In our house, critical thinking was never about being the smartest person in the room. It came down to a single question, asked over and over until it became a habit: who made what I am looking at, and what did they leave out?

We used to watch a show about repo men taking cars back while the owners supposedly had no idea it was happening. My kids loved it. But I noticed something. Some of the footage was shot from inside the house, from the family’s own point of view. So I would ask them: if these folks really do not know their car is being taken, who is holding the camera in their living room? The vantage point gave the whole thing away. It was staged to feel spontaneous. Once you see it, you cannot unsee it, and that is the point.

Then it got personal. My wife’s cousin, Ethan Zohn, won Survivor Africa. Before the season ever aired, he told me something I have never forgotten. They had enough footage, he said, to make him the hero, the villain, or anything in between. Same person, same season. The story would be whatever the edit decided it to be.

That is the whole game. Same raw material, any narrative they choose. And the only defense is the question. Who is doing the editing, and what got left on the cutting room floor?

The lesson scales up. Someone constructs almost everything you see. The camera angle. The edit. The headline. The feed. Noticing that is not paranoia, it is literacy. And I want to be careful here, because this is where a lot of people go wrong. The discipline is not to distrust everything and retreat into your own gut. That is just a different way of being fooled. The discipline is to ask who made this, what was left out, and whether the evidence actually holds, and then to hold your conclusion loosely until it earns your trust.

Here is what I have come to believe. This assault on our attention did not start with AI. It has been escalating for a while.

Reality TV was the first wave. It taught a generation to accept the edit as real, to watch something staged and feel like they were seeing life.

Then came the influencers. They live and die by validation. The product was never really the content, it was the appearance of a life worth envying, and the whole thing deflates the moment the posting stops. Fake it till you make it, performed for an audience that never sees behind it. The fear underneath it all is simple and human: that people will realize they are ordinary, just like the rest of us.

Now comes AI, and it is the most dangerous of the three. Reality TV and influencers still showed you a person you could learn to read. There was a tell if you looked for it. AI removes even that. It is instant, endless, and personal. There is no camera angle to catch, and no one behind it. It does not just edit reality. It manufactures it, and hands it to you finished, so you never think to ask.

And I think there is a reason the people who most need to slow down will be the first to embrace it. AI never raises an eyebrow. It never asks if this is real, or if it is enough. It just affirms, and makes more. For anyone whose whole engine runs on validation, that is not a tool. It is oxygen. Which is the trap in a sentence: friction is what protects you from your own worst ideas, and the people who need that pause the most are the ones most eager to delete it.

So I keep coming back to the lesson from the living room. Do not accept the edit just because it is smooth. Ask who made it. Ask what is missing. Then decide for yourself. That habit protected my kids from a staged repo show, and it is the same habit that will protect all of us from a machine that can stage anything.

The machine generates. The thinker decides.

This is part of Notes from The Amplified Mind. The book arrives August 2026

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The failed drafts. The arguments you lost. The answers you had to dig for because no one handed them to you. It felt like the work was getting in the way of the learning. It wasn’t. The struggle was the learning. That resistance, the effort of holding a hard problem in your head until it gave way, is where the skill actually forms.

AI removes the friction. You ask, and a confident, fluent answer appears in seconds. No struggle, no dead ends, nothing to push against. For someone who already built the skill, that is a convenience. For a mind still forming it, there is nothing left to build on.

This is not a hunch. It is starting to show up in the research.

In a study of 666 people, published in the journal Societies in 2025, heavier use of AI tools tracked with weaker critical thinking, an effect the author linked to cognitive offloading, the habit of letting a device carry the mental load. The youngest participants were the most dependent on the tools and scored the lowest. It is correlational, so it shows an association rather than proof of cause, but the direction is hard to ignore.

A brain-imaging study out of the MIT Media Lab in 2025 put a finer point on it. Writers using an AI assistant showed the weakest brain connectivity of any group in the study, and many could not accurately quote the work they had just produced. The researchers called it cognitive debt. It is a preprint, not yet peer reviewed, and even the lead author has pushed back on the more breathless “brain rot” headlines. But the picture it paints is sobering: the less your brain does, the less it seems to engage.

And it is not only about accuracy. A 2024 study in Science Advances found that AI can make an individual’s writing more creative while making everyone’s writing more alike. Lift one person up, flatten the group. Fluency without friction does not just dull your thinking. It can quietly homogenize it.

You do not have to go to a lab to see the shape of the problem. Look at the lawyers. Across more than 1,400 documented court cases now, attorneys have filed legal citations that AI simply invented, rulings that never existed. A judge who actually knows the law spots the fabrication in seconds. The lawyer who trusted the fluent answer cannot, because they never built, or never used, the judgment to check it. That is the whole risk in miniature. The tool produced something polished and wrong, and the human had outsourced the one job that mattered.

Here is the part I want to be careful about, because it is easy to overstate. None of this proves that a generation raised on AI will be unable to think. It is a risk, drawn from what the data already shows about today’s youngest users and from everything we know about how skills are built. But it is a risk worth taking seriously now, while these habits are still forming, rather than after.

The answer is not to ban the tool. It is to keep the friction on purpose. Do the hard part yourself first, then let the machine help. Question what it gives you. Verify it. Decide for yourself. That is a choice you can make every single day, and it is the difference between a tool that sharpens your thinking and one that quietly stands in for it.

The machine generates. The thinker decides.

This is part of Notes from The Amplified Mind, a series I am running in the months before the book comes out. The Amplified Mind arrives August 2026

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An international survey run through the EHEAII project asked 453 educators, across 61 institutions in more than 20 countries, what concerns them most about artificial intelligence in their work. The response at the top of the list was not plagiarism, and it was not academic dishonesty. It was the loss of critical thinking. Close behind came over-reliance on the tools and students turning in AI-generated work they did not actually understand.

If you teach, or you have a kid in school, none of that will surprise you. You are already watching it happen.

I spent thirty-six years in the fire service before I wrote a word about any of this. One lesson held the entire time. The tool is never the problem. The discipline of the person using it is. A hose, a ladder, a thermal camera, none of them think for you. AI is no different. It will generate all day long. Whether you stay the one who decides is up to you.

That is the whole reason I wrote The Amplified Mind. AI does not weaken thinking. Outsourcing the thinking does. The machine generates. The thinker decides.

What struck me most about the survey was not the fear itself, but the second finding sitting quietly underneath it. Many of those same educators said their institutions have not given them clear guidance or practical training on using AI well, and that they want exactly that. So the people closest to the problem can see it coming, and they are asking for a method. Not a ban, not a lecture about what students cannot do, but a way to use these tools without handing over their judgment.

That gap is the whole opportunity. The instinct to police misuse is understandable, but it misses the deeper issue. You can catch a fabricated citation. You cannot catch a student who has quietly stopped thinking for themselves, because there is nothing to flag. The work looks finished. It is the process behind it that went missing.

So the answer is not to keep AI out of the room. That ship has sailed, and pretending otherwise just leaves people undefended. The answer is to give students, and the rest of us, a durable habit of mind: ask who made this, ask what it left out, and decide for yourself before you accept it. That habit is learnable. It is also the one thing a fluent, confident machine is happy to let you skip.

This is the first in a series I am calling Notes from The Amplified Mind, where I work through the ideas in the book one at a time in the months before it comes out. If the survey finding stayed with you the way it stayed with me, you are already asking the right question.

The Amplified Mind, thinking clearly in the age of AI, arrives August 2026

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Not metaphorical fires. Real ones. The kind where the building is coming down and the information is incomplete and the decision has to be made right now with what you have.

That career gave me an unusual way of thinking about judgment. About what it means to act under uncertainty. About the difference between knowing something and being able to look it up. About what happens to human reasoning when the tools get good enough to do the hard thinking for you.

I watched that last one happen in real time in emergency medicine. Protocol-driven training quietly moved the generative stage of clinical reasoning outside the practitioner’s mind. The protocols reduced certain kinds of error. They introduced others. The ones they introduced were invisible because the protocol was followed correctly. Nobody was doing anything wrong. The system just gradually became the author of the thinking.

I watched it happen again when I moved into the energy storage industry. Polished, confident content arriving on LinkedIn alongside professionals who could not hold a conversation about what they had just published. The em dash epidemic, as I came to think of it, was the least of it.

I wrote a book about what I saw. It is called The Amplified Mind: Thinking Clearly in the Age of AI. It argues one thing clearly. Human intelligence in the presence of AI is determined not by the capabilities of the system but by the discipline of the thinker.

A publisher reached out earlier this year and expressed interest. They saw something in the book that, in their view, has not been addressed or explained with this kind of clarity before. That meant something to me.

So I made a decision that felt familiar. The same one I made every time I walked into a burning building.

Do it right. Not fast. Right.

The book launches in August. This newsletter is where I will think out loud between now and then, and after. About independent thinking. About what AI actually costs professionals who use it without discipline. About what it still means to generate an idea rather than approve one.

If that sounds like a conversation worth having, you are in the right place.

The machine generates. The thinker decides.

Paul F. Alden