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AI & TECH

Miners pivot from Bitcoin to AI compute

Thursday, June 25, 2026 · from 5 podcasts
  • Bitcoin miners are leasing powered sites to AI firms, turning stranded energy into $1B+ revenue streams.
  • A 15-year lease can quadruple a miner’s valuation by shifting it from speculative to infrastructure.
  • Most mining sites lack the redundancy AI training demands - execution is now the bottleneck.

Bitcoin miners aren’t just surviving the post-halving slump - they’re pivoting hard into AI. The same energy infrastructure built to secure the blockchain is now being repurposed as the fastest on-ramp for AI hyperscalers hitting grid bottlenecks. Brandon Bailey, speaking on TFTC, calls it the “unintended power land grab”: companies like Marathon and CleanSpark locked down land, power, and interconnections during the 2021 hash rate migration. Now, those assets are AI’s most scarce resource.

Google’s $920 million monthly deal with SpaceX for GPU access, revealed in The AI Daily Brief, underscores the severity of the compute crunch. But not every player has orbital leverage. For terrestrial AI, the bottleneck isn’t chips - it’s energized real estate. Core Scientific has already signed leases with CoreWeave, proving miners can deliver. The valuation jump is stark: Bitcoin mining trades at 4-6x EBITDA, while data center REITs like Equinix fetch 20-24x. A single 15-year lease flips the script.

The shift isn’t just financial - it’s cultural. Bitcoin mining rewarded speed and cost-cutting. A downed rig meant lost hash, not catastrophe. AI training is different. It demands five-nines uptime, precision cooling, and industrial redundancy. As Bailey notes, “Phase one is signing the lease. Phase two is delivering the build.” The market still discounts miners until they prove they can engineer like Core Scientific.

"The miners own the dirt and the wires that the AI arms race requires."

- Brandon Bailey, TFTC

That physical edge is now a strategic asset. While the Fed pivots from forward guidance to yield curve engineering - aiming to lower long-term rates for AI capex - miners are already monetizing the one resource that can’t be printed: land with power. SpaceX may dominate orbital compute, but on Earth, the race is about who controls the substations.

Arthur Hayes warns the AI debt math is broken - six-year loans for two-year hardware - but miners flipping power to AI avoid that trap. They’re not betting on model margins; they’re selling watts and real estate. Meanwhile, OpenAI and Anthropic face geopolitical headwinds, from Trump blocking Fable 5 to Sanders pushing public AI equity. Miners, by contrast, are neutral infrastructure.

This isn’t a hedge. It’s a hard pivot. The next phase of AI won’t be built solely in Big Tech’s cloud - it’ll run on repurposed mining yards from West Texas to upstate New York. The compute future is grounded, not just in silicon, but in land, power, and the ability to build.

Source Intelligence

- Deep dive into what was said in the episodes

#761: Miners Own The Power Gold Rush with Brandon BaileyJun 22

  • He argues AI compute demand is driven by nation-state game theory, with the US and China in an AI arms race, and by hyperscalers like Google, Amazon, Meta, and Microsoft competing to protect their moats.
  • Bailey believes using LLMs is a learned skill akin to the internet age; laggard employees who don't adopt it will face a massive disadvantage.
  • He built Dimetrix.ai as a market intelligence tool for digital infrastructure investors, automating the extraction of granular site data like power capacity and lease details from SEC filings.
Also from this episode: (12)

Mining (8)

  • Brandon Bailey argues the 2021 China mining ban caused up to 30% of Bitcoin hash rate to relocate to the US, leading to a North American gold rush and the institutionalization of mining.
  • Bailey says Bitcoin mining companies like Marathon, Riot, and CleanSpark amassed gigawatts of power portfolios during the 2021 bull cycle because margins were incredible.
  • Bailey states Bitcoin miners transitioned to AI compute because a 10-15 year hyperscaler lease offers guaranteed cash flow, unlike volatile mining income.
  • He explains Bitcoin miners trade at 4-6 times EBITDA, while traditional data center players like Digital Realty and Equinix trade at 20-24 times EBITDA, creating a massive multiple expansion opportunity.
  • Bailey cites Core Scientific, HUT 8, Cypher, TerraWolf, and Applied Digital as pioneers successfully pivoting from mining to AI compute.
  • He notes Core Scientific has 590 megawatts of critical capacity leased to CoreWeave and has begun delivering.
  • Bailey describes a two-phase re-rating process for Bitcoin miners: signing a lease creates the first valuation pop, and financing and delivering construction removes the remaining execution discount.
  • He says smaller Bitcoin miners with 50 MW of power could contribute their assets into a JV at valuations over $1 million per megawatt, far above their current $200k-$400k valuations.

Politics (1)

  • Bailey observes political pushback against massive AI data centers is creating more demand for smaller 20-50 megawatt sites.

Big Tech (1)

  • Marty Bent notes Google raised $84.5 billion in an equity raise involving Berkshire Hathaway to fund AI CapEx, signaling a shift from stock buybacks to full growth mode.

AI Infrastructure (2)

  • Bailey argues counties that reject data centers miss the opportunity to bring new generation, capture capital for local investment, and potentially see lower power rates compared to anti-data center regions.
  • He concludes the AI compute rush will push Bitcoin mining towards stranded and distributed power sources, potentially creating a golden era of durable mining economics due to constrained ASIC supply and power availability.

"The Fed Can't Print Moore's Law" - How the AI Crash Sends Bitcoin to $1M | Arthur HayesJun 22

  • Arthur Hayes expects a future AI credit crisis driven by the mispricing of GPU depreciation, where multi-year financing deals clash with a two-year effective hardware lifespan. This capital misallocation will dwarf the subprime mortgage crisis.
  • Hayes argues the subsequent money printing by authorities to bail out the system will fail to revive the AI sector, as the Fed cannot print technological progress or change Moore's Law. That stimulus capital will instead flood into crypto, sending Bitcoin to $1 million.
  • He identifies Chinese AI models as a critical threat to US AI valuations, citing their potential to commoditize the market by offering comparable performance at a fraction of the cost, eroding the premium for US tech brands.
  • Hayes predicts the 2028 US presidential election could become a referendum on AI, driven by public anger over economic displacement, environmental costs, and wealth inequality, which would create regulatory risk for the sector.
Also from this episode: (6)

Protocol (2)

  • Hayes is currently positioned in cash and T-bills, having sold tokens like Hype and Zcash. He cites risk management, capital preservation, and a search for new asymmetric trades as his reasons for taking profits.
  • He views Ethereum as a high-conviction, large-cap investment with a favorable setup, trading well below its all-time high while other major assets have breached theirs. Hayes would allocate a marginal dollar to Ether over Bitcoin on a chart perspective.

Business (1)

  • Hayes foresees a significant rally in hydrocarbon prices due to global strategic inventory rebuilding and geopolitical risk, viewing current lows as a buying opportunity for energy equities.

Startups (2)

  • He credits BitMEX with inventing the modern perpetual swap, emphasizing the funding rate mechanism and socialized loss model as the key innovations that enable high-leverage, 24/7 trading for retail.
  • Hayes believes perpetual swaps will dominate because they cater to retail demand for leverage and continuous markets, and he expects Hyperliquid to eventually flip Binance as the offshore leader due to its superior, cost-efficient product.

Markets (1)

  • Despite creating the instrument, Hayes personally trades only spot, advising against leverage for most investors due to crypto's inherent volatility. He occasionally participates as a liquidity provider in perp markets when rates are attractive.

Why Local AI Matters and How to Use ItJun 21

  • President Trump confirmed reports the US government is exploring taking an equity stake in major AI labs, framing it as a way for the American public to partner with companies and benefit from AI's success.
  • OpenAI is pitching a plan to donate equity to the US government to seed a public wealth fund, which could distribute dividends to citizens, potentially through Trump accounts for children.
  • Bernie Sanders has proposed taxing 50% of AI company equity to form a sovereign wealth fund, a concept Trump suggested his administration's ideas aren't far from.
  • David Sacks argues nationalizing AI accelerates corporate-government fusion, creating a central government AI system with totalistic power over information and behavior akin to China's social credit system.
  • Brad Gerstner opposes government seizure of AI labs but supports founders donating shares for direct citizen benefit through pooled private accounts or individual Trump accounts.
  • OpenAI is overhauling ChatGPT into a super app that combines coding tools and AI agents to drive users toward higher-value, revenue-generating products, with changes rolling out in the coming weeks.
  • OpenAI CFO Sarah Friar revealed usage tiers: free users average 7 questions daily, the first paid tier doubles that to 15, Plus users triple it, and Pro users do 11x a free user's volume.
  • A widening AI advantage gap sees power users leveraging agents for compounding value while casual chat users see only linear gains, a shift driven by the viability of coding tools for all knowledge workers.
  • The vanguard of AI use has moved beyond prompting agents to designing autonomous loops that prompt agents, a pattern embedded in tools like Claude Code and Codex via the slash goal primitive.
  • OpenAI's interface overhaul aims to democratize advanced agent and loop usage patterns currently gatekept by technical complexity, not just to boost IPO valuation but to spread high-value AI experiences.
Also from this episode: (4)

AI Infrastructure (3)

  • Google signed a three-year deal to pay SpaceX $920 million per month to rent compute, securing access to at least 110,000 Nvidia GPUs from October 2024 through June 2029.
  • Based on the Anthropic and Google deals, xAI will be paid $26 billion per year to license compute from its data centers, implying an 18-month payback period on its $40 billion data center spend.
  • Nvidia deepened its memory supply chain with a new multi-year deal with SK Hynix, securing high-bandwidth memory for next-generation Vera Rubin chips amid a global component shortage.

Enterprise (1)

  • OpenAI's business customer base drives its revenue shift, with 2 million businesses accounting for 40% of revenue and a target of 50% by year-end, while the company still loses $14 billion annually.

Announcing PB's Open Source AI Summit, Bitcoin Forks, Running Local AI RecapJun 19

  • Tom Tungas uses local AI models for VC workflows, automating email processing, presentation creation, investment analysis, and blog drafting.
  • Tungas implements a local model system that decides whether to route tasks locally or to the cloud, allowing a limited runtime for local processing before defaulting to cloud.
  • Tungas converted his Ruby automation code to Rust, observing dramatic performance and quality improvements, arguing Rust's strictness suits AI-assisted coding.
  • The Fable AI model was sanctioned by the U.S. government last Friday, restricting foreign access including foreign-born researchers within U.S. companies.
  • Steve argues AI's disruptive power threatens legacy tech giants, questioning Microsoft's durability if AI enables easier data porting and tool switching.
  • Steve sees energy, compute, and customer attention as potential moats, but believes Bitcoin's role as scarce collateral could dominate in an agentic economy.
  • Steve thinks SpaceX's launch monopoly, Starlink revenue, and potential mobile network and space compute businesses make it a unique AI infrastructure player.
  • Steve cites SpaceX securing billions monthly from Google and Anthropic for compute, fueling rapid data center and energy infrastructure expansion.
  • Steve argues AI's scaling laws suggest a rocky transition with potential high unemployment, making state equity in AI companies or direct payments a possible stabilizer.
  • Presidio Bitcoin announced its Open Source AI Summit for September 10th-11th, focusing on open models, local AI, and philosophy.
Also from this episode: (8)

Open Source (1)

  • Christian Catalini likened the Fable sanction to the 2008 financial crisis, suggesting it could catalyze a 'Satoshi moment' for local open-source AI.

Protocol (6)

  • David explains covenants as proposals to add output requirements to Bitcoin transactions, with various technical implementations like OP_CAT, CSV, and TemplateHash.
  • David states covenants would make ARK trustless like Lightning and aid Lightning scaling via channel factories, but their adoption depends on core developer support.
  • David describes the 'great consensus cleanup' as bug fixes for Bitcoin, including a flaw allowing rapid mining of remaining Bitcoin.
  • David outlines other Bitcoin change proposals: Paul Sztorc's drive chain (eCash), post-quantum cryptography work, and BIP361 for freezing vulnerable coins.
  • Steve warns an eCash hard fork could create tax liabilities and operational burdens for businesses, posing a potential attack vector if replicated.
  • Steve notes Illinois enacted a 0.2% transfer tax on crypto assets, targeting third-party services, raising questions about its applicability to self-custody transfers.

Politics (1)

  • Steve says Alaska's oil revenue payments exemplify a popular model for distributing sovereign wealth fund proceeds directly to citizens.

A New Era Is Beginning In Markets | Weekly RoundupJun 19

Also from this episode: (11)

Fed (5)

  • The Fed under Kevin Warsh sharply reduced forward guidance, cutting the FOMC statement by 80% and ending with a succinct commitment to price stability, signaling a break from 15 years of communication aimed at suppressing volatility.
  • Markets interpreted the Fed's June meeting as peak hawkishness, pricing in two hikes by mid-2027, but many of those hawkish dots likely came from non-voting regional presidents pushing back against Warsh's new, less communicative approach.
  • Warsh's hawkish pivot collides with disinflationary data: oil is down 30% since the last Fed dot plot, inflation swaps have returned to pre-war levels, and shelter inflation appears to be peaking, making actual rate hikes unlikely.
  • The flattening yield curve suggests a growth problem, not just an inflation issue, and may be part of a Warsh-Treasury strategy to lower long-term yields to facilitate government debt term-outs and improve housing affordability.
  • Record short positioning in SOFR futures and across the Treasury curve creates a potential squeeze, as the market consensus for hikes faces off against weakening inflation data and a cooling labor market.

Markets (3)

  • High-yield credit spreads remain resilient despite tightening financial conditions, allowing the AI-driven capex cycle to continue unabated, with data center spending growth slowing from 80% to 45% year-over-year but remaining massive.
  • Capital is rotating out of hyperscalers and into AI bottleneck stocks and infrastructure plays, a trend Quinn identified early, as the buildout shifts from being cash-flow funded to requiring significant debt and equity issuance.
  • Gold sentiment has reversed violently, with six-month put/call skew at a 10-year high and CTA positioning collapsing to the 1st percentile, showing how government intervention in markets creates extreme sentiment swings across all asset classes.

BTC Markets (2)

  • MicroStrategy's distress stems from Saylor's refusal to build cash reserves for dividends and debt, instead levering up to buy more Bitcoin, creating a self-reinforcing downward spiral as Bitcoin price falls and equity issuance dilutes shareholders.
  • Bitcoin's narrative struggles in a new era where capital has productive alternatives like AI infrastructure, breaking the TINA dynamic that drove its previous bull cycles and highlighting its role as an insurance asset against future currency dilution.

Regulation (1)

  • The crypto industry faces a cleanup phase where scams and misallocated capital from 2022 must be cleared before legitimate projects - like simplified banking rails - can emerge, a process dependent on regulatory clarity and improved traditional market liquidity.