Richard Golian

1995-born. Charles University alum. Head of Performance at Mixit. 10+ years in marketing and data.

Castellano Français Slovenčina

Manage subscription Choose a plan

RSS
Newsletter
New articles to your inbox
Richard Golian

Article

AI and Cognitive Atrophy: What Happens When We Outsource Thinking

How cognitive offloading to AI could quietly erode our everyday mental effort, while a voluntary minority keeps its mental fitness by choice.
Richard Golian
Richard Golian · 1 988 reads
Hi, I am Richard. On this blog, I share thoughts, personal stories, findings and what I am working on. I hope this article brings you some value.

What Machines Did to Physical Labour

I recently heard an idea about the future that lodged itself in my mind and has not left since. It was about artificial intelligence and how it might reshape our need for mental effort. The thought came wrapped in an analogy from the past, what happened to physical labour when machines took over. We once had to be strong, fast, and alert just to survive, to hunt, to plant, to harvest. If you were not physically capable, you did not eat. Today, hardly anyone needs that ability. We are not out there hunting mammoths. Most people consume whatever the modern world offers, processed food stripped of real nutritional value. And only a small group voluntarily keeps their bodies in shape, out of an internal need. They go running, exercise, hike, even though survival no longer requires it.

Cognitive Offloading: What AI May Do to Thinking

And the idea that struck me is this: the same thing might happen to our mental world. We are entering an era where we may no longer need to know, understand, analyse, think, or create solutions, at least not to survive or fulfil our basic needs. AI will do it for us. And if we truly reach a point where, thanks to technology and automation, we no longer have to stretch our minds to meet our everyday needs, then the same story is likely to repeat itself. Most people will slip into a comfortable state of mental passivity, consuming rather than thinking.

Use It or Lose It: Mental Fitness and the Voluntary Minority

And only a few will choose to keep their minds in shape, reading, studying, creating, thinking, solving complex problems. Not because they have to, but because they want to.

It is a strange feeling. I have not fully processed it yet. Some might say we are already seeing this unfold. But I think what we are seeing now is just a faint preview of what is coming, and what is coming is still hard to imagine.

Summary

Machines eliminated the need for physical strength. AI may eliminate the need for mental effort. Most people will adopt mental passivity, consuming rather than thinking. A voluntary minority will maintain intellectual rigour. Not from necessity, but from internal motivation.

Common questions on this article's topic

What is the analogy between machines replacing physical labour and AI replacing mental effort?
Machines eliminated the need for physical strength to survive. We no longer hunt, harvest, or build by hand. Most people stopped maintaining their bodies, and only a voluntary minority exercises out of internal motivation. In the article, the same trajectory is predicted for mental effort: AI may eliminate the need to think, analyse, or create solutions to meet basic needs. Most people will adopt mental passivity. A small minority will choose to keep their minds sharp, not because they must, but because they want to.
Will AI make human thinking unnecessary?
For basic survival and everyday needs, possibly yes. AI can already handle analysis, problem-solving, content creation, and decision support faster than most humans. In the article, the concern is not that thinking will become impossible but that it will become optional, and most people will opt out. Research on cognitive offloading confirms this pattern: when external tools handle cognitive tasks, people invest less effort in developing those abilities independently.
Is mental passivity already happening?
In the article, the observation is that early signs are already visible, but what we see now is described as just a faint preview of what is coming. People increasingly consume pre-packaged opinions rather than forming their own, rely on AI for tasks they once did manually, and spend less time in sustained analytical thought. Research shows that heavy digital device users demonstrate diminished capacity for deep information processing.
What can individuals do to maintain mental fitness in the age of AI?
The article does not offer a programme but implies the answer through analogy: just as some people voluntarily run, exercise, and hike despite not needing physical strength to survive, maintaining mental fitness will require a conscious choice to read, study, create, think, and solve complex problems. The motivation must be internal, because external pressure to think deeply may largely disappear.
What is cognitive offloading?
Cognitive offloading is the habit of using external tools, notes, search engines, or now AI, to perform mental tasks instead of doing them in your own head. It is not new; writing and calculators were early examples. The concern raised in this article is one of degree: when a tool as capable as AI can handle analysis, memory, and problem solving on our behalf, the amount we offload may grow so large that we stop exercising those abilities at all.
What is cognitive atrophy?
Cognitive atrophy describes the weakening of mental abilities that are no longer regularly used, by analogy with muscles that shrink without exercise. This article frames it through the same lens as physical decline: once survival no longer forces us to think hard, most people may let the underused capacity fade, while a minority keeps it sharp on purpose.
Does relying on AI make us lazier or dumber?
Not automatically, but it removes the pressure that once forced us to think. This article argues that the real risk is not stupidity imposed from outside but mental passivity chosen by default: when AI makes effort optional, most people opt out, in the same way most people stopped training their bodies once machines removed the need for physical strength. Popular terms like brain rot capture the worry, but the deeper issue is the quiet disappearance of any reason to practise.
Does the 'use it or lose it' principle apply to the brain?
That assumption sits at the heart of this article. Just as physical strength fades without exercise, the ability to analyse, concentrate, and solve complex problems is treated here as something that must be practised to be preserved. If AI removes the everyday need to use those skills, maintaining mental fitness becomes a deliberate choice rather than a byproduct of survival.
Richard Golian

If you have any thoughts, questions, or feedback, feel free to drop me a message at mail@richardgolian.com.

NEWSLETTER
What I write about, what I am working on, what I learned.
Sent the first Sunday of the month. Unsubscribe anytime.

Related articles

What Will Have Value in the AI Era

When you hear that artificial intelligence still does not deliver good enough output, that it is unusable for certain tasks, it is worth realising that this may no longer be true today. And even if it were, the most intelligent minds on this planet are working on making AI more useful. Most work activities will be automated. To understand where this is heading, some questions have to be asked.

27 August 2026·754 reads
How to Start With AI in a Company

One of my family members described a firm that has its data in several different tools, and its employees still join it by hand, in spreadsheets. That is the ordinary state of firms. When somebody tells such people not to do it by hand and to use AI, they will not understand. Most firms do not even have the basic connectors between the tools they use. These firms need help with AI transformation.

12 August 2026·856 reads
Why AI adoption fails

Employees have the best AI models available at work, the connectors are hooked up, and colleagues already use them. And they still do not. AI adoption fails even when the tools are already there. It is not about time or AI skills. It is the inertia of old thinking.

25 July 2026·897 reads

More articles

What should I study in the age of AI? What should I major in? Does a degree still make sense?

The development of artificial intelligence changes how we look at which paths in life make sense. Which studies and which profession to choose.

4 October 2026·143 reads
I Left My Job for Several Months to Read Philosophy

It was Thursday, 31 March 2022, when I handed over the last of my responsibilities to my colleagues, closed my laptop and went to the library. I left my job for several months and immersed myself in philosophy. And I am immensely grateful for it. Today I am, like most people, on a merry-go-round, and it is hard for me to stop and think about the fundamental questions of my own life.

28 September 2026·463 reads
How I Fell in Love With Her, at First Sight

It was September 2023. My life, my work, everything was completely different from now. It was simpler. I owned almost nothing. I needed to film an advert, I went up to a floor inside the company where the product I needed for that advert was, and there I noticed her for the first time. She laughs at me when I describe it like this, but at that moment the universe told me, that is her.

20 September 2026·663 reads
How to stop depending on social media, and what the IndieWeb is

How and why I am gradually leaving social media and the big platforms. When I read that Meta is testing a new way to charge for organic posts that link outside its platform, it confirms how right I was to become steadily less dependent on the big platforms and on social media. It does not mean I have left them completely. It means that whether or not I stay in touch with my readers depends on them less and less, and today almost not at all.

9 September 2026·724 reads
Fable 5 vs Opus: the cheaper model won

The same task, two models. Fable 5 against Opus 4.8. On paper Fable is the better model, with a larger context and stronger specs. And still it lost. Opus handled the task with a single round of checking for 721,000 tokens, while Fable needed nine rounds and burnt through 2.78 million tokens. The difference was not in the model, but in how I set the task. And I know it, because I measured it.

22 July 2026·1 147 reads
I Ran Object Detection on My Laptop, and Saw Everything Is Possible

A few weeks ago I installed a small local AI model on my laptop that watches a live camera feed. I turned the webcam on in the dark, and in near total darkness it recognised me and the objects in the room. That such things exist, I have known for a long time. What opened my eyes was the accessibility. I installed it in one prompt, free, and it runs entirely on my machine, sending data nowhere.

15 July 2026·799 reads
My blog is full of bots and AI agents

I once wrote about building my own privacy-friendly analytics tool. It had bot detection from the first version, yet it was not enough. Direct visits took a strangely high share of my traffic. When someone claims that 20% of their visits are bots and 80% are humans, I used to think the same. Today I would say the opposite ratio is closer to the truth. This is how I got there.

6 July 2026·2 432 reads
Dependent on AI: Are We Still Masters, or Slaves?

I have Heidegger and my notebook beside me. I am asking where all of this is heading, where artificial intelligence is taking us.

21 June 2026·1 434 reads
Which Work Will AI Not Replace?

Seventy per cent. That is where the first AI output begins, even when you give it the full company context and the best examples from the past. We are talking about the kind of output that cannot be defined programmatically. It is more complex. Often it is creative work. On one repeated type of output I reached eighty per cent within a week. Every further percentage point is harder than the one before.

10 June 2026·1 054 reads
All in on AI agents, or an analogue life.

Four days in Catalonia. No computer, no AI, almost no social media. I bought this notebook so that I could write down what I would think about, and what I would come across and learn on the trip.

10.5.2026·1 750 reads
NEWSLETTER
What I write about, what I am working on, what I learned.
Sent the first Sunday of the month. Unsubscribe anytime.