BTC miners are betting on AI

BTC/USD

Key zone: 65,000 - 70,000

Buy: 70,500 (on strong positive fundamentals); target 75,000; StopLoss 69,500

Sell: 65,000 (after retesting the 67,500 level) ; target 63,500-61,500; StopLoss 66,000

Large players are seeking to move away from primitive crypto mining processes and are trying to diversify the resources of their infrastructure. Some miners are leaving the standard network because profit opportunities from using AI have become too attractive.

The list of such “modernized” miners is impressive: Bit Digital, Bit Mining Ltd., Bitfarms, Cango, Cipher Mining, CleanSpark, Galaxy Digital, Hut 8, MARA Holdings, Riot Platforms. The degree of AI integration varies, but by the end of this year, such companies will clearly form the majority.

The key driver of change has been a sharp deterioration in mining economics. The cost of mining one BTC for public companies in 2025 reached nearly $80,000, while the market price often remained below this level, making operations unprofitable.

Recall:

Additional pressure came from another reduction in block rewards (halving), embedded in Bitcoin’s model, which structurally reduces miners’ revenues.

As a result, many companies faced a choice: either modernize their business model or leave the market.

The transition into AI is well justified: companies already possess critically important assets:

• powerful data centers
• cheap electricity
• cooling systems
• experience in managing high-load infrastructure

These resёources are almost perfectly suited for high-performance computing tasks. In addition, the economics of AI infrastructure look significantly more attractive:

• more stable and predictable revenues
• higher revenue per megawatt of capacity
• long-term contracts with technology companies

The scale of the transformation has already become systemic:

• AI infrastructure contracts worth over $65–70 billion have been signed;
• major players are selling off Bitcoin reserves to finance the transition;
• some companies are completely abandoning BTC holdings on their balance sheets.

Such “optimization” of the process creates a risk of crisis, as a rapid loss of mining capacity over a short period of time may lead to problems with Bitcoin’s ability to process transactions and ensure the inflow of new blocks.

The emergence of AI data centers as a new source of income has changed the economics of the entire business. If previously mining was a form of monetizing computing power through cryptocurrency, now companies are moving to a more direct model:

• was: computing – hashing – BTC mining – selling;
• now: computing – AI model training – direct contracts.

The second scheme is economically more profitable.

The recent drop in BTC price from $125000 to $66000 is also putting pressure on many miners, who are operating at significant losses at these levels.

Despite the obvious advantages, the transition to AI mining carries a full set of explicit and hidden risks:

• hardware incompatibility: ASIC miners are not suitable for AI tasks, requiring costly replacement with GPU clusters;
• capital intensity: AI infrastructure requires billions in investment;
• competition with tech giants (not always fair!): companies like hyperscalers (AWS, Google, Microsoft) already dominate the market;
• demand dependency: if the AI market cools (for any reason), the mining business model will have to be revised again.

And what is the result?

Nevertheless, supporters of “traditional mining” believe these concerns are nothing more than a marketing narrative, and that standard crypto networks remain sufficiently resilient. They maintain a long-term view of BTC as a global reserve asset, continue mining within the network, and do not sell their token reserves.

Regardless of the degree of adoption of new methods — financial and technical — only the most efficient players will survive in this market.

So we act wisely and avoid unnecessary risks.

Profits to y’all!