Mined the Gap: Avoiding the Pitfalls of Turning Crypto-Mines into Data Centers.
The maths behind what a converted bitcoin mining facility actually delivers, and why the bitcoin was probably the lesser asset worth having all along.
Could bitcoin miners be about to inherit the AI boom? As time marches on, the reward for mining keeps halving; which means by default, the mining operation is undergoing an exponential decay in profitability. It’s still costing the same to run the facility, but if the amount of bitcoin being mined is diminishing per hour of runtime, the expenses are just eating the margins.
But there’s now a data center boom, but the bottlenecks are widely documented at this point (in particular, the infrastructure). However, there’s plenty of crypto-mining sites with large electrical supplies already there; in purpose built facilities, full of compute capacity, cooling systems installed, and connectivity established.
So could the crypto-miners flip their sites over to AI and ride the next wave? In theory, yes – but the maths doesn’t necessarily suggest it’d be the smoothest transition.
Firstly, there’s got to be an asymmetric economic benefit to converting mining sites. So if we start with the premise everyone leads automatically leads with - that bitcoin is “running out.” For clarity, it isn’t - not for a very long time anyway. Around 95% of all bitcoin has already been mined, but the last coins don’t arrive until roughly 2140 because the issuance halves every four years and the tail stretches over a century. This is partly the reason nobody is rushing to pivot their facilities - because they’ve actually not run out of coins to ‘dig up’.
But the bottom seems to have dropped out of the economics. The April 2024 halving cut the block reward in half overnight, and the network’s hashrate carried on climbing regardless, so the revenue per unit of effort fell off a cliff. By early 2026 hashprice had hit a five-year low and something like a fifth of the older rigs were running at a loss. This is more the forcing function; not the scarcity of coins, but a business whose margins strangles itself based on a timer.
Miners didn’t realise the value they were building at the time, as the volatile growth of crypto made any investment more than worth it, even for the short term. But the long term benefits are now being realized.
Power suffocation, chip shortages, and rapidly inflating build costs makes existing facilities with one or multiples of those factors a very attractive solution for those looking to build a new data center.
The coin was never the point
I’ve argued before in previous articles that the grid connection is the real bottleneck on everything in this industry. A new gigawatt of grid interconnection in the US can take something close to fifty months to secure, and the queue of projects waiting for a connection now runs to thousands of gigawatts, most of which will never get built.
Bitcoin miners were really ahead of their time. For a decade, miners went to the places nobody else wanted, stood up next to stranded gas or cheap hydro or a corner of the Texas grid withg loads of surplus power capacity. They did it early, before anyone was fighting over megawatts, and the bitcoin paid the bills while they held the seat. As it seems to have panned out now, the coin seems to just be a way that has made it economic to sit on a scarce grid connection and keep it warm. A placeholder tenant, paying just enough rent to justify holding the lease.
AI build-out projects have now shown up, and needing power more urgently than anything has needed power in a generation. But they’ve found the entire front of the interconnection queue was already occupied by people mining internet money. So they’ve had to start paying for their place at the front of the queue - over seventy billion dollars of AI hosting deals reportedly got signed across 2025 and into 2026: Core Scientific with CoreWeave, IREN with Microsoft, Hut 8, TeraWulf, Cipher, Galaxy’s Helios site in West Texas. In a strange twist, the placeholder tenant is being evicted by one that pays roughly ten times the rent.
So far, so neat; but it’s not quite as straightforward as that. Once a data center operator has bought out the mining facility, the interesting problems start.
A megawatt is not a megawatt
A bitcoin mine and an AI datacentre are not the same building with different machines inside. They’re barely the same category of thing - the number on the front gate is a bit misleading, at best.
When someone says “500-megawatt mine,” they mean 500 megawatts going almost entirely into ASICs, which are gloriously undemanding tenants. They need to care about redundancy; if a miner PC drops offline for an hour, you just lose an house of hashing. They run hot and “dumb” - a mine runs at a power efficiency close to the theoretical floor, because almost every watt goes straight into the chips. The Uptime Institute has put it about as bluntly as an engineering body ever does: most crypto mines have no redundancy in power or cooling, no UPS, no batteries, no generators, no fuel.
An AI datacentre is the opposite animal. The GPUs need serious cooling, increasingly direct liquid cooling piped to every chip; the cooling and the electrical distribution eat a real slice of the incoming power before a single GPU does any work. Then they need redundancy, because a bank you’re serving, or an inference workload a customer is paying for by the millisecond, cannot just wink out because a transformer needed maintenance. So let me put a number on the gap, because that’s the honest way to argue it.
Call it the conversion yield: the fraction of a mine’s nameplate power you can actually sell as AI compute once you’ve built the rest of the real datacentre around it.
As an illustrative example, take our 500-megawatt mine in West Texas:
First, knock off what the cooling and the electrical build now consume. Where mining put maybe 95% of the draw into the chips, a liquid-cooled AI hall spends a meaningfully bigger share keeping those chips alive, so call it a fifth of the connection gone before you start. That’s 500 down to roughly 400.
Then hold back capacity for redundancy, because “concurrently maintainable” means you can take any feeder or cooling unit offline without dropping the floor, and that reserve isn’t free. For easy maths, lets assume that to be about a quarter, or 25%.
Now you’re at about 300, and the honest figure the industry keeps quoting is harsher still: a 500-megawatt mine converting to something like 20 to 25 megawatts of usable critical load.
Round it off and the rule of thumb is uncomfortable. Your 500-megawatt mine is a 250-megawatt datacentre, give or take. The numbers above are illustrative and every site’s different, but the shape holds: you lose roughly half the headline number to the difference between “powering chips” and “running a datacentre.”
So there needs to be an attempt to mine the gap between the two figures – because that’s where the real cost and the real opportunity both sit.
Keep, rip, or skip
If half the power survives conversion, the obvious next question is what else does. In reality, sadly not much. It’s worth being precise about it, because the answer tells you exactly what you’re buying.
For data centre applications, the machines are worthless. A bitcoin ASIC is fixed-function silicon wired to do one calculation, and it can’t run AI any more than a calculator can edit video. Every rig comes out and goes to scrap or the second-hand market. The cooling mostly doesn’t transfer either. The immersion tanks some miners are proud of solve a different problem to the direct-to-chip liquid cooling a modern GPU rack wants, different fluid, different plumbing, different everything. And the low-voltage electrical distribution a mine is built around usually needs tearing out and rebuilding for the density AI racks now run at, where a single rack can pull more power than an entire aisle of miners.
So what are you actually keeping?
Basically all of the asset parts which don’t depreciate - the land, the permits, the substation, the transformers, and above all the interconnection agreement. The things that took probabl;y about 5 years and a place in a decade-old queue to obtain. Everything inside the fence gets ripped out and rebuilt. You’re not really buying a datacentre per se, you’re more buying the right to build one, already energised, on a timeline which most other competitors can’t match in the current market. It’s an underutilized move which seems to be overlooked at the present time, and I’ve explained it in other articles previously. The scarce, slow, unglamorous asset is the grid connection, and whoever holds one holds the only thing money genuinely can’t seem to hurry at the present moment.
The middle of nowhere problem
There’s one more haircut, and it’s the one that kills a chunk of the estate. Miners went where the power was cheap, which usually meant the middle of nowhere. Bitcoin was happy out there, because a mine needs almost no bandwidth and doesn’t care about distance. A block header is eighty bytes. You could technically mine over satellite.
AI cares enormously though; training clusters need fat fibre to move data. And inference (the bit that actually serves users), needs to sit close enough to them that latency stays low, because a few milliseconds of delay breaks a real-time service. A mine parked next to a remote gas flare, three hundred miles from the nearest fibre backbone and any real population, is a wonderful place to make bitcoin, but an awkward place to run AI. Some of these sites can convert beautifully, but there’s many which are stranded in exactly the way that made them good mines in the first place - and no amount of capital is going to fix their postcode.
That’s why the conversion yield isn’t just a per-site number, it should be thought of as more of a filter across the whole portfolio. The mines worth converting are the ones that happen to sit near fibre, near water, near demand, with a utility willing to grow the connection.
Laughing stock
The most interesting part about this is how it’s turned out to be the antidote to the doom story about bitcoin’s poorly-marketed energy use. Without meaning to, an industry that everyone spent a decade mocking as a waste of electricity has gone and assembled a distributed fleet of energised, grid-connected sites, scattered across exactly the kind of second-tier locations that a sane infrastructure build would want. Tens of gigawatts of it, already in the queue’s good graces, right at the moment AI discovered it had nowhere to plug in.
I’ll admit that this is not ever going to be the hyperscale megaproject model; the single enormous campus that takes half a decade and a national grid upgrade to stand up. It’s the messy, meshed, many-sites-in-many-places model I keep arguing is the better bet in countries that’s bad at building big things. The miners didn’t plan to build the physical layer for distributed AI; they were just chasing cheap power with a coin to fund it - but strip out the ASICs, do the honest calculation on what each site can really deliver, and you could be left with a ready-made map of where the next wave of compute can actually go.
So it could be about to turn out that the coin was never the point, but actually the connections were.
TH