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BTC mining company transforms AI infrastructure: January-July stock prices soared, Riot (RIOT.US) led 83%

Zhitongcaijing·08/14/2026 00:41:19
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According to Woofun AI, Bitcoin mining-related stocks, driven by transformation in the field of artificial intelligence infrastructure, showed an independent upward trend away from the traditional encryption cycle. CryptoQuant analyst JA Maartunn's figures confirm that this phenomenon marks a restructuring of the industry's underlying logic: companies no longer simply rely on computing power output, but are committed to becoming power and data center suppliers for AI companies.

Judging from the specific market performance, the stock prices of leading mining companies increased astonishingly from January to July. By the end of July, Riot Platforms (RIOT.US) topped the list with a year-on-year increase of 83%, showing strong market leadership. It was followed by Hut 8 (HUT.US), which rose 72%; Bitfarms (BITF.US) recorded a 50% increase; and Core Scientific (CORZ.US) also achieved a significant 31% recovery.

Data compiled by Woofun AI shows that even in the context of sharp fluctuations in the cryptocurrency market, these companies have maintained strong momentum, indicating that the capital market is highly appreciative of their new strategic direction. This collective valuation repair did not stem from a short-term rebound in Bitcoin prices, but a fundamental shift in investors' logic of revaluing mining companies' assets.

The underlying reason lies in a complete restructuring of the business model. In order to train and run large language models, artificial intelligence companies have extremely high and continuous demand for computational power. Bitcoin mining companies with existing power purchase agreements and large-scale industrial facilities have a natural transformation advantage. Not only can they continue to maintain the Bitcoin network, but they can also use idle resources to provide high-performance computing services, thereby generating more stable and predictable revenue. Maartunn pointed out that now the core of competition has moved from simply ASIC mining equipment efficiency to power procurement, grid access, and the ability to build and operate infrastructure to support the development of artificial intelligence. Cheap electricity, grid access, and scalable infrastructure are now as important as the most advanced ASIC mining equipment.

This shift means diversification of revenue sources, and also represents a fundamental change in the way mining companies evaluate their assets. The ability to operate data centers is becoming increasingly important in a competitive landscape, and companies need to sign long-term contracts with artificial intelligence companies that require large amounts of electricity and professional data center facilities to lock in future benefits.

However, this transformation path has not been without its challenges. Building data centers, obtaining relevant permits, and negotiating contracts with tech giants are all extremely complex tasks. They are very different from operating an ordinary mining farm, and there are significant implementation risks. Furthermore, the regulatory environment is also a factor that cannot be ignored — some regions are scrutinizing the energy consumption of cryptocurrency mining and data centers.

However, job creation and the possibility of technological progress may ease some of the concerns, particularly in regions where renewable energy is surplus. For investors, mining stocks need to be evaluated from two dimensions: its core cryptocurrency business and the emerging artificial intelligence business. The strong performance of Bitcoin mining-related stocks since this year reflects the evolution of strategies within the industry. As these companies move into the field of artificial intelligence infrastructure, they are transforming from simple cryptocurrency miners to tech companies with diversified businesses.

While this trend brings new opportunities, it also requires careful analysis of each company's ability to achieve its AI development goals. Market sentiment is currently optimistic, but long-term success will still depend on the company's ability to operate and the continued growth in demand for artificial intelligence.