Why so many people fear AI, and why that's normal

The fear is legitimate

Over the last few months, almost every conversation where someone finds out I work in technology ends with the same question: “is this artificial intelligence thing going to take my job?”. Sometimes it comes as a joke. Often, it doesn’t.

And I get it. In a short time, AI walked out of the movies and into our phones, our jobs, our kids’ schools and the daily news. Half the headlines promise paradise. The other half announce the end of the world. In between, there’s a feeling that everything is changing too fast and that nobody has properly explained what is going on.

This blog exists to give that explanation. No course to sell, no miracle to promise, no one to scare. The idea is simple: trade a vague fear for a clear understanding. And the first step is to say something few people say. Feeling afraid of a technology like this is normal, it is human, and it is very, very old.

Why our brains react this way

The fear of AI doesn’t come out of nowhere. It combines a few mechanisms every human knows well.

The unknown scares us more than known danger. We handle a problem we understand better than a black box. And for most people, AI is exactly that: a closed box that answers questions, writes text and creates images without anyone quite knowing how. That is no accident in the name of this blog, OpenBox. The goal is to open that box, one piece at a time.

The feeling of losing control. Many people feel that huge decisions about the future are being made by a handful of companies, in other countries, without asking anyone. That feeling has real grounds, and we’ll talk about it calmly later in the series.

The threat to our place in the world. For centuries, writing, drawing and conversation seemed uniquely human. When a machine does them, the fear goes beyond losing a job. It’s the fear of no longer being needed, of losing a place we thought was ours alone.

Bad news gets more attention. Alarmist headlines get more clicks than balanced ones. That doesn’t mean every warning is exaggerated, but it does mean the volume of the alarm doesn’t always match the size of the problem.

We’ve been here before

Every major technology in history arrived together with fear. But beware the easy version of this story, the one that says “people were always afraid and in the end everything turned out fine”. It is comforting, and it is false. The honest version is more interesting: the fears were almost never completely wrong. They usually got the size and the shape wrong.

Writing. Almost 2,400 years ago, in Plato’s dialogue Phaedrus, Socrates tells a story in which an Egyptian king rejects the invention of writing. His argument: whoever trusts written text will stop exercising memory and will seem wise without being wise. He had a point. Today we memorize far less than oral cultures did. In exchange, we got libraries, science and the chance to learn from people who died centuries ago.

Gutenberg’s press. When printed books multiplied across Europe in the sixteenth century, scholars complained about the excess. The Swiss scholar Conrad Gessner, for example, worried about the confusing and harmful abundance of books in circulation. Swap “books” for “posts” and the complaint could have been written yesterday.

The Luddites. Between 1811 and 1816, textile workers in England broke into factories and smashed machines. For a long time, “Luddite” became shorthand for backward people afraid of technology. The real story is different. They were skilled craftsmen who watched their income collapse with mechanization, and many never recovered. Society as a whole grew richer in the decades that followed. But those caught in the middle of the transition paid a high price. Keep this example in mind, because it speaks directly to today’s fear.

The elevator without an operator. Automatic elevators existed for decades before people trusted them. Stepping into a metal box with no human operator felt too risky. Trust came slowly, with emergency buttons, phones inside the car and plain habit. No technology gets adopted just because it works. It gets adopted when people understand it and trust it.

Google. In 2008, writer Nicholas Carr published an essay in The Atlantic that became famous for the question in its title: is Google making us stupid? The debate about how the internet affects our attention and memory is still open today. And it’s fine to say so.

The pattern repeats. The fear pointed at something real. The change happened anyway. And those who did best were the ones who understood the change early and prepared for it.

So is it just another wave? Not quite

It would be easy to stop here and say AI is just another new technology and the fear will pass. But that would be dishonest. There are real differences between this change and the earlier ones, and you deserve to know them.

Speed. ChatGPT launched at the end of 2022 and, according to estimates widely reported in early 2023, reached around 100 million users in roughly two months. No consumer technology had ever spread that fast. Electricity and the telephone took decades to reach most homes. That leaves people far less time to adapt.

It touches intellectual work. The machines of the past mostly replaced physical strength and repetitive tasks. Today’s AI writes, summarizes, analyzes, translates and creates. That is why it scares professions that, until recently, felt completely safe.

It talks like a person. A calculator never seemed like a person. An AI that answers in natural, polite and even witty sentences confuses our intuition: it feels like someone is on the other side. Later in the series, we’ll look at what actually happens in there.

Not even the experts agree. Serious people who have studied the subject for decades disagree about how fast and how big the impact will be. Some think we are overestimating AI. Others think we are underestimating it. Be wary of anyone who talks about AI’s future with absolute certainty, for better or for worse.

Fear is not panic

If the differences are real, does the fear make sense? It does. But there’s an important difference between fear and panic.

Fear informs. It makes us pay attention, look for information, protect ourselves and prepare. Fear is what makes someone learn to spot a scam before falling for it.

Panic paralyzes. It makes us avoid the subject, believe any headline or give up before trying to understand. Panic protects no one. It only makes people more vulnerable, because whoever doesn’t understand something ends up in the hands of whoever claims to.

The goal of this series is to keep the attention and drop the panic. To look at AI with curiosity and critical sense at the same time, without worshipping it and without demonizing it.

What’s ahead

This is the first post of a series I’m calling No Panic. It follows a path designed for people who never studied technology.

First, we’ll understand how AI works inside, with no formulas and no jargon. Then we’ll look clearly at what it does well and where it fails badly. After that, we’ll talk about what worries people most: work, scams, privacy, the effects on society and the environment, and the risks that truly deserve attention. Along the way, we’ll practice a skill worth more than any tool: critical thinking.

You don’t need to know anything about technology to follow along. You only need a little curiosity.

What we know and what we don’t know yet

What we know:

Major technologies have always caused fear, and some of those fears came true.
Technological transitions tend to bring gains for society as a whole and real losses for those caught in the middle.
Today’s AI is spreading faster than any previous consumer technology.
Unlike the machines of the past, it affects intellectual tasks, not only physical ones.

What we don’t know yet:

How fast AI will change the job market.
Which professions will change the most and which the least.
How governments and companies will regulate AI in the coming years.

This week’s exercise

Grab a piece of paper or open the notes app on your phone and write, in a single sentence, your biggest worry about artificial intelligence today. It doesn’t need to be pretty or technical. It only needs to be honest.

Then keep that sentence. In the last post of this series, I’ll ask you to reread what you wrote today and compare it with what you think by the end. I wrote mine too, and I’ll publish it there.

See you in the next post, where we’ll answer the most basic question of all: what is artificial intelligence, after all?

Sources to check: Plato, Phaedrus (the myth of Theuth and Thamus); Conrad Gessner, Bibliotheca universalis (1545); on the Luddites, any good history of the Industrial Revolution in England; Nicholas Carr, “Is Google Making Us Stupid?”, The Atlantic, July/August 2008; on ChatGPT’s 100 million users, the UBS estimate reported by Reuters in February 2023.