Public Bitcoin miner dumps Bitcoin for AI, historic mistake
Unquestionably, that is the period of AI. Firms are slicing their workforces in half to make use of money circulate to spend money on {hardware}, whereas the inventory market stays close to all-time highs, thanks largely to FAANG. OpenClaw, a self-hosted AI agent, has extra stars on GitHub than Linux or React, however even Jack Dorsey is taking powerful steps to rebuild Block within the face of digital synthetic intelligence. However how a lot of this AI wave is hype, and the way lots of the corporations constructing its infrastructure will truly profit?
Public Bitcoin miners within the US are making their very own decisions, with some investing cash in constructing AI information facilities or fully rebranding themselves to distance themselves from Orangecoin. Whereas there are numerous AI-related focuses and statements made by public Bitcoin miners on this difficulty, a couple of stand out as essentially the most excessive.
Cypher Mining, estimated to be value about $6 billion and one of many largest within the nation, has introduced a whole rebrand away from Bitcoin and in direction of AI hype. In its newest funding report, titled “Rebranding to Cipher Digital to Replicate Strategic Shift to HPC,” the corporate defined why it “offered its 49% stake in Alborz, Bear, and Chief Mining Websites.” Bitfarms Ltd, one other giant public miner valued at over $1 billion, has additionally pivoted fully to AI. Coindesk reported that CEO Ben Gagnon went so far as to say, “We’re not a Bitcoin firm,” however the firm saved the “Bit” in its title.
A few of these publicly traded corporations count on the returns from digital intelligence to be higher than these from Bitcoin, at the very least within the brief to medium time period, whereas others see it as a chance to diversify or be too massive to go up.
“The common value to mine Bitcoin proper now’s about $87,000. The spot worth of Bitcoin is about $70,000. So many of the trade is underwater, and public miners are utilizing that as an excuse to pivot,” Kent Halliburton — co-founder and CEO of SazMining, defined in an unique interview with Bitcoin Journal. Sazmining is a personal Bitcoin miner that focuses on frontier power sources and operates primarily outdoors the US.
Halliburton additionally mentioned, “$87,000 is an trade common and contains these working older technology rigs on the Texas energy grid. At our places in Paraguay and Ethiopia, our clients obtain 100% “We’re producing Bitcoin for $50,000 to $64,000 based mostly on power prices, which is a spot low cost of 10% to 30%. Profitability is true there.” That might require an extended funding horizon or cheaper power, neither of which appear viable for U.S. public miners concentrating on quarterly studies in greenback phrases.
However with reference to cheaper power, Halliburton means that public miners in the US had the chance to be aggressive, however have been unable to capitalize on that useful resource. He didn't say something on the subject, saying that these publicly traded corporations “had all the pieces they wanted to mine Bitcoin cheaply – energy contracts, land, infrastructure – however they're handing it over to Microsoft and Google in alternate for lease checks. They're doing all the pieces from securing the Bitcoin community to securing rack area for hyperscalers, they usually name it a technique. In the meantime, they're releasing over 15,000 Bitcoin from their stability sheets to fund the transition.”
Among the many largest public Bitcoin miners, IREN Restricted started pivoting to AI cloud providers in April 2025, asserting a $9.7 billion, five-year settlement with Microsoft for 200 MW of essential IT workloads utilizing NVIDIA GB300 GPUs. TeraWulf has accomplished a number of Google-backed HPC expansions by way of Fluidstack, securing a 10-year contract for over 200 MW.
Cipher Digital has accomplished a whole rebrand to HPC landlord with 600 MW of contracted capability, together with a 15-year 300 MW lease with AWS and a 10-year 300 MW lease with Google-backed Fluidstack. Hut 8 has signed a 15-year, 245 MW lease with Fluidstack, additionally backed by Google, with potential for future extensions and first provide rights of over 1,000 MW. Core Scientific has expanded its HPC focus to 270 MW by way of a partnership with Microsoft and CoreWeave to service OpenAI workloads.
Riot Platforms is strategically evaluating AI internet hosting growth by partnering with AMD for a 10-year 25 MW operational lease and 600 MW AI/HPC analysis on the Corsicana web site, however no hyperscaler settlement has been introduced.
MARA Holdings is diversifying into AI by way of a three way partnership with Starwood Capital's Starwood Digital Ventures, concentrating on 1 GW of IT capability within the close to time period, scalable to greater than 2.5 GW for hyperscale and AI workloads, with Starwood main funding and tenant procurement, however no hyperscaler deal has been finalized but.
CleanSpark pursues AI pivot by buying Texas land and energy for AI/HPC. It contains 447 acres of land in Brazoria County with a possible of 300-600 MW and a web site in Austin County contributing 890 MW of whole energy technology, and is being funded by way of Bitcoin gross sales, with tenant negotiations underway however no hyperscaler leases disclosed.
The AI gold rush is right here, there isn’t a doubt about it. Many of those public miners undoubtedly appear to see a chance to construct infrastructure for profound expertise tendencies. However in any case, in the long term, historical past has not been form to these constructing the infrastructure of a brand new period. It tends to be a really excessive threat, medium reward type of wager. For instance, how lots of the corporations that constructed railroads are nonetheless round at the moment? Or, with out going that far again, are you able to title the businesses that constructed fiber optic web strains within the late 90s and 2000s?
There’s a lengthy listing of railroad bankruptcies from the late 1800s that even led to a monetary disaster known as the Panic of 1873, lots of which took on extreme debt to finance building that was not but in ample demand. After the panic, JPMorgan led the consolidation of bankrupt railroad corporations, resolved debt disputes, and positioned actual property property beneath new possession. They have been those who lastly took benefit of railroad building.
And simply because the century was coming to an finish, the dot-com bubble of the 2000s left behind a graveyard of fiber-optic infrastructure corporations that have been ultimately acquired by hyperscalers like Google and Meta for $1 throughout post-crash consolidation.
Whereas the development of railroads and fiber optic strains collectively helped develop world commerce in unimaginable methods, demonstrating the knowledge of the market as an entire, most particular person corporations concerned didn’t survive the method, and enterprise capitalists targeted on at the moment's AI increase are conscious of this dynamic.
Hole between capital funding and income AI
Numerous investor teams are starting to query the place the income for this huge infrastructure spending will come from. Goldman Sachs argued in an October 2025 report titled “AI: Is We in a Bubble?” that whereas earlier investments could have been supported by sturdy technology-related returns, valuations for some corporations are beginning to “bubbly.”
Sequoia's David Chan factors out that the hole between AI income and capital expenditures (Capex) has widened since 2023, with a broadly reported distinction of $600 billion. The hyperscaler's 2026 capex dedication is over $700, however the place is the return?
Whereas OpenAI's $20 billion in annual recurring income (ARR) is spectacular for a startup, FuturumGroup studies that it represents “roughly 3% of whole hyperscaler capex in 2026,” and “Anthropic's $9 billion run charge places it in an identical place, with 9x year-over-year development. Cohere ($150 million) So is your complete cohort of pure-play AI distributors, together with . ARR), Mistral (roughly $400 million), and Perplexity ($148 million per yr), amongst others, will possible account for lower than $35 billion of whole projected income in 2026. ”
Skepticism about the place the worth of AI can truly be captured can be expressed by enterprise capitalists like Chamath Palihapitiya. He’s a distinguished investor in Groq, an organization growing customized silicon for the AI period that was licensed by NVIDIA in a $20 billion deal final yr, and has been a Fb insider all through the corporate's development right into a hyperscaler. If he has doubts in regards to the profitability of synthetic intelligence railway building, then maybe there’s something value trying into very carefully.
Palihapitiya additionally argued on a current All In Podcast that corporations will quickly notice that they’re exposing their commerce secrets and techniques to cloud AI and should select to self-host as an alternative. Constructing an in-house GPU farm could look like a little bit of a facet quest, however are you actually keen to threat your commerce secrets and techniques by working with an AI supplier that trains on person information? In spite of everything, new variations of fashions skilled on that information could have it included into their data base and uncovered to the world. And even when company agreements to not use company information for coaching turn into the norm, it creates a really excessive degree of belief, making a systemic threat for a given firm: the chance that the info may very well be leaked or considered by the unsuitable insiders inside the cloud AI supplier firm.
For a similar motive, there’s additionally the query of whether or not the market basically needs cloud AI. Would you rent a private assistant in the event you knew the info you shared with it will find yourself on the web? Most likely not, however that's what's occurring with AI. The truth is, the Southern District of New York not too long ago dominated that customers are usually not entitled to client-attorney privilege when receiving authorized help from an AI chatbot, which means that confidential discussions with the AI will be legally subpoenaed and used in opposition to the consumer in court docket. This illustrates the dangers related to blindly trusting AI. Some speculate that new forms of phrases and contracts will must be created to help this use case. However this case illustrates the basic parts of the demand for AI. In different phrases, folks need dependable humanoid intelligence, digital or in any other case.
AI loyalty and belief
Ah, “belief,” the ever-present, virtually supernatural phrase that does a lot to hold the load of the world. However what’s belief? Essentially, it’s predictability, an individual's confidence that one other individual, system, or AI will behave in a sure manner in a dependable, predictable, and constructive method towards his or her profit. Nonetheless, if the AI is hosted within the cloud, no such ensures will be made. Knowledge principally leaves the person's machine and is processed within the “cloud”, and what occurs there’s past our human comprehension. The truth is, “the cloud” comes with authorized dangers that may impede your loyalty as a person in sure eventualities. So maybe the general public is fascinated by OpenClaw.
In current weeks, a brand new open supply undertaking on this planet of AI has taken the tech world by storm. With 289,000 stars on GitHub, it has extra stars than Linux has, regardless of supporting software program infrastructure all over the world, and greater than React, one of many world's hottest net improvement languages. And it's solely been dwell for what number of weeks? How can this occur? Why do folks prefer it a lot?
Effectively, there are in all probability two causes. It feels extra like a human assistant than a chatbot. It updates robotically, remembers what you have an interest in, writes a diary and develops based mostly in your preferences. However most significantly, you may host it by yourself machine. Folks have been shopping for Mac minis en masse to run OpenClaw, mixed with Claude Max API token plans for about $200 per thirty days. Some argue that this can be a revolution in self-hosting, though the above setup nonetheless depends on the cloud. However what's actually occurring right here is that OpenClaw seems to be loyal, remembers you, and is “inside” your PC. This isn’t a chat interface the place the context window ultimately grows unmanageably giant and dies a small loss of life, changed by a brand new chat tab. OpenClaw is just not a chatbot. It is a sort of AI entity that customers construct relationships with. And good relationships are constructed on belief.
So what does all this should do with public Bitcoin miners? Maybe self-hosted AI is the longer term, and China's AI mannequin is more and more lean and able to working on machines which might be removed from leading edge, maybe with stress to innovate resulting from sanctions on specialised AI {hardware} akin to high-end Nvidia chips. Every kind of open supply instruments for managing and internet hosting fashions domestically are being launched and improved repeatedly. If historical past is any information, the mass manufacturing of AI {hardware} will result in the commoditization of highly effective computer systems that may attain finish customers' houses and course of AI.
The truth is, Apple, the worst FAANG of all AI merchandise ever launched, might find yourself being one of many greatest winners of the AI race. why? As a result of the person {hardware} is best. Trendy Macs don’t distinguish between RAM and VRAM. It is a drawback seen with all different computer systems that depend on GPUs, akin to Nvidia. This limits the dimensions and velocity of fashions that may be self-hosted. As an alternative, trendy Mac machines have all their RAM built-in, permitting customers to run highly effective fashions domestically that can’t simply be run on non-Apple {hardware}. Self-hosted AI is the longer term.
Due to this fact, public Bitcoin miners who have been pursuing medium-term fiat income could have simply fallen right into a entice. It's the identical entice that the giants of the dot-com bubble fell into. It's the identical entice that the giants of the commercial age who constructed the railroads fell into. The infrastructure that powers the longer term doesn't essentially make a revenue.
The publish Public Bitcoin Miners Are Dumping Bitcoin for AI, a Historic Mistake initially appeared in Bitcoin Journal and is written by Juan Galt.
