Miners’ $1.5B Hashrate Loss Shows the AI Pivot Keeps the Power, Not the Machines

Deepak Jain — Sun, 04 Oct 2026 11:27:14 +0000

TL;DR · 30-second read

The Short Version

Companies that mine Bitcoin have spent years building huge, power-hungry computer warehouses. Many now want to rent that electricity and space to artificial intelligence companies instead.

The catch is that Bitcoin mining machines can only mine Bitcoin. In the first half of 2026, publicly listed miners lost mining machines worth about $1.5 billion, as Bitcoin prices fell and some sites switched to AI-style computing.

The takeaway: in these businesses, the valuable part is the power hookup and the land. The machines are what gets thrown away.

Tokenpost reported, in an item carried by Pluang on October 4, 2026, that publicly traded Bitcoin miners lost about 75 exahashes per second (EH/s) of mining capacity in the first half of 2026, equipment valued at roughly $1.5 billion. Exahashes per second measure how many guesses a mining fleet makes at the Bitcoin network’s puzzle each second; 75 EH/s is a large slice of the public miners’ combined fleets.

The report ties the decline partly to miners such as Cipher Digital moving away from mining and toward high-performance computing (HPC), the dense, GPU-based computing used for AI training and inference, which has produced significant impairment charges. Separately, Core Scientific reported $266.5 million in equipment write-downs, which it attributed to lower Bitcoin prices and reduced mining revenue.

Executive Summary

The headline figure is a price tag on retirement. About 75 EH/s of mining capacity, worth roughly $1.5 billion in equipment, left public miners’ fleets in six months. Some of it was retired because Bitcoin’s economics weakened, and some because operators decided their power and sites would earn more hosting AI hardware than running mining rigs.

That matters to anyone building or financing AI infrastructure. Bitcoin miners control a meaningful pool of already-energized industrial sites, the scarcest input in today’s AI data center buildout. The write-downs show what those sites cost to free up. The specialized mining hardware on them has little use outside Bitcoin, so it is written down, sold or scrapped, while the grid connection, land and electrical infrastructure carry forward into the new business.

The numbers also carry a caution. Not all of the $1.5 billion is an AI cost. Core Scientific’s $266.5 million charge, the largest named figure, was attributed to falling Bitcoin prices, not to conversion. Readers should treat the total as a mix of cyclical mining losses and deliberate strategic exits.

Why the Rigs Go and the Power Stays

A Bitcoin mining rig is built around an ASIC, an application-specific integrated circuit. It is a chip designed to do one calculation, Bitcoin’s SHA-256 hash, extremely efficiently, and it can do nothing else. It cannot train a language model or serve AI queries. When a miner decides a site is worth more as an AI facility, the rigs have no role in the new business. Their book value has to be written down to what they will realistically fetch, which is the impairment charge the report describes at Cipher Digital.

What carries over is everything around the machines: the utility interconnection, the substation, the land, the permits and the high-voltage electrical gear. For AI tenants those are the hard parts. New large grid connections in many US markets can take years to secure. A miner that already holds hundreds of megawatts of energized capacity has something an AI cloud provider cannot quickly build. The conversion trade is therefore asymmetric: the asset with a long lead time is kept, and the asset with a short life and a single purpose is discarded.

The arithmetic makes the trade concrete. Roughly $1.5 billion across 75 EH/s implies about $20 million per exahash, or around $20 per terahash, of equipment value leaving the sector. For a converting miner, that is part of the entry cost of the AI business. It sits alongside the far larger spending needed to rebuild halls for liquid cooling and the much higher rack power densities that GPU clusters demand.

Two Write-Downs, Two Different Causes

The report groups two different phenomena under one number, and they should be separated. Cipher Digital’s charges are described as linked to the move toward HPC, a strategic decision to redeploy a site. Core Scientific’s $266.5 million in equipment write-downs is attributed to lower Bitcoin prices and reduced mining revenue, a cyclical decline in what its mining fleet can earn, regardless of any AI plans.

That distinction matters for interpretation. If most of the $1.5 billion reflects Bitcoin’s weaker economics, the figure says more about mining profitability than about the cost of the AI pivot. The two forces also reinforce each other: when mining margins thin, the case for converting a site strengthens, and when a site is earmarked for conversion, the rigs on it lose their future cash flows. The aggregate figure does not show how the losses split between those causes.

Impairments are also non-cash. They reduce reported earnings and the value of assets on the balance sheet, but they do not drain the bank account in the quarter they are booked. The cash was spent when the rigs were bought. The charge acknowledges that the spending will not be recovered at the original rate. The decisions that matter for cash come next: the capital spent to convert sites, and the lease revenue that conversion brings in.

What It Means for AI Builders, Miners and Investors

For AI developers and cloud providers hunting for power, retiring mining capacity is a supply signal. Every exahash taken offline for conversion frees electrical load that could, after rebuilding, host GPU clusters. Miners with large, well-located interconnections become potential landlords, and their negotiating position rests on the scarcity of that power rather than on their mining history.

For miners that keep mining, retirements by rivals can help at the margin. Bitcoin’s protocol adjusts the difficulty of its puzzle roughly every two weeks to keep block times steady. When aggregate capacity falls, each remaining machine earns a larger share of rewards. That cushion depends on what happens network-wide, not only among public companies, and it does not offset a falling Bitcoin price.

For investors, the report’s own framing is apt: the financial outcomes of conversion are uncertain. A write-down records the cost of leaving mining. It says nothing about whether a site will land a creditworthy tenant, on what terms, or when revenue starts. The pivot’s value is realized only when signed, energized leases replace the mining revenue the impaired rigs once produced.

Background

Bitcoin mining is the process of running specialized computers to secure the Bitcoin network in exchange for newly issued bitcoin and transaction fees. Large US public miners built fleets of hundreds of thousands of ASIC rigs at industrial sites chosen for cheap, abundant electricity. Their revenue rises and falls with Bitcoin’s price and with the network’s total computing power. The network also cuts the new-bitcoin reward in half roughly every four years, most recently in April 2024.

Since the AI boom created a scramble for powered data center capacity, several miners have repositioned as infrastructure landlords. Core Scientific, one of the largest US public miners, has signed hosting agreements with AI cloud provider CoreWeave. Cipher Digital, which reports to the SEC as a public company and filed a Form 8-K current report on September 25, 2026, is among the miners shifting toward high-performance computing.

Sources

Source: Bitcoin miners lost $1.5B in mining capacity in H1 2026 amid shift to high-performance computing (Pluang, via Tokenpost): public miners shed about 75 EH/s of capacity as some, including Cipher Digital, move toward HPC, and Core Scientific reported $266.5 million in equipment write-downs.

Primary sources: Cipher Digital, Form 8-K filed September 25, 2026 (SEC EDGAR).

⚠ What They Aren’t Saying

What the Release Doesn’t Say

The split between cyclical and strategic losses. Miners have not broken out how much of the roughly 75 EH/s retired in the first half was taken offline for AI and HPC conversion and how much because it had become uneconomic to run at lower Bitcoin prices.
Cipher Digital’s conversion terms. Cipher Digital has not detailed, in what has been reported here, how many megawatts are being converted, who the tenants are, the length and pricing of any leases, the capital needed to rebuild for GPU densities and liquid cooling, or when converted capacity would start earning revenue.
Core Scientific’s outlook. Core Scientific has not indicated whether further equipment impairments are likely if Bitcoin prices stay low, or how the written-down fleet fits alongside its AI hosting business.
Where the retired rigs go. Miners have not said whether retired machines are being sold into secondary markets, redeployed to lower-cost power elsewhere, or scrapped. That affects both resale recoveries and global mining competition.
Power suitability. Companies converting sites have not confirmed whether existing interconnection agreements and utility contracts support the steadier, higher-reliability load profile AI tenants typically require, compared with mining’s ability to curtail on demand.

Frequently Asked Questions

How much mining capacity did Bitcoin miners lose in the first half of 2026?

Publicly traded Bitcoin miners lost about 75 exahashes per second of mining capacity between January and June 2026, according to Tokenpost’s report. That equipment was valued at roughly $1.5 billion.

What is an exahash per second?

It is a measure of mining speed: one quintillion attempts per second at solving the cryptographic puzzle that secures Bitcoin. More exahashes means a larger share of the network’s work and of the new Bitcoin it rewards.

Why are Bitcoin miners moving to high-performance computing?

Miners own large sites with existing high-capacity grid connections, which AI companies urgently need. Renting that power and space to AI and HPC tenants can offer steadier, contracted income than mining, whose revenue swings with Bitcoin’s price.

Can Bitcoin mining machines be used for AI?

No. Mining rigs use ASICs, chips built to compute only Bitcoin’s SHA-256 hash function. AI workloads need GPUs or other general-purpose accelerators, so converting a site to AI means replacing the computing hardware entirely.

What is an impairment charge?

An impairment is an accounting write-down that lowers an asset’s book value when the company no longer expects to recover its recorded cost. It reduces reported profit but is non-cash; the money was spent when the asset was bought.

How large was Core Scientific's write-down?

Core Scientific reported $266.5 million in equipment write-downs. The company attributed them to lower Bitcoin prices and reduced mining revenue, rather than specifically to its AI hosting strategy.

Is the entire $1.5 billion a cost of the AI pivot?

Not necessarily. The figure combines capacity retired for conversion to HPC with capacity that lost value because mining became less profitable. Core Scientific’s charge, for example, was tied to Bitcoin prices rather than conversion.

What role does Cipher Digital play in this story?

Cipher Digital is cited as one of the miners moving rigs out of mining toward high-performance computing, a shift that the report says produced significant impairment charges on its mining equipment.

What is the implied value per unit of retired capacity?

Dividing roughly $1.5 billion by 75 exahashes per second gives about $20 million per exahash, or roughly $20 per terahash per second, as an average equipment value for the capacity that left public fleets.

Why is a miner's grid connection valuable to AI companies?

Securing new large utility connections can take years in many markets. A miner with an energized substation and interconnection agreement can offer AI tenants power far sooner than a greenfield project, which is the core of the conversion business.

Does converting a mining site to AI require major new investment?

Yes. AI clusters run at much higher power density per rack than mining and usually need liquid cooling, upgraded electrical distribution and more resilient power. Sites generally need substantial rebuilding beyond removing the mining rigs.

How do retirements affect miners that keep mining?

Bitcoin automatically adjusts mining difficulty about every two weeks. When total network capacity falls, each remaining machine earns a slightly larger share of rewards, partly cushioning miners that stay, though not offsetting a lower Bitcoin price.

What should investors watch next?

Watch for signed AI and HPC leases with named tenants, contracted megawatts, start dates and pricing, along with conversion capital spending and any further impairments. Those determine whether the write-downs lead to durable new revenue.

What does this mean for the AI data center power shortage?

Retired mining capacity frees electrical load at existing sites that could eventually host AI hardware after rebuilding. It is one source of near-term power supply for AI, but conversion timelines and tenant commitments determine how much actually arrives.

Impairments – Jain.com