Why Are Bitcoin Miners Turning to AI Collectively? The Surprising Reasons Behind It

This article is written by Tiger Research and explores how the sharp decline in Bitcoin prices has forced miners to change their business models.

Key Points

• Unstable income and rising Bitcoin mining costs have made the core business of crypto mining companies unstable.
• Therefore, crypto mining companies are transforming by leasing data center space to large tech firms using their existing mining farms.
• This move reduces intense competition and makes the industry more resilient.

1. Business Risks Faced by Crypto Mining Companies

We previously analyzed the financial risks brought by the decline in Bitcoin prices to Digital Asset Treasury (DAT) reserve companies. However, it’s not only DAT companies under pressure. Bitcoin mining companies that directly operate mining businesses also face significant risks.

The vulnerability of mining companies stems from their simple business structure. Revenue depends almost entirely on Bitcoin prices, which are inherently unpredictable. In contrast, costs tend to increase over time.

• Unpredictable Revenue: Company income is entirely dependent on Bitcoin market prices.
• Structural Cost Increases: Mining difficulty continues to rise, electricity prices increase, and hardware needs regular replacement.

This structure becomes especially problematic during Bitcoin price declines. Revenue drops immediately, while costs keep rising. Mining companies find themselves in a double bind.

Regulatory risks add another layer of uncertainty. New York State has proposed a bill to increase consumption taxes for mining companies. Currently, most large crypto mining firms are located in regions like Texas with relatively lax regulation, so the short-term impact is limited. Nonetheless, broader regulatory pressures still pose risks.

Against this backdrop, mining companies face a fundamental question: Can this business model remain viable in the long term?

2. Structural Fragility of Crypto Mining Companies

So far, the average cost to mine one Bitcoin is about $74,600, up nearly 30% from a year ago. When factoring in depreciation, equity incentives, and other costs, the total production cost per Bitcoin rises to approximately $130,000.

Currently, Bitcoin’s trading price is around $90,000, meaning mining companies incur an accounting loss of about $46,000 per Bitcoin mined. This gap highlights the growing disconnect between operational costs and market prices.

Over time, the situation becomes even more fragile. Compared to 2022, Bitcoin mining difficulty is expected to increase significantly by 2025, while energy regulation in multiple regions tightens. These factors reduce cost predictability and weaken the structural stability of mining operations.

3. Transition to AI Data Center Leasing

As competition in the AI field intensifies, large tech companies’ demand for data centers is also surging. However, building new data centers takes years. Waiting is unacceptable in the fast-paced AI race measured in months or quarters.

Mining companies have identified an opportunity in this market gap. Their current facilities are equipped with high-performance computing hardware, large-scale power supplies, and advanced cooling systems. While these facilities cannot be completely transformed overnight, their specifications align closely with the needs of large tech firms. This enables them to quickly pivot into AI data center operations.

• High-Performance GPUs: Crypto mining companies operate large GPU clusters, which can be repurposed for AI computing. NVIDIA GPUs are a common example. By adjusting their facilities, these assets can support new revenue streams beyond mining.
• Power Infrastructure: Mining companies have access to hundreds of megawatts of grid capacity. In regulated power markets, such access is scarce and difficult to replicate, even with capital.
• Cooling Systems: Experience from ASIC mining operations can be effectively applied to managing high-heat AI servers like H100 and H200. Many mining farms can be converted into AI data centers within six to twelve months.

Core Scientific is a typical example. The company faced bankruptcy risk in 2022 but successfully pivoted into AI data center operations. Currently, it manages about 200 MW of data center capacity and plans to expand to 500 MW gradually. This transformation from struggling mining company to data center leasing enterprise demonstrates how utilizing alternative infrastructure can help stabilize growth.

Other mining firms are also adopting similar models. IREN and TeraWulf are expanding beyond core mining operations. While they have not fully transitioned into data center leasing, they are developing supplementary business models outside Bitcoin mining.

These initiatives reflect a broader trend. As mining profitability declines, crypto mining companies are seeking business models better suited to the AI era. This shift is more out of necessity than growth ambition.

4. Diversification Strategies of Crypto Mining Companies

The shift of crypto mining companies from unprofitable mining to AI data center businesses is not a temporary trend but a rational survival strategy aimed at reallocating capital to more efficient uses.

This transition should not be viewed negatively. On the contrary, it helps mining companies establish more stable cash flows. With more reliable income, companies can continue holding Bitcoin without being forced to sell at low prices.

Another option is far less favorable. Companies with ongoing negative cash flow face bankruptcy risks and are often forced to sell Bitcoin at unfavorable prices. In contrast, income from data center leasing allows mining companies to hold or sell Bitcoin strategically, benefiting both the companies and the broader market.

Not all companies focus solely on data center leasing. Some, like Bitmine and Cathedra Bitcoin, are expanding into other DAT-style business models beyond mining.

In summary, these changes indicate that the crypto mining industry is maturing. Less competitive players are exiting or transforming, reducing mining pressure. Meanwhile, leading firms are evolving from simple mining operations into diversified DAT businesses.

In fact, weaker links are being eliminated, making the overall market structure more resilient.

(The above content is authorized for excerpt and reprint by our partner PANews. Original link | Source: Tiger Research)

Disclaimer: This article is for market information only. All content and viewpoints are for reference only and do not constitute investment advice. They do not represent the objective opinions or positions of Block. Investors should make their own decisions and transactions. The authors and Block are not responsible for any direct or indirect losses resulting from investor transactions.