It's a failure of education. Of communication. Of treating fluency like a luxury when it's rapidly becoming a baseline.

Newton's problem was that he never found the philosopher's stone. Our problem is stranger: we found it, and most of the world doesn't know what to do with it yet. The technology is not the bottleneck anymore. Understanding is.