Anyone working at a screen today calculates in a new reserve currency. Alongside the dollar, the euro, the renminbi, the hryvnia, or the ruble, a new unit has stepped forward — one that decides over mental productivity and digital power: the token. Whether we generate code with Claude or run analyses with Gemini, our allowance is measured in millions of tokens. But while this new measure of things flickers across our screens like weightless magic, one of the greatest miscalculations in human history is quietly unfolding in the background. We are mistaking the digital symbol for physical reality.
To understand why today's trillion-dollar speculation around artificial intelligence stands on feet of clay, we have to look back ten thousand years. For millennia, Homo sapiens lived without money. We took from nature's cycles only what we needed to survive in that moment. It was only with settlement, with farming and animal husbandry, that we learned — through cultivating wheat — to systematically harvest more food energy than we could consume at the same moment. That first surplus set off a chain reaction that continues to this day. Money never arose as a value in itself, but as a pure substitute — an abstract voucher for a real, material equivalent that actually existed. At the very beginning there was always energy: stored solar power in the form of grain, wood, and muscle, and later coal, ore, and oil. The first law of thermodynamics — the conservation of energy — applies to every economy too: nothing comes from nothing. Prosperity is simply a question of which form of usable energy gets concentrated at which point in time, in which place.
As we developed, we began trading and pricing not just material goods but immaterial, intellectual ones too. Today, the majority of people in Western societies work so far removed from the primary industries — from the soil, from iron-ore mining, from the turbines of power plants — that the physical foundation of our everyday life has become invisible. Anyone sitting in accounting or designing software architecture moves through a world of pure numbers and unlearns the question of what real metabolism actually lies behind a balance-sheet total. That abstraction has taken on a life of its own in the modern banking and financial system. Yuval Noah Harari estimates that today, at most five percent of people can truly understand and explain the global financial system — and explaining it is a far higher bar than merely understanding it. But Harari goes a step further: within a few years, not a single human being will fully grasp the financial system any more, because artificial intelligence will have taken over the evaluation of risk, credit, and assets completely. We are handing the wheel to a machine whose inner logic we can no longer read.
Just how blind this financial logic has become to the physical world is shown by the research of systems theorist Nate Hagens. Our modern standard of living doesn't rest on our superior intelligence or on sophisticated stock-market instruments, but on the reckless burning of fossil hydrocarbons. Hagens converts the world's consumption of oil, coal, and gas into an equivalent in human labor: if we stopped burning fossil fuels and still tried to maintain today's standard of living by muscle power alone, humanity would need an invisible army of hundreds of billions of "energy slaves." The everyday life of an average US household alone — the heavy car, the oversized fridge, the high meat consumption, the air travel, the constant air conditioning — devours amounts of energy that entire villages once had to labor for. On top of that come gigantic energetic black holes that produce no real human benefit at all: a bloated military-industrial complex that destroys resources in the most literal sense, and a global advertising industry whose sole purpose is turning abundance into artificial scarcity.
Onto this already overheated energy metabolism, we are now bolting an entirely new heavy industry: the hyperscale data centers of the AI economy. When a single new data-center project in Wyoming alone swallows up to 75 billion dollars in investment, and new server fortresses are being stamped into the ground week after week across the US, China, and Europe, the material paradox of the digital reveals itself. "Artificial intelligence" is not made of ether. It devours land, millions of tons of concrete, copper, rare earths, gigantic volumes of cooling water, high-security infrastructure, and above all: unimaginable amounts of electricity. The markets are celebrating these trillion-dollar investments as a historic leap in productivity. But the capital invested is, for now, nothing more than a bet on the future — a loan that wants to be paid back with a hefty profit. The calculation behind it runs like this: AI automates intellectual work, frees up millions of people, and cuts labor costs.
And this is exactly where the blind spot sits — the one our species currently has no plan for over the next five years. First: layoffs create no biophysical added value. When AI replaces human workers, it destroys purchasing power at the economy-wide level and does not generate a single extra kilogram of wheat, a single gram of copper, or a single kilowatt-hour of energy. Second: a finite planet knows no exponential growth in returns. Real added value isn't created on Wall Street, but through the raw materials and the energy of the one Earth we actually have. Perhaps it's time to look up from counting our tokens for a moment — and remember again where the bread on our table, and the electricity in our socket, actually come from.
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