The explosive growth of artificial intelligence (AI) has triggered a wave of strategic moves within the cryptocurrency sector. Bitcoin mining companies, with their extensive data center infrastructure, high-capacity fiber optic connectivity, and massive power contracts, are finding themselves at the heart of this transformation. These assets are precisely what compute-intensive AI operations require, leading to surging demand for the facilities and expertise of crypto firms.
At the same time, cryptocurrency mining companies are actively seeking to diversify their revenue streams. The industry faced a significant financial pressure following the Bitcoin "halving" in April 2024—an event that occurs approximately every four years, reducing the rewards for mining new coins and making the business of token generation less profitable. As noted by J.P. Morgan analysts, this halving effectively cut industry revenues in half, prompting many operators to explore exit strategies and new business models.
Now, with the booming AI industry hungry for computational capacity, Bitcoin miners are rapidly finding ways to monetize their substantial capital investments. Mergers, financing deals, and partnerships are quickly coming together as a result.
The Insatiable Energy Appetite of AI
The AI boom has brought increasing attention to the critical resource at the heart of its infrastructure: power. There is no doubt that AI is an extremely energy-intensive field. Data centers and supercomputing hubs are veritable "energy giants." Some experts project that by 2027, the annual electricity consumption of the AI industry could reach between 85 and 134 terawatt-hours—nearly equivalent to the entire annual power demand of a country like the Netherlands.
A report from the International Energy Agency (IEA) also highlighted that electricity consumption from data centers is set to increase dramatically in the near future, driven largely by demands from AI and cryptocurrency mining.
Numerous industry leaders have issued warnings about the impending energy crisis linked to AI expansion. In January 2024, OpenAI CEO Sam Altman acknowledged that the AI industry is facing an energy crisis, noting that future advancements will require breakthroughs in energy production because power consumption will far exceed current expectations. Later in February, Tesla CEO Elon Musk stated that while the chip shortage may have passed, the breakneck speed of AI and electric vehicle expansion will lead to global shortages in power and transformer supply by next year. Perhaps most starkly, NVIDIA CEO Jensen Huang remarked, "The future of AI is光伏 (photovoltaics) and energy storage! If we only consider computing, we would need to burn the energy of 14 Earths. Super AI will become a bottomless pit of power demand."
A key reason for this immense consumption is that AI relies on processing enormous datasets. The constant shuttling of data between storage chips and processors is an extremely power-hungry process.
Core Scientific Partners with CoreWeave in Major AI Deal
In a significant move, U.S.-based Bitcoin miner Core Scientific announced an expanded agreement with CoreWeave, an NVIDIA-backed cloud service provider and a key supplier of technology for running AI models. Under the deal, Core Scientific will provide 70 megawatts of computational infrastructure to support CoreWeave’s operations.
The company stated that this agreement is expected to generate an additional $1.2 billion in revenue over 12 years, building on an existing $3.5 billion income stream. Overall, Core Scientific plans to supply CoreWeave with approximately 270 megawatts of infrastructure by the second half of 2025, with the potential to add another 230 megawatts at other sites.
This announcement came shortly after CoreWeave made a $1.02 billion offer to acquire Core Scientific—a bid that was rejected. Core Scientific, which returned to public markets in January after a period of bankruptcy, currently holds a market capitalization of around $1.8 billion. As CEO Adam Sullivan noted in a press conference, "The world is changing, and many data centers built over the past 20 years are not fit to support the computing needs of the future."
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Hut 8 Secures Funding for AI Infrastructure Expansion
Just one day before Core Scientific’s announcement, Bitcoin mining group Hut 8 revealed that it had raised $150 million in debt financing from private equity firm Coatue. This capital is intended to help the company build out a portfolio of AI-dedicated data centers.
The Miami-based company is among the many crypto miners pivoting toward AI. In its Q1 earnings report last month, Hut 8 disclosed that it had purchased its first 1,000 NVIDIA GPUs and secured a customer agreement with a venture-backed AI cloud platform. According to data from CoinShares, 6% of Hut 8’s current sales already come from AI.
Coatue partner Robert Yin noted in the funding announcement, "The broader market is beginning to recognize the scarcity of high-quality power assets, and Hut 8 has built a deep pipeline of highly attractive expansion assets."
Hut 8 CEO Asher Genoot recently shared that his company has "finalized commercial agreements for our new AI vertical under a GPU-as-a-service model, including a customer agreement that features fixed infrastructure payments and revenue sharing."
Bit Digital Shifts from Crypto to GPU Acquisition
Another miner, Bit Digital, announced on Monday that it had signed an agreement to supply 2,048 NVIDIA GPUs to an unnamed client over a three-year period, effectively doubling its number of deployed processors. It is estimated that AI already contributes 27% of the company’s revenue.
To fulfill this contract, Bit Digital ordered 256 servers from Dell Technologies and will soon deploy them in a data center located in Iceland. The company expects this contract to generate $92 million in annual revenue. It partially financed the GPU acquisition by selling some of its cryptocurrency holdings, stating, "The company intends to fund the transaction with a mix of cash and digital assets on the balance sheet."
Additionally, Bit Digital entered into a sale-leaseback agreement for half of the new GPUs, reducing its capital expenditure. In such an arrangement, another firm owns the hardware, and Bit Digital leases it back to generate revenue by providing computational services to its end client.
Broader Industry Moves Beyond Mining
While most recent activity has involved mining companies, there have been exceptions. Earlier this month, trading platform Robinhood agreed to acquire Luxembourg-based cryptocurrency exchange Bitstamp for approximately $200 million in cash.
Bitstamp holds 50 active licenses and registrations globally and is particularly popular in Europe and Asia. This acquisition will help the retail-focused Robinhood strengthen its cryptocurrency business to better compete with rivals like Coinbase.
The transaction is expected to close next year, as Robinhood faces regulatory challenges in the U.S. regarding its crypto operations. In May, the company received a Wells Notice from the SEC related to its cryptocurrency business—the same regulatory body that has also sued exchanges like Coinbase. As of Q1, Robinhood held $4.7 billion in cash and equivalents. Its stock price has risen 75% year-to-date.
Frequently Asked Questions
Why are Bitcoin mining companies pivoting to AI?
Bitcoin miners possess key infrastructure—data centers with high-power capacity and robust cooling systems—that is also essential for AI computation. After the Bitcoin halving reduced mining profitability, many are diversifying into AI to monetize their existing assets.
What is the main challenge for AI's growth?
A primary constraint is energy supply. AI data centers consume enormous amounts of electricity. Industry leaders warn that without new energy breakthroughs, power shortages could hinder the growth of compute-intensive AI applications.
How are miners funding their transition into AI?
Companies are using various strategies: forming partnerships with AI firms, securing debt financing, selling portions of their crypto holdings, and using sale-leaseback agreements for hardware to reduce upfront capital expenditure.
Is this trend only affecting large mining companies?
While large publicly-traded miners have been most visible in this shift, the trend reflects a broader industry movement. Any operator with significant data center capacity and power resources is well-positioned to enter the AI infrastructure market.
What does the future hold for crypto miners in AI?
The synergy between mining infrastructure and AI compute needs is strong. As AI demand grows, more miners are likely to repurpose their facilities, either through partnerships, new service offerings, or by pivoting entirely to providing computational power for machine learning.
Are there regulatory risks for companies operating in both crypto and AI?
Both sectors face evolving regulatory landscapes. Companies entering this space must navigate electricity usage regulations, financial compliance for crypto operations, and emerging AI governance frameworks. Diversification may help mitigate sector-specific risks.