Energy Is Money. Money Is Memory. We Just Made Remembering the Most Expensive Thing on Earth.

The AI buildout is not a compute story. It is the largest act of memory-making in human history. And the thing that decides what humanity keeps is now a queue position at a utility.

The Parallel Nobody Sees

Here is the argument in three lines. Read it twice.

Energy becomes money. (Soddy, 1926. Satoshi, 2009.) Money is memory. (Kocherlakota, 1998. Graeber, 2011.) Therefore: energy is memory with extra steps. We just removed the steps.

That is the whole essay. Everything below is the proof.

Left: The same land, different price tag. Bitcoin miners paid $0.8M/MW in 2010. AI clusters pay $8–15M/MW in 2026 for the same grid connection. Right: The three-way equivalence — energy, money, and memory are the same scarcity wearing different clothes.

What I know about money is that it keeps getting erased

I have made and lost more money than most people on this planet will ever see. Not once. Several times, in both directions, and I have never gotten used to either one.

My own website says I was wrong about the timing and right about everything else for twenty-five years. That is a joke I wrote about myself, and it is also the most expensive sentence in my life. Being early is indistinguishable from being wrong right up until it isn't, and the market settles up in cash long before it settles up in credit.

I put the first URL on live television. I built webcasts before anyone was watching. I was making online video half a decade before YouTube existed. Every one of those was correct. Several of them were catastrophic.

So I have had reason to think carefully about what money actually is, because mine kept disappearing.

Here is what I concluded. I wrote it down in 2010 without understanding what I had written. I opened an essay with the old parable about Heaven and Hell — same room, same table groaning with food, same four-foot utensils too long for anyone to feed themselves. In Hell everyone starves holding a full spoon. In Heaven they reach across and feed each other.

I thought I was writing about business relationships. I was actually writing about accounting. The only thing that distinguishes the two rooms is whether the people in them remember each other.

I have watched my net worth go to a number I will not repeat and then go to something considerably worse than zero, and the thing that never moved through any of it was the ledger nobody keeps in dollars. Who picked up the phone. Whose call I returned in 2004 and who returned mine in 2011 when I badly needed it. What people remembered I had done for them when I could no longer do anything for them at all.

The money was erasable. The memory was not.

That is not a greeting card. It is a balance sheet observation. And it is the same argument I have been making since the long spoons. I just finally found the physics underneath it.

1926: Soddy says wealth is energy

Frederick Soddy won a Nobel Prize in chemistry and then, to the considerable annoyance of economists, wrote a book about money.

In Wealth, Virtual Wealth and Debt (1926), he made an argument that was ignored for fifty years and has aged like a threat. Real wealth, he said, is what you get when you apply energy to matter and transform it into something useful — buildings, food, machines. Everything else is virtual wealth: money, credit, debt, claims on other people's future output.

He was treated as a crank for decades. But Soddy did not say energy is like money. He said money is a shadow cast by energy, and confusing the two is how civilizations get into trouble.

Hold that.

2009: Satoshi makes it literal

For eighty-three years Soddy's claim stayed metaphorical. Then somebody built the metaphor.

Proof of work does exactly one strange and beautiful thing: it converts joules into an unforgeable claim. Not symbolically. Mechanically. You spend electricity, you produce a number, and that number is expensive precisely because the electricity was expensive. Soddy's argument, compiled and shipped.

Bitcoin is the first money in history whose cost of production is stated in kilowatt-hours on purpose, in public, continuously.

And here is the part the industry took fifteen years to notice. The miners were never really in the mining business. They were in the business of acquiring energized land with grid rights during a period when nobody else wanted it.

The machines were worth $700,000 to $1 million per megawatt. What replaced them costs $8 million to $15 million per megawatt. The building was never the asset. The connection was.

The narrow neck is not the chip. It is not the building. It is the transformer in the parking lot — a steel box on a concrete pad — and behind it, a filing cabinet at a regional grid operator. Electrical equipment is under ten percent of data center cost and one hundred percent of the bottleneck.

1998: An economist proves money is memory

There is a paper by Narayana Kocherlakota with one of the great titles in economics: Money Is Memory. The argument is austere and, once you see it, unforgettable.

Anything money can do, a perfect communal record of who did what for whom could also do. Money is not a thing. Money is a technology for remembering obligations in a society too large to remember them personally.

David Graeber came at it from anthropology and landed in the same place. Credit came first. Coins came later. Before there was currency there were ledgers, tallies, debts held in the head of a village. Money is what we invented because we could not remember each other at scale.

So run the chain:

2026: The steps come out

Here is what an AI training run actually is, stripped of the mythology.

You take electricity. You use it to compress an enormous quantity of human output into a set of weights. Then you spend more electricity retrieving from those weights on demand. That is not a metaphor for memory. That is memory — encoding, storage, retrieval, the same three verbs a neuroscientist would use.

The IEA's April 2026 update puts global data center electricity consumption at roughly 485 terawatt-hours in 2025, doubling to 950 terawatt-hours by 2030. Something close to three percent of all electricity generated on this planet, dedicated to the industrial production of recall.

We have built the first economy in which remembering is a line item on the grid.

And because it is on the grid, it is rationed. American interconnection queues hold 2,060 gigawatts waiting to connect, with a median wait approaching five years. Of everything that asked to connect between 2000 and 2019, roughly nineteen percent had actually connected by the end of 2024.

Read that number again with the thesis in hand. Four out of five requests to build memory capacity did not happen.

Memory has always been expensive. That is the whole problem.

Before the printing press, remembering anything required a human being to spend a life copying. Monasteries were memory infrastructure. The energy source was calories and devotion, and the throughput was one manuscript at a time. What survived antiquity was not what was most true or most beautiful. It was what somebody was willing to feed a scribe to keep.

Every culture that has ever lost something lost it because the energy budget for remembering ran out. Languages die when nobody can afford to teach them. Techniques disappear one funeral at a time.

What we remember has never been decided by what is worth remembering. It has been decided by who was willing to pay the energy bill.

Now the bill is a power purchase agreement and the scribe is a GPU. The mechanism did not change. Only the scale, and the honesty of the accounting.

The provocation

If energy is money, and money is memory, then the allocation of electricity is the allocation of remembrance.

Which means every gigawatt contract signed this year is a vote on what humanity keeps.

Nobody is casting that vote consciously. There is no committee. There is a queue at a regional transmission organization, a backlog at a turbine manufacturer, and a spreadsheet at a hyperscaler. The most consequential curatorial decision in human history is being made by procurement.

And the thing being remembered is overwhelmingly whatever was already legible to the training pipeline — which is to say, whatever was already written down, already digitized, already English.

The long spoons are back. The table is full. The question is whether we remember to reach across it.

What do you think?

I have been sitting with this argument for a while and I am not sure I have the conclusion right. Here is what I am genuinely uncertain about:

Is the allocation of memory capacity the most important political question of the next decade — or am I overstating it?

If you work in energy, infrastructure, AI, or you have just watched something disappear because nobody could afford to remember it — I want to hear from you. Reply to this, or find me at tony@impactsoul.is. I read everything.

Keep Reading

• Business at the Speed of Light — What Is a Millisecond Worth? — RampRate's 2011 piece on the I/O bottleneck. The bottleneck moved. The argument didn't.
• The $1,000/Hour Hold — A Manifesto Against the Companies That Steal Your Time — What happens when systems are optimized for the wrong variable.
• Only Time Buys Trust — The original essay. Memory that survived contact with time.
• Enterprise Blockchain: Can Big Business Co-opt an Existential Threat? — The last time a new infrastructure layer rewrote who controls the ledger.
• Why Good Service Is All About Trust — The accounting that doesn't show up in dollars.
• Human OS 2.0 — What happens when intelligence becomes abundant and attention becomes scarce.

Tony Greenberg is Founder and CEO of RampRate and Founder of ImpactSoul. Twenty-five years building, benchmarking and negotiating enterprise technology infrastructure. Only Time Buys Trust.