Between Colombia and Spain, that's 28 million people. And the labor side of that market is broken in a measurable way. In Spain, 755,500 people over 50 were unemployed at the close of 2025 — 30% of all unemployed people in the country, according to the Labor Force Survey. More than half are long-term unemployed. Among those over 55, 59% have been looking for more than twelve months, and 38% for more than three years. Three years. That's no longer a transition. It's an expulsion.
In Colombia the fracture takes a different shape, because here the problem isn't just losing your job — it's ending up with nothing. Colpensiones was paying 1,899,450 pensions in March 2026, against 8.1 million people 60 or older. Even adding in the pensioners from the private funds, the size of the gap doesn't change: most Colombians who reach old age get there without a pension. For them, "preparing for the second half" isn't a personal-growth exercise. It's the only source of income they're going to have.
And now the number that reordered my thinking. According to the INE's mortality tables, a 55-year-old in Spain has, on average, 30.6 years of life left. At 57, still 28.8. Read that again, because it's the whole sentence: I, today, have more time ahead of me than I've spent practicing my profession. And that's with 2026 medicine, without counting what the next twenty years of biotechnology are going to do.
They pulled us out of the game at halftime and told us it was over.
This isn't your fault. It's the pyramid.
It's worth saying clearly, because almost everyone in that situation lives it as a personal failure: what happened to you isn't that you became obsolete. It's that you're standing on a tectonic plate that shifted.
Birth rates collapsed across the West and aren't going to bounce back any time soon. Colombia is at 1.7 children per woman; Spain and Italy hover around 1.2 and 1.3, far below replacement level. The arithmetic consequence is unavoidable: fewer and fewer contributors supporting more and more pensioners, for more and more years, because we're also living longer. No pension system in the world was designed for that combination, and everyone knows it. I already worked through this in detail in AI Is Not Coming for Your Kids. It's Coming for Your Pyramid., so here the conclusion is enough: the equation doesn't get fixed by us holding on a little longer or retiring a little later. The equation is wrong.
And that's where, as El Chapulín Colorado used to say — and if you got that reference, this article is for you — you look around and ask: and now, who will defend us?
The turn: AI is the first tool that amplifies what we have in abundance
Here's my hypothesis, and it's the heart of everything I'm building.
The first thing we lose as we age is the physical. Strength, speed, stamina, the ability to pull three all-nighters in a row without consequences. For all of human history, that alone was enough to push us out of the market, because economic value was tied to the body or to execution speed.
But what doesn't go away — what actually keeps growing — is the other thing: judgment, the ability to tell the important from the urgent, accumulated experience, reading people, intuition trained by three hundred of your own mistakes. That's the asset that ages backwards: it appreciates.
And it turns out artificial intelligence is, literally, a cognitive tool. It's the first technology in history that doesn't amplify muscle or machine speed: it amplifies thinking. It doesn't replace judgment — it needs it. An AI model without someone who knows what to ask it, what to discard from its answer and what to do with it is a plausible text generator. With someone who has thirty years in the trade behind them, it's an entire team.
Put as bluntly as possible: AI strips value from cheap execution, which is what a young person can offer in abundance, and gives value back to scarce judgment, the one thing that can't be sped up. There's no shortcut to having thirty years of experience. There's only one way to get it, and that's to have lived them.
It isn't consolation. It's what the market is already saying.
I could stop at the nice metaphor, but that would be exactly the kind of thing I've spent thirteen years helping my clients not buy. So let's look at the data.
PwC's 2026 Global AI Jobs Barometer, built on the analysis of more than one billion job postings across six continents, found three things that, read together, demolish the narrative of the discard:
- Junior roles most exposed to AI are seven times more likely to require traditionally senior skills — leadership, strategic thinking, people management — than junior roles less exposed to it.
- The new tasks AI adds to roles are 2.5 times more likely to depend on empathy, judgment and creativity, precisely because AI absorbed the routine part.
- Roles AI "professionalizes" — where it automates the mechanical part and leaves judgment to the human — grow at twice the rate in number of openings, with 42% faster wage growth, than the roles AI "democratizes."
Translation: the market is raising the price of judgment and lowering the price of execution. It's asking twenty-five-year-olds to have the skills of fifty-year-olds. We already have them. What we're missing is the other half of the equation — the tool — and that part can actually be learned.
And on entrepreneurship, which is the first natural exit for almost everyone, there's a data point that should be posted at the door of every incubator. The study "Age and High-Growth Entrepreneurship" — Azoulay, Jones, Kim and Miranda, using U.S. Census administrative data on 2.7 million founders — found that the average founder age among the fastest-growing 0.1% of companies is 45, and that a 50-year-old founder is roughly twice as likely to build an exceptionally high-growth company as a 30-year-old. The strongest predictor of success isn't youth or energy: it's prior experience in that specific industry.
The myth of the twenty-three-year-old genius in a garage is, statistically, a magazine-cover anecdote.
How I think this is going to play out: two stages
The first stage has already started, and it's entrepreneurship. It's what almost all of us do when the phone stops ringing: set up something of our own, consulting, a product, advisory work. The difference from five years ago is that a senior professional amplified by a well-built AI system can produce, alone, the output that used to require a small firm: proposals, analysis, research, sales follow-up, deliverables. The ceiling stopped being how many hours your body can take.
The second stage is a hypothesis of mine, and I state it as one: I believe companies are going to start buying wisdom again very soon, but outside the employment contract. They aren't going to put the 58-year-old executive back on payroll — that door was closed for reasons of cost, legal protection and prejudice, and it isn't reopening. They're going to buy days, projects, advice, a retainer, a fraction of leadership from that same person. Because the math became irresistible to them: an amplified senior hands them thirty years of judgment and a team's output, without the cost or the commitment of a team. I'm already seeing the first signs of this in my own practice.
In both stages, the entry condition is the same: having the system. Not "knowing how to use ChatGPT" — everyone does that and it doesn't move the needle. Having a persistent system that knows your context, accumulates your memory, and executes alongside you.
What I built, and why
Two years ago I started building my own. I called it Satori.
It wasn't elegant. It started with six weekends without seeing daylight, pouring my methodology into a book an AI could read, and continued with two years of daily practice. But what came out of it changed my professional life in a way I still struggle to explain without sounding exaggerated: it's a system that lives on my computer, knows who I am, knows my clients, remembers every meeting, every decision and every document I've produced, and works with me every day.
Concretely: my productivity multiplied; my reach stopped being limited by my hours; the depth of my work went up because I can research in an afternoon what used to take weeks; my memory stopped being a bottleneck — the system remembers everything for me, precisely; and my ability to help other people became immediate instead of scheduled.
Satori didn't make me younger. It made me bigger. Which is what you want at 56.
That's why the Camp
That's where one of the missions I care most about today came from: bringing this to my own generation. Not to the twenty-five-year-old digital natives, who are going to work it out on their own. To those of us who are fifty, fifty-five, sixty; thirty years in the trade in our heads and the uncomfortable feeling that the world closed without us.
Satori Camp is the first step: eight live sessions where you don't learn about artificial intelligence — you walk out operating your own. No coding, no theory, no certificate. With a system running on your computer, loaded with your context, your experience and your judgment.
It isn't a course. It's the tool that finally lets the part of you that doesn't age go back to producing at the scale it deserves.
Closing
We are 28 million between Colombia and Spain. We have thirty years in the trade, nearly three decades of life ahead of us, and a market that has just started paying a higher price for exactly what we know how to do. The only thing we were missing was the tool, and it's already here.
So to El Chapulín's question — and now, who will defend us? — the answer turns out to be uncomfortably simple: we will, amplified.
They didn't count on our cunning.
Sources: DANE — Population projections (in Spanish) · INE — Continuous Population Statistics (in Spanish) · INE — Mortality tables (in Spanish) · Colpensiones — Key figures, March 2026 (in Spanish) · PwC — 2026 Global AI Jobs Barometer · Azoulay, Jones, Kim & Miranda — Age and High-Growth Entrepreneurship (NBER)
—Aurelio
