This text first appeared in The Power Magazine. The unique article will be seen right here. The Power Magazine (previously The Miner Magazine) supplies information, knowledge, and insights on the vitality–compute–markets nexus.
Within the first installment of this sequence, we explored a foundational thought: Bitcoin mining was by no means nearly digital forex. It was designed as a long-term vitality system working on a provide schedule that extends over greater than a century.
Within the second installment, we examined how that system is just not distinctive to Bitcoin. Trendy AI knowledge facilities are constructed on the identical bodily basis—chips, energy, cooling, and infrastructure—all working collectively to show electrical energy into Bitcoin mining and AI processing at scale.
The AI growth has elevated demand exponentially, requiring cutting-edge infrastructure and high-efficiency know-how to help grid resilience, in the end reshaping how the digital future is constructed.
Throughout the know-how sector, builders are more and more shifting past conventional grid reliance, securing electrical energy extra straight by devoted vitality belongings. This “deliver your individual energy” strategy might really feel new to AI, however it’s a playbook Bitcoin miners have been refining for years.
This type of vertical integration has turn into a defining function of the Bitcoin mining trade. As firms have undertaken enlargement into new markets, together with the USA, they’ve labored to establish present infrastructure. Nevertheless, this wave of enlargement has not stopped at knowledge facilities—it extends into energy itself, as operators search to enhance reliability, sustainability, and affordability of the vitality provide by direct possession and partnerships with vitality firms.
This third installment builds on that evolution. If Bitcoin mining and AI knowledge facilities share the identical underlying system, the subsequent query is how firms place themselves inside it. What emerges is a spectrum of enterprise fashions—starting from outsourcing to full vertical integration.
The extra of this stack an organization controls, the extra capital-intensive it’s and the extra it influences its prices, efficiency, and in the end, its returns.
However you will need to word that this stack is just not static—and neither are the businesses working inside it.
As Bitcoin mining and AI knowledge facilities scale on the identical underlying infrastructure, the road between their enterprise fashions is starting to blur. The 2 seemingly distinct industries are more and more changing into one shared system, with stakeholders shifting throughout it in actual time.
The Entry Level: Asset-Mild Deployment
On the most elementary stage, participation in each Bitcoin mining and AI computing begins with deploying {hardware}.
In Bitcoin mining, this implies proudly owning ASIC machines—specialised chips designed to carry out a single job—and putting them into services operated by others to generate Bitcoin. In AI computing, the equal is deploying GPUs into knowledge facilities, the place they’re used to coach fashions and run workloads for purchasers.
In each circumstances, firms personal the machines—however not the infrastructure.
That infrastructure is supplied by colocation operators, which provide energy, cooling, and bodily house to run compute at scale. Traditionally, this has been seen as a supporting perform. More and more, it’s changing into probably the most vital elements of the enterprise.
Colocation is now not nearly internet hosting machines—it’s about monetizing energy and infrastructure.
Throughout Bitcoin mining, this mannequin has lengthy been embedded within the trade. Corporations like ABTC have deployed miners hosted by father or mother infrastructure operators equivalent to Hut 8 (NASDAQ: HUT), whereas others, equivalent to Cango, function fleets hosted in services managed by Bitmain. In every case, the separation between {hardware} possession and infrastructure operation defines the enterprise mannequin.
That very same construction is now rising in AI.
Corporations like Fluidstack are deploying GPU clusters by partnerships with infrastructure suppliers together with Cipher and TeraWulf, leveraging present power-connected websites to serve AI workloads with out proudly owning the underlying services. Bitdeer (NASDAQ: BTDR) is actively creating AI colocation capability at scale, together with a deliberate 180 MW facility in Tydal, Norway that’s at the moment in negotiations with a possible tenant.
As AI demand accelerates and energy turns into the limiting issue, infrastructure with present grid entry is changing into more and more useful. Many websites initially constructed for Bitcoin mining are actually well-positioned to help AI workloads, and over time, a rising share of those services—significantly throughout the U.S. and Europe—are anticipated to transition towards AI and high-performance computing functions.
In that sense, colocation is now not simply the entry level to the stack.
It’s changing into a bridge between two industries—connecting vitality, infrastructure, and compute demand in a single, evolving system.
Controlling Infrastructure
As firms transfer up the stack, the subsequent step is proudly owning the bodily setting itself.
At this stage, firms are now not simply deploying {hardware}. As a substitute of counting on third-party internet hosting, operators construct or purchase their very own services, together with knowledge facilities, substations, and cooling methods.
This shift modifications operations considerably. Infrastructure possession permits operators to regulate energy prices, optimize efficiency, and cut back dependency on exterior suppliers.
However more and more, the worth of infrastructure isn’t just within the buildings—it’s within the energy connections hooked up to them.
That dynamic is now taking part in out throughout industrial belongings that have been as soon as thought of out of date, permitting for firms to show underutilized services into highly effective engines for development
Corporations like Alcoa have begun exploring the sale of idled aluminum smelter websites to digital asset corporations equivalent to NYDIG, whereas Century Aluminum has bought a Kentucky facility to TeraWulf, which is now pivoting towards AI and high-performance computing.
Many of those websites confronted shutdown because of the gradual offshoring of high-paying trade jobs to different international locations. However they share one crucial function: they’re already related to the vitality grid at scale.
That interconnection—typically the toughest and slowest a part of constructing new infrastructure—has immediately turn into a useful asset in its personal proper.
In consequence, services initially constructed for heavy trade are discovering a second life as compute infrastructure, repurposed to help Bitcoin mining and AI workloads alike. That is bringing crucial technical roles again to the USA, rebuilding key infrastructure, and accelerating the nation as a worldwide chief in know-how and innovation.
On this setting, proudly owning infrastructure is now not nearly controlling operations. It’s about securing entry to vitality methods that may deal with growing demand whereas supporting total resilience.
Carry Your Personal Energy
However even that pool of grid-connected infrastructure is restricted.
The variety of industrial websites with present high-capacity interconnections is finite, and far of it has already been recognized or repurposed by main industries. As shopper demand for computing accelerates—significantly from AI—the dimensions of energy required necessitates options to take care of grid resilience whereas deploying new technological options.
In different phrases, the constraint is now not simply the place infrastructure exists. It’s whether or not the vitality grid itself can sustain. That strain is now forcing a broader shift.
Throughout main energy markets, operators are confronting a brand new actuality: connecting giant masses to the grid is changing into extra complicated and more and more unsure. Consequently, regulators are starting to revisit how giant vitality customers are built-in into the system.
In areas like PJM and ERCOT, grid operators have already began to regulate their frameworks in response to surging demand from knowledge facilities and different high-load customers. New guidelines and proposals are rising to manipulate how large-load knowledge facilities connect with the grid, how prices are allotted, and the way reliability is maintained amid quickly rising demand.
To handle these challenges, a rising variety of operators are shifting past the grid altogether.
A transparent instance of this strategy will be seen within the partnership between Amazon and Talen Power, the place knowledge middle infrastructure is being developed alongside nuclear era capability. Whereas AWS doesn’t personal the facility asset outright, the construction successfully aligns compute with a devoted vitality provide—mirroring the identical precept that has lengthy underpinned Bitcoin mining operations.
In Bitcoin mining, this has lengthy included co-locating with underutilized vitality sources. Corporations like New West Information flare fuel from oil manufacturing websites and use that energy to energise Bitcoin miners for additional money movement. In 2020, Greenidge Era grew to become what was referred to as the primary energy plant to straight take part in bitcoin mining, reviving an asset that might have been shut down as a result of its lack of competitiveness within the energy market.
In AI computing, the same mannequin is rising. Information middle builders are more and more partnering with—or straight constructing alongside—energy era belongings, together with pure fuel, nuclear, and most significantly, renewable vitality.
This “deliver your individual energy” mannequin transforms electrical energy from a price middle right into a strategic benefit. It permits operators to stabilize pricing, guarantee availability, and align compute capability with vitality provide.
In Bitcoin mining, this evolution has been unfolding for years and is just rising.
A transparent instance is Bitfarms. The corporate traditionally operated as a self-mining enterprise, proudly owning infrastructure and deploying its personal computational energy. However with the acquisition of Stronghold, Bitfarms moved upstream into energy era, gaining direct management over vitality belongings. It later rebranded to Keel Infrastructure, signaling a broader transition away from pure Bitcoin mining towards a mannequin that may help AI and high-performance computing workloads.
In impact, Bitcoin firms are constructing the experience to energy the demand base for the applied sciences of the longer term, together with AI.
Full Vertical Integration
For some operators, even taking possession of energy is just not the ultimate step.
On the highest finish of the spectrum, firms can management practically each element of the compute system: energy era, infrastructure, {hardware} deployment, and even chip design.
In AI computing, hyperscalers (like Amazon Net Providers, Microsoft and Google) are starting to maneuver in the identical route—creating customized chips, securing long-term vitality provide, and constructing large-scale knowledge middle campuses tailor-made to their workloads. In Bitcoin mining, this mannequin is now not theoretical. It’s already taking form.
Canaan, the earliest Bitcoin ASIC designers with its Avalon model, has expanded past {hardware} into working its personal mining infrastructure. In recent times, it has scaled proprietary computing energy by deploying its personal machines throughout websites it controls straight or by joint ventures. Earlier this 12 months, Canaan deepened that technique by buying Cipher Digital’s 49% stake within the Texas joint ventures with WindHQ, a wind electrical energy generator, shifting its publicity additional upstream within the stack.
The same trajectory will be seen with Bitdeer. Initially targeted on cloud mining and proprietary operations, the corporate has steadily expanded its management over infrastructure, scaling its unique computing energy to round 70 EH/s. It has additionally moved into energy era, together with the acquisition of land and a license for a 101 MW permitted plant in Canada, additional integrating vitality into its working mannequin.
On the similar time, Bitdeer is extending horizontally into AI processing. The corporate has begun deploying its personal GPU infrastructure for AI cloud companies whereas exploring high-performance computing colocation alternatives with tenants.
This twin enlargement—up the stack into energy and throughout into AI workloads—illustrates how the boundaries between Bitcoin mining and knowledge middle infrastructure are starting to dissolve. At this stage, the target is now not simply effectivity. It’s entry.
By operationalizing every layer of the stack, operators can optimize efficiency end-to-end, cut back publicity to exterior constraints, and outline their very own capability limits.
Whereas few firms absolutely occupy this place at this time, the route of journey is evident. The nearer operators transfer towards full integration, the extra they rework from customers of key vitality and digital infrastructure into builders of it.
Similar Stack, Totally different Positions
What emerges from this comparability is just not a narrative of two separate industries, however of 1 shared system with a number of factors of participation.
Bitcoin mining and AI knowledge facilities differ of their workloads and prospects. However structurally, they function alongside the identical continuum of possession—from asset-light deployment to infrastructure possession, to securing energy straight, and in the end to full vertical integration.
Extra importantly, these positions will not be fastened. Corporations are continuously repositioning themselves—shifting up the stack to achieve management, or throughout it to seize new sources of shopper demand. These dynamics have strengthened the Bitcoin-AI coexistence strategy: safe a large energy contract and instantly monetize it with proprietary bitcoin mining energy whereas seamlessly retrofitting the infrastructure for higher-margin AI computing colocation.
Bitcoin miners, by necessity, started fixing these issues early, and AI firms are actually arriving on the similar conclusions. The important thing distinction is now not the system itself, however how every firm chooses to navigate.
Within the subsequent installment, we are going to take this one step additional: How these fashions are starting to converge—and what meaning for the way forward for vitality, compute, and capital.
This text first appeared in The Power Magazine. The unique article will be seen right here. The Power Magazine (previously The Miner Magazine) supplies information, knowledge, and insights on the vitality–compute–markets nexus.
