Every week, a new capability update. The labs are in an uncontrollable race. And whoever achieves AGI will dominate the world, or so the headline goes.
The reality is more nuanced.
Every major technology in history has triggered a moral panic. Bicycles. Television. The car. People fear rapid change, and AI is moving at a speed that makes all of those look slow. But there’s a critical difference this time: we’re not replacing how we move. We’re replacing how we think.
We are in the middle of a cognitive revolution. And the question isn’t whether AI will replace you. The question is whether you’ll let it think for you, or learn to use it to think like yourself, but sharper.
I’ve been building with AI since before it was cool
I’ve been a programmer for 25 years. I’ve been interested in AI since university. But in 2023, something shifted.
I was building a full AI application, calling the ChatGPT API directly, and I remember the exact moment it hit me, the level of reasoning I was getting back from a machine was something I hadn’t thought possible even twelve months earlier. I started using AI every single day. It became a thinking partner, a coding partner, a sounding board.
And then, quietly, something started to slip.
Two weeks in a yurt: No electricity, no escape
Last year, I spent two weeks in a yurt in Mongolia. No electricity. A small solar panel to barely keep my phone alive. No notifications. No doomscrolling. Just my own thoughts and an uncomfortable amount of silence.
It was disorienting in a way I didn’t expect.
After a few days, I realised I wasn’t sure where my own thinking ended, and the algorithmic output began. I had an inner voice that wanted to surface, insights, instincts, observations, but I was feeling confused at the same time. Had I actually thought this? Or had I absorbed it from a hundred ChatGPT sessions and a thousand social media posts or podcasts?
That discomfort became a signal worth following.
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Attention is the asset nobody is protecting
When I got back, I made one radical change: I carved out 45 minutes every day with no phone, no AI, no social media. Just my own thoughts and a place to write them down.
What I found surprised me. There was an enormous amount of unprocessed thinking inside me that had never been given space. It was being hijacked, first by social media, then by AI itself.
Microsoft’s 2023 research flagged that heavy AI reliance risks atrophying certain cognitive skills. The World Economic Forum’s 2025 Future of Jobs report identifies critical thinking and creativity as the most irreplaceable human skills going forward. And yet the average person now spends over seven hours a day on screens, much of it in passive consumption.
We are not strengthening our thinking. We are outsourcing it, and we’re doing it without noticing.
Attention is capital. The question is who you’re deploying it for.
AI as a mirror, not a vending machine
Most people use AI like a vending machine. You put in a prompt, you expect a polished answer. The problem is you get the AI’s internet training data average, not your own.
What I discovered, through deliberate experimentation, is a different configuration entirely: using AI as a cognitive mirror. Not asking it to generate answers, but to reflect back the thinking I had already produced independently.
The sequence matters enormously.
First, I write. Privately, without AI. I capture raw thought, unfiltered, unpolished, mine. Then I bring AI in to reflect patterns, surface blind spots, and push me to go deeper. The AI becomes an accelerant for my own generative engine, not a replacement for it.
The output is categorically different. When AI reflects your own thinking back to you, it stops feeling like a search engine and starts functioning like a rigorous thinking partner who actually knows your material.
Your own data is the most valuable asset you’re not building
Here’s the practical implication most people are missing.
AI is getting better at generating answers. But humans are getting worse at generating original questions, because we’ve stopped spending time alone with our own minds.
The discipline I built post-Mongolia is simple: produce your own data, independent of AI. Write down your observations and commit them to GitHub. Over time, it becomes a private repository for your mind, a record of how you think, what you notice, and what genuinely matters to you.
In a world increasingly shaped by generated content, preserving an uncompressed trail of your own thinking becomes an advantage.
This isn’t nostalgia for analogue life. It’s a strategic decision. The people who will navigate the AI era well are those who have a strong, legible relationship with their own thinking, and can use AI to amplify it rather than replace it.
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We are coming from a social media hangover
We are not ready for AI. Not because the technology is too advanced, but because we arrived here already depleted.
Our attention has been systematically harvested for over 14 years. We are arriving at the most cognitively demanding technological transition in human history in a weakened state, distracted, reactive, and heavily dependent on external validation loops.
AI is not the problem. But AI layered on top of an already-fragmented attention span is a compounding risk most people are ignoring.
The manifesto I had to write
Everything I’ve described here, the Mongolia reset, the attention discipline, the AI mirror framework, the practice of generating your own cognitive data, became the foundation of a book I had to write.
I called it Attention OS: a practical manifesto for anyone who wants to defend their independent thinking, upgrade how they use AI, and build a sustainable human-AI interface that actually works for them.
The core provocation is simple: what if you stopped asking AI for answers, and used it to map how you already think?
It’s not anti-AI. I use AI every day and consider it one of the most powerful tools I’ve ever had access to. But a tool is only as good as the person wielding it. And right now, most of us are being wielded by the tool.
The question worth sitting with
AI is already inside your head, whether you’ve noticed or not.
The talent reset everyone is talking about isn’t just about which skills survive automation. It’s about whether you’ve maintained a strong enough connection to your own thinking to remain the author of your own decisions.
That’s not a technology question. That’s a human question.
And the time to answer it is before the default answer gets chosen for you.
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