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Home - News - Majority of Bitcoin Miners Use AI Earnings to Navigate Bear Market

News

Majority of Bitcoin Miners Use AI Earnings to Navigate Bear Market

Hardy Zad
Last updated: November 9, 2025 10:10 am
Hardy Zad
Published: November 11, 2025
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Majority of Bitcoin Miners Use AI Earnings to Navigate Bear Market

Defining scope is being altered by the sector’s vanguards, as shown by classifying the foremost Bitcoin excavators based on AI income and hashrate.

Contents
  • AI Partnerships Transform Mining Economics and Shift Investor Focus
  • Economic Viability Depends on Power and Predictability
  • Realignment Alters Key Metrics in the Mining Rankings
  • Investors Focus on Revenue Composition Over Exahash Alone

Seven of the leading ten excavators by hashrate disclose AI or superior-performance computation ventures already yielding revenue, with the remaining three planning to adopt the same approach.

The transition links the excavators’ powered parcels and connections with pledged income from GPU clients, and a subsequent source of commerce is formed that vies with operating ASICs at maximum output.

AI Partnerships Transform Mining Economics and Shift Investor Focus

The benchmark was established by TeraWulf after concluding two decade-long provision accords with Fluidstack, summing up to roughly 200 MW at Lake Mariner.

As per Barron’s, a segment of Fluidstack’s rental responsibilities is being guaranteed by Google, reaching nearly $1.8 billion, and it has been given guarantees that might correspond to around 8 percent of TeraWulf. The revealed transaction figures suggest approximately $1.85 million per MW each year of headline proceeds during the duration, which is now utilized by many excavators as a standard when seeking AI occupants.

A 12-year affiliation was extended by Core Scientific with CoreWeave for roughly 70 MW of supplemental high-performance computing (HPC) aptitude, with functioning expected in the latter half of 2025. Bitdeer persists in managing a commercial AI cloud founded on NVIDIA DGX apparatus, while Iris Energy discloses an AI cloud venture running on H100 and H200 GPUs.

Property is being constructed by other entities for the subsequent surge. CleanSpark announced on October 29 that 271 acres and roughly 285 MW of extended-duration energy was obtained by it in Texas for what it terms a future AI and HPC facility. Marathon consented in August to procure 64 percent of Exaion, an EDF offshoot, to broaden its worldwide AI and HPC aptitudes, with a choice to augment its holding to 75 percent by 2027.

The transformation of roughly 600 MW at Corsicana for AI or HPC has been evaluated by Riot, and a segment of its excavation growth has been halted, leading to a decrease in year-end 2025 hashrate prediction from 46.7 EH to 38.4 EH. Consultants have been employed by Bitfarms to perform a viability examination and its locations have been promoted to AI patrons.

Cipher Mining is stated to possess a multi-year Fluidstack agreement encompassing a Google-related rental pledge, even though all stipulations are not revealed in a solitary principal document. Abu Dhabi’s Phoenix Group has indicated intentions to expand data-center capacity surpassing 1 GW, with an AI concentration, and it is examining a U.S listing to finance the enlargement.

Economic Viability Depends on Power and Predictability

Based on the contemporary network scenario of approximately 1.08 to 1.10 ZH and 144 segments per day with charges that have fluctuated from roughly 0.3 to 2.0 BTC per segment, around 0.059 EH of hashrate is derived from one MW of modern ASICs at nearly 17 J.

That portion of the network secures roughly $1.0 to $1.6 million per MW each year in total excavation proceeds prior to energy and operational expenses opex, at a Bitcoin value of almost $104,000, as verified by CoinWarz information for cost and hashrate. The intermediate point of that span, around 1.2 to 1.3 million dollars, lags the $1.85 million per MW each year suggested by TeraWulf’s AI agreements.

Energy cost, asset outlay capex, and usage govern profit margins in either framework. Nevertheless, the contractual essence of AI provision has evolved into a crucial characteristic sought by stockholders desiring firmer currency movements instead of unadulterated susceptibility to hazard and charges.

Large-scale necessity for data-facility energy supplies the context. Diagrams from McKinsey demonstrate that U.S data-center electrical consumption might attain nearly 606 TWh by 2030 as AI tasks expand. ERCOT forecasts peak demand records over the subsequent half-decade, with data centers a chief element, as around 35 GW of peak data-center load is inferred by analyses for 2035.

Service providers are adapting, with American Electric Power elevating its five-year asset blueprint to $72 billion as it processes a queue of client-supported agreements and more than 190 GW of load petitions under construction, as reported by Reuters. Those figures correspond with the excavators’ claim that their grid linkages, transformer facilities, and land holdings are now rare resources for AI locations, not solely for exahash.

Realignment Alters Key Metrics in the Mining Rankings

Reduced publicized hashrate expansion may be registered by an excavator that channels fresh megawatts toward AI than a sole-focus enterprise. However, its organizational worth can advance through guaranteed proceeds, energy choice, and lengthier accords.

A 12-year endorsement was affixed to the framework by Core Scientific’s augmentations with CoreWeave. CleanSpark’s 285 MW scheme and Marathon’s Exaion acquisition impel excavators toward possessing and managing versatile facilities where GPUs, mining apparatus, and occasionally typical co-location are able to share foundations. Riot’s open assessment of 600 $\text{MW}$ at Corsicana shows how swiftly the combination can transform when a location already has transformer units, switching mechanisms, water entitlements, and fiber connectivity established.

Restrictions exist. ERCOT interconnection schedules, gas turbine accessibility for new capacity boosters, and transformer waiting periods all prescribe how rapidly high-density venues can be activated. GPU inventory is still a variable element as Blackwell and subsequent components augment and as hyperscale operators allot stock to in-house construction.

On the digital asset front, any alteration in charge systems that significantly elevates costs per segment can reduce some of the per-MW proceeds discrepancy between excavation and AI provision. A change of nearly 0.5 BTC per segment in persistent median charges is valued at roughly $0.2 to $0.3 million per MW each year in total excavator income at present cost tiers, applying the straightforward portion-of-network calculation above.

Investors Focus on Revenue Composition Over Exahash Alone

Pledged AI megawatts and dollars per MW each year are transforming into the latest statistics to monitor. The $1.5 to $2.0 million per MW each year range is rising as a usable standard for high-density provision in the U.S., with TeraWulf’s revealed amount being utilized as a current exemplar.

Capital expenditure blueprints of service providers and interconnection queue revisions are currently as pertinent to excavator forecasts as ASIC shipment timelines. As on-the-spot energy supply diminishes in the U.S., excavators with already activated parcels, authorized sites, and excess transformer facilities are able to monetize that choice more rapidly than new competitors.

Significance is added by the global dimension. Marathon’s action with Exaion connects a U.S. excavator to an EDF subsidiary within the French power infrastructure, synchronizing GPU provision with government-adjacent energy resources.

Sovereign power economics is introduced into the combination for AI foundations by Phoenix Group’s scheme to enlarge in the Gulf, while a U.S. listing is being considered.

More excavators could be drawn into shared ventures by those configurations where service providers or energy contributors solidify extended-term agreements in exchange for capacity entitlements, prioritized connections, or stock interests.

For digital asset fundamentals, the adjustment might curb the speed at which network hashrate grows through 2026 if considerable segments of fresh energy are redirected to GPUs rather than ASICs. Hash will still be augmented by the network as new locations activate and as outdated apparatus refreshes, yet the gradient can decrease relative to the previous acceleration.

That would not prevent funding from accessing excavation, as elevated bitcoin prices and charge accelerations can yet enhance returns; nonetheless, the hashrate leadership chart is rendered a less effective measure for stock worth than it was in preceding cycles.

A brief overview is provided below of where the largest publicly traded excavators are positioned presently. The condition mirrors whether AI HPC is already yielding income or remains in the design or assessment stages, as determined by corporate revelations and prevalent accounts.

What to observe now is straightforward and quantifiable. Pledged AI megawatts and dollars per MW each year should be tracked in fresh documentation, service provider asset outlay paths, and ERCOT load alterations, along with thirty-day means for bitcoin charges compared to the incentive utilizing information such as CoinWarz.

Those facts will indicate how substantially excavation energy is reallocated to GPUs, how swiftly facilities activate, and how the per-MW proceeds disparity progresses. The most sizable excavators are already implementing that strategy.

TAGGED:BitcoinLatest News on Artificial Intelligence (AI)MarketsTechnologyU.S.

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ByHardy Zad
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Hardy Zad is our in house crypto researcher and writer, delving into the stories which matter from crypto and blockchain markets being used in the real world.
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