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The year is 2026. The cost of intelligence is falling ~40× per year.
This is not another AI headline. It is a map — for people who would rather understand the storm than pretend it is not there. Abundance and shadow. Economics and meaning. No geek hype, no doomer panic.
Honestly. Nobody is watching, nothing is saved. Feelings about the turning are data, not weakness.
The same facts can be read as the end of the world — or as the beginning. Maturity starts where you can look through both lenses at once — and only then decide.
“The test of a first-rate intelligence is the ability to hold two opposed ideas in mind at the same time — and still retain the ability to function.” — F. S. Fitzgerald
Peter Diamandis described the trajectory of every exponential technology in six steps. Kodak walked it in 20 years. Music in 10. Intelligence is walking it before your eyes — faster than anything before.
When something gets 1000× cheaper, it does not “get cheaper” — it changes its category of being. It stops being a product and becomes air. The question of our era: what will we do with the air that intelligence has become?
None of this fell from the sky. Here are the heartbeats of the last dozen-plus years — notice how the gaps between them keep shrinking. This is what exponentiality looks like up close.
For those who do not want to build or change anything — they simply want to understand what everyone is talking about. No math, no jargon, no agenda.
A language model does one thing over and over: it guesses the next fragment of text. Click the word YOU would pick — the numbers are the model's “confidence”.
Abundance is not a religion — it is a hypothesis you can test. Welcome to the laboratory of the turning: things that already work in science, business and world-modelling. Filter, and find the one that lights up your eyes.
Reading about the turning is no substitute for five minutes with the tool itself. Each recipe is a ready-made prompt: copy it, paste it into any advanced model, fill in the [brackets] and watch what happens. These are fishing rods, not fish.
To name things is to tame them. Click a card to flip it. Every concept ends with the question: why is this your business.
INTERACTIVE DEBATE
It is 2032. Automation has produced an AI dividend: €25 billion a year to distribute. You have just been appointed minister of the future. Theory time is over — allocate real money. Every euro that goes one way is a euro that does not go the other.
TEST YOURSELF
Eight definitions, four options each. No grades — just a way to find out which cards are worth flipping one more time.
Every light casts a shadow. Whoever tells you only about abundance is selling you something. Whoever tells you only about doom — likewise. Here are three shadows a grown-up thinks about before making a plan.
“Hope is not the conviction that something will turn out well, but the certainty that something makes sense — regardless of how it turns out.” — Václav Havel
The objections you will hear at every family table and in every comment section. We take them seriously: first what is right about them, only then — what they miss. That is what a conversation looks like, as opposed to propaganda.
When machines take over earning, what remains for us is living. It sounds like a relief — and like an abyss. Philosophers thought about this long before GPT.
SAME WEEKS, TWO SETS OF DATA
Before the philosophy — the numbers. In a single month, two complete sets of data on work in the AI era came out. Both are true. This site's exercise: don't pick a column — hold both.
“The friction inside enterprises may be what saves the economy.” — Paul Roetzer
“Not everybody's gonna become an electrician.” — Mike Kaput
“AI changes the task, amplifies the purpose.” — Jensen Huang
“You can master a thousand AIs right now — you're the most valuable you'll ever be. A year from now, maybe they don't need you.” — Dave Blundin
Both columns describe the same world. The difference is whether you look at the economy or at the person who just lost their job. Maturity: see both — and only then decide what to fight for (section 04).
Labor — what we do to survive. Work — what leaves a lasting trace: an artefact, a house, a book. Action — what we do among people: we initiate, we promise, we begin new things.
AI automates the first, accelerates the second — and the third it cannot take over by definition, because action requires being someone, not something.
Frankl survived the camps and noticed: a human being can bear almost any “how” if they have their “why”. Meaning does not come with a job contract or with UBI — it comes from the answer you give life when it questions you.
The post-work world will not take your meaning away. But it will stop faking it for you. That is a bigger change than it seems.
People reported their deepest happiness not on holidays, but in moments of total absorption in a difficult, voluntary task. Flow requires a challenge just above your skills — and no machine can experience it for you.
The abundance economy is a flow economy: money stops being the bottleneck; the bottleneck becomes the courage to take on challenges.
The classic ikigai diagram has four circles: you love it / you are good at it / the world needs it / you get paid for it. In a world where the fourth circle is increasingly covered by the system (UBI? UBS? an AI dividend?), the centre of gravity shifts to the other three. This is not the end of ambition — it is the end of the alibi. “I do it for the money” stops being an answer to the question of who you are.
The argument about AI isn't only between geeks and doomers. In 2026, people who sell nothing in AI spoke up.
“Technology is never neutral.” AI “tends to amplify the power of those who already possess economic resources, expertise, and access to data.”
A call to “disarm AI” — to free it from monopolistic control. 43,000 words addressed to 1.3 billion people.
“The transition to the AI era will be one of the most turbulent times in human history. Unfortunately, right now, we are not preparing for it.”
A former optimist proposes “human-reserved” work and taxes on tokens and robots instead of on wages.
AI's future “looks more like sci-fi than history” — but not the post-scarcity of Banks's novels; rather Stephenson's “Diamond Age”.
A richer techno-elite, everyone else on a basic income, inequality persisting — because AI depends on scarce chips, electricity and rare earths.
Three different diagnoses, one shared question: who will own the abundance? Take it back to the minister simulator (section 04) — and to your own three questions above.
Eight decisions. Nine years. No answer is “right” — each one opens something and closes something, just like life. At the end you will meet your archetype of the turning.
A map without a first step is wallpaper. Here is a starting protocol — one move a day; none of them costs money, each one bends your trajectory.
The turning does not happen only in laboratories — it happens at tables, in kitchens and in team meetings. Three conversations that are coming for you sooner or later. Rehearsed, honest, manipulation-free.
This page is the map, not the territory. Here are the sources it draws from — podcasts, books, tools and studies. Pick them one at a time, not all at once: depth beats breadth.
What the visionaries and industry insiders see. Read it through both lenses — these are forecasts, not prophecies. Then come back to the map and test your own scenario.