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Bitcoin Mining Industry Shifts Focus Towards AI
The Bitcoin mining industry is undergoing a significant transformation as companies pivot towards artificial intelligence (AI) infrastructure. A key factor in this shift is the stark difference in market valuation between AI data centers and Bitcoin mining operations. For instance, a megawatt of installed capacity is valued at approximately $30 million for AI data centers, while Bitcoin mining companies see a valuation of only $4.5 million for the same capacity. This sevenfold difference is prompting major players like Core Scientific, IREN, and HIVE to restructure their business models to focus on AI.
“Whoever controls electricity no longer needs to mine coins to make money,” states the report from das investment.
The economic catalyst for this shift was the halving event in April 2024, which reduced block rewards for miners for the fourth time in Bitcoin's history. By February 2026, the Bitcoin price was estimated to be around 20% below the average production costs, which were approximately $137,800 per Bitcoin. This economic pressure has led companies like Cango to report a net loss of $452.8 million in 2025 and to shut down 30% of their mining capacity to repurpose it for AI infrastructure.
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Key Insights: The Bitcoin mining industry is transitioning to AI due to economic pressures, with significant differences in valuation between AI and mining operations.
Strategic Partnerships and Contracts
Core Scientific, which has recently emerged from bankruptcy, has signed a twelve-year hosting agreement with AI cloud provider Coreweave, with a potential revenue volume exceeding $10 billion and an annual run-rate of around $850 million. Analyst Alexandre Schmidt from Coinshares notes that mining currently generates about $300,000 to $400,000 per megawatt per year, while AI and high-performance computing (HPC) contracts can yield up to $1.4 million in the same timeframe.
IREN, formerly known as Iris Energy, exemplifies this strategic shift by signing a five-year contract with Microsoft worth $9.7 billion for computing power based on 76,000 Nvidia GPUs, operated on a 750-megawatt campus in Texas. This contract includes a 20% upfront payment from Microsoft, aiding IREN in covering hardware procurement costs of approximately $5.8 billion from Dell Technologies.
Key Insights: Major mining companies are forming strategic partnerships to transition to AI, with significant contracts indicating a shift in focus and revenue potential.
Challenges in Transitioning Mining Facilities
Transforming a mining facility into an AI-capable data center is technically complex. Mining facilities are designed as power shells with basic cooling and minimal redundancy, while AI workloads require a Tier-3 standard with 99.98% availability, uninterrupted power supplies, and advanced cooling solutions. The shift to liquid cooling is necessary due to the high power density of modern GPUs, which can draw over 100 kilowatts per rack, compared to traditional server racks that require only 5 to 15 kilowatts.
HIVE Digital Technologies is actively upgrading its facilities, aiming for an annualized AI cloud revenue of $200 million by the end of the fiscal year 2027. The company is also expanding its liquid-cooled AI capacity in British Columbia while upgrading its Swedish facility to meet Tier-3 standards.
Key Insights: The transition from mining to AI data centers involves significant technical challenges and capital investments, with companies like HIVE leading the way in upgrades.
Financial Strategies and Market Implications
To finance the transition, many companies are facing increased capital costs, which have risen five to tenfold per megawatt. Some mining firms, like Mara Holdings, have begun selling Bitcoin from their balance sheets to fund these investments, marking a departure from their previous HODL strategy. By the end of 2025, Mara Holdings held 53,822 Bitcoin valued at approximately $4.7 billion, while Core Scientific sold around 1,900 Bitcoin for about $175 million in January 2026.
However, this strategy has raised concerns among industry experts. Kent Halliburton from Sazmining warns that selling Bitcoin to invest in hardware could be a strategic mistake, as it relinquishes a deflationary asset for technology that may become obsolete.
Key Insights: Companies are selling Bitcoin to finance their transition to AI, raising concerns about the long-term implications of this strategy on their asset holdings.
Impact on the Bitcoin Network
The shift in focus from mining to AI is also affecting the Bitcoin network itself. In January 2026, the global hash rate fell below 1,000 exahash per second for the first time in a long while, as older mining devices were shut down. Professor Campbell Harvey from Duke University calculated that controlling 51% of the network's computing power for a week would cost around $6 billion, a feasible amount for a state actor.
Despite these changes, André Dragosch from Bitwise believes the threat remains manageable, as the Bitcoin hash rate is still near all-time highs. The network is designed to adjust difficulty automatically, making mining more profitable for remaining operators when participants exit.
Key Insights: The transition to AI is impacting the Bitcoin network's hash rate, but the network's self-adjusting mechanisms may mitigate potential threats.
Future Outlook
The mining industry is clearly dividing into two camps: infrastructure providers like Core Scientific and IREN, who are transitioning to HPC services, and specialized mining companies operating in regions with low-cost surplus power. The next halving in 2028 will be a critical test for these strategies, as it will reduce block rewards to 1.5625 Bitcoin, forcing companies to prove the sustainability of their new business models.
As the industry evolves, the balance between AI infrastructure needs and traditional mining operations will be crucial in determining the future landscape of cryptocurrency mining.
Key Insights: The future of the mining industry will depend on the success of transitioning to AI infrastructure and the sustainability of new business models in the face of upcoming challenges.
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