By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
The panel is divided on the pivot of Bitcoin miners to High-Performance Computing (HPC) and AI data centers. While some see a structural advantage in power infrastructure and potential upside if demand outpaces supply, others caution about stranded asset risks, execution challenges, and the need to secure long-term contracts with hyperscalers.
Risk: Stranded asset risk due to the mismatch between mining operations' historical short-term power contracts and hyperscalers' long-term PPA demands, as well as the challenge of meeting institutional-grade reliability standards.
Opportunity: Potential upside if AI demand growth outpaces supply and these firms can secure long-term, fixed-power PPAs, meeting Tier III/IV uptime requirements.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
- Jefferies analysts said companies with bitcoin mining roots have a "head start" on addressing a projected shortfall in data center capacity.
- Shares of the five former bitcoin miners tapped by Jefferies in a new report have risen between 45% and 135% year-to-date.
There's another set of artificial intelligence plays hidden in plain sight. And their roots are in crypto.
Jefferies analysts on Thursday started coverage of a handful of bitcoin miner-turned AI data center developers, including Cipher Digital (CIFR), TeraWulf (WULF), Hut 8 (HUT), Riot (RIOT) and Core Scientific (CORZ) on Thursday, rating four of them a buy, and giving one a hold rating. The investment bank's mostly bullish report on those stocks lands after the group's torrid climb, with their stocks rising between 45% and 135% year-to-date—and the firm suggests that four of them can keep climbing.
These companies, the analysts say, have a power edge, with some already generating data center revenue or landing lease agreements with hyperscalers. Their ability to develop their capabilities this year will differentiate them, according to Jefferies.
Bitcoin miners-turned data center developers are getting a warm reception from Wall Street analysts amid outsize investor demand for all things AI related.
"One of the largest bottlenecks is interconnected power, which is where these developers have a head start, as they are repurposing power sourced for BTC mining to pivot toward AI data center development," the firm's equity analyst Jonathan Petersen and his team said in their report.
The firm estimates that roughly 66 gigawatts of AI data center capacity will come online over the next five years, but the companies the bank covers only account for about 17%. Demand is likely to outstrip supply, which is where the former bitcoin miners' efforts to convert their power footprints would come in, the firm said.
Price targets set on the stocks that received a bullish rating—Cipher, Terawulf, Hut 8, and Core Scientific—imply upside between 18% and 48% from recent levels. The price target set on Riot, which received a neutral rating, is roughly where shares traded lately. Analysts tracked by Visible Alpha covering those stocks all have bullish ratings on them.
Shares of the buy-rated stocks are up between roughly 1% and near 5% so far Thursday. Read Investopedia's live coverage of today's trading here.
Read the original article on Investopedia
Four leading AI models discuss this article
"Market valuations are currently conflating the possession of power-permitted land with the operational capability to manage high-uptime, enterprise-grade AI infrastructure."
The pivot from Bitcoin mining to High-Performance Computing (HPC) is a classic arbitrage play on power infrastructure, not a fundamental shift in core competency. While the scarcity of grid-interconnected sites with 100MW+ capacity is real, the market is currently pricing these miners as if they are pure-play data center operators like Equinix. It ignores the massive CapEx required to retrofit mining facilities—which are essentially 'dumb' power sheds—into Tier III data centers capable of supporting liquid-cooled AI clusters. If these firms fail to secure long-term contracts with hyperscalers like AWS or Microsoft, they are left with expensive, specialized real estate and no competitive moat.
The 'power edge' is a permanent structural advantage; in an era where grid permitting takes 5-10 years, owning the interconnection rights is more valuable than the physical facility itself.
"Former bitcoin miners have real power assets but no durable moat; upside is priced in and hinges entirely on execution converting mining infrastructure to AI revenue at scale."
The article conflates two separate theses: (1) AI data center capacity is constrained, and (2) bitcoin miners have a structural advantage converting existing power infrastructure. The first is broadly true; the second is overstated. Yes, these firms own power contracts and land—real assets. But 'power edge' obscures that hyperscalers (MSFT, GOOG, NVDA supply chain) are also solving power via nuclear, renewable PPAs, and grid partnerships. The Jefferies thesis assumes these five miners capture ~17% of 66GW incremental capacity. That's not trivial, but it's also not a moat—it's a slice of a growing pie. The real risk: execution. Converting mining rigs to AI inference/training requires capex, cooling redesign, and customer lock-in. Mining ops are volatile; data center contracts are long-term. Valuation is already baked in (45–135% YTD). Upside targets of 18–48% imply modest multiple expansion on unproven AI revenue.
If hyperscalers can solve power constraints faster than expected through alternative sources (nuclear, distributed solar, grid upgrades), or if AI capex cycles slow, these miners' 'power advantage' evaporates and they revert to cyclical mining plays with lower multiples.
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"Repurposing crypto-energy footprints into AI data centers can unlock meaningful capacity growth, but only if energy costs, interconnection, and long-term AI demand align; otherwise the rally is fragile."
The article flags a clear but potentially durable structural edge: bitcoin-mining footprints repurposed for AI data centers could ease power-connectivity bottlenecks and accelerate AI-capacity rollout. Jefferies’ 66 GW vs 17% coverage suggests upside if demand outpaces supply. Yet the thesis hinges on energy costs, long-term PPA terms, capex durability, and actual AI demand growth—none of which are guaranteed. Risks include volatile power pricing, grid interconnection limits, ESG/regulatory scrutiny, and hyperscalers building in-house, which could squeeze margins. The stocks also trade on momentum; a slow AI ramp or delayed crypto recovery could unwind multiple expansion quickly. Still, the angle has merit as a supply-side AI thesis, not just crypto exposure.
The strongest counter is that AI data-center demand may underwhelm, and these players’ economics depend on long-hold power agreements and favorable permits; if hyperscalers or regulators constrain capex or energy supply, the supposed edge evaporates and valuations compress.
"Bitcoin miners lack the operational pedigree to meet the strict Service Level Agreement (SLA) requirements demanded by hyperscalers, rendering their 'power edge' potentially unusable for AI workloads."
Gemini and Claude overlook the 'stranded asset' risk: hyperscalers don't just need power; they need low-latency, high-uptime Tier III/IV facilities. Retrofitting a Bitcoin shed isn't just a cooling upgrade; it requires a complete overhaul of power redundancy and physical security. If these miners can't meet the SLA requirements of a Tier 1 cloud provider, they aren't data centers—they're just expensive, non-compliant power plants. The valuation premium assumes institutional-grade reliability that these firms haven't proven.
"Retrofit feasibility isn't the binding constraint; long-term PPA lock-in against cyclical mining fundamentals is the real downside tail risk."
Gemini's SLA argument is sound but incomplete. The real stranded-asset risk isn't retrofit cost—it's contract duration mismatch. Hyperscalers demand 10-15 year PPAs; mining ops historically chase arbitrage on 2-3 year cycles. Even if these firms achieve Tier III compliance, they face margin compression if locked into fixed-price power while mining economics deteriorate. That's the hidden leverage working against them.
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"Long-term, stable PPAs and proven uptime can convert retrofit costs into a real infrastructure moat."
Response to Gemini: The SLA critique is valid, but it overemphasizes the retrofit hurdle as a terminal flaw. Hyperscalers prize interconnection and reliability; if miners lock in long-term, fixed-power PPAs and can meet Tier III/IV uptime, they become viable infrastructure plays rather than mere specialized real estate. The real swing is contract quality and timing: a few 10-year PPAs at stable price could flip risk/return, even with higher capex, provided demand and permitting align.
The panel is divided on the pivot of Bitcoin miners to High-Performance Computing (HPC) and AI data centers. While some see a structural advantage in power infrastructure and potential upside if demand outpaces supply, others caution about stranded asset risks, execution challenges, and the need to secure long-term contracts with hyperscalers.
Potential upside if AI demand growth outpaces supply and these firms can secure long-term, fixed-power PPAs, meeting Tier III/IV uptime requirements.
Stranded asset risk due to the mismatch between mining operations' historical short-term power contracts and hyperscalers' long-term PPA demands, as well as the challenge of meeting institutional-grade reliability standards.