Bitcoin Halving Looming: Can Miners' Shift to AI Computing Ease Revenue Anxiety?

Miners at a Crossroads: Halving and the Battle for AI Computing Power

Bitcoin is set for its fourth halving, reducing block rewards from 6.25 BTC to 3.125 BTC. For miners who rely primarily on block rewards for income, this is undoubtedly a 'stress test' for profitability. Historical data shows that halvings often lead to short-term price volatility, but in the long run, miners must seek new revenue streams. Against this backdrop, a number of listed mining companies (such as Marathon Digital and Riot Platforms) are accelerating the shift of some of their computing power to artificial intelligence (AI) and high-performance computing (HPC) services, attempting to use the 'AI narrative' to hedge against the revenue anxiety brought on by the halving. Is this transformation an evolution of business models or just speculative hype in the capital markets? This article will analyze it from two dimensions: the feasibility of the business model and its impact on Bitcoin's price.

AI Computing Transformation: A Business Model Shift from 'Mining' to 'Selling Shovels'

Miners' core assets are electricity resources, cooling infrastructure, and GPU/ASIC computing power. After the halving, older ASIC miners become inefficient, while AI training and inference require GPUs (such as NVIDIA A100/H100), which are not interchangeable. Therefore, the AI transition for mining companies is not a simple 'switch' but requires building new or retrofitting existing data centers and purchasing GPU servers. According to industry analysis, the capital expenditure for this transition is substantial, but the potential returns are also considerable—AI cloud services typically have higher gross margins than Bitcoin mining and offer more stable revenue.

Take Core Scientific as an example. In 2024, the company signed a multi-year contract with AI cloud service provider CoreWeave to convert some of its data centers into AI hosting facilities. This 'computing power leasing' model allows miners to shift from 'mining and selling coins' to 'selling computing services,' making revenue less dependent on Bitcoin price fluctuations. Similarly, Hut 8 and Iris Energy are exploring a 'hybrid model': Bitcoin mining as a cash flow foundation and AI business as a growth engine. This diversification strategy, in theory, can smooth out the revenue impact of the halving, but only if AI demand remains robust and miners can effectively manage electricity costs and operational complexity.

Impact on Bitcoin Price: Is Computing Power Diversion Bearish or Bullish?

The most direct impact of miners shifting to AI is a potential decline in Bitcoin's network hashrate. If some miners completely exit mining, the network difficulty will adjust automatically, but a short-term drop in hashrate could raise concerns about 'network security' and affect investor confidence. However, historically, hashrate tends to first drop and then rise after a halving, as inefficient miners are eliminated and efficient ones expand their share. If mining companies use AI business profits to subsidize mining, they might even maintain or increase hashrate levels.

On the other hand, the AI transition could reduce miners' selling pressure. In the traditional model, miners need to regularly sell BTC to cover electricity and operational costs, creating continuous selling pressure. If AI revenue accounts for a larger share, miners become less sensitive to Bitcoin's price and may reduce forced selling, which is bullish for the price in the medium to long term. According to CoinShares research, after the 2024 halving, the average cost line for miners is around $40,000. If the price stays above this, miners still have an incentive to hold BTC. Therefore, the AI transition does not directly push up the price but indirectly supports the price floor by reducing miners' willingness to sell.

Risks and Challenges: AI Is Not a Panacea

Despite the allure of the AI narrative, mining companies face multiple risks in this transition. First, the AI computing market is highly competitive, with cloud giants like Amazon and Microsoft dominating. Miners need to differentiate themselves in pricing and services. Second, GPU procurement costs are high, and supply is constrained by chip manufacturers. If AI demand falls short of expectations, miners could face asset impairment risks. Furthermore, miners' electricity contracts are often long-term fixed-price, while AI business requires higher power stability. If electricity supply is insufficient, it could affect service quality.

Additionally, regulatory uncertainty cannot be ignored. Some countries have special policies for cryptocurrency mining, and if miners also venture into AI, they may face more complex compliance requirements. For example, some U.S. states have energy consumption limits for AI data centers, which could restrict miners' expansion pace. Therefore, the AI transition is not a 'one-and-done' solution; miners need to be well-prepared technically, financially, and strategically.

Conclusion: Short-Term Sentiment Driven, Long-Term Execution Matters

As the Bitcoin halving approaches, miners' shift to AI computing is essentially a repricing of 'miner survivability.' In the short term, the AI narrative may boost mining stocks and even market sentiment, but the core drivers of Bitcoin's price remain supply-demand dynamics and macro liquidity. In the long run, the success of the AI transition depends on miners' execution—whether they can control costs, acquire customers, and maintain financial stability. If successful, miners will no longer be 'passive price takers' but 'active managers,' contributing to industry maturity. Conversely, if the transition fails, miners may exit faster, but Bitcoin's self-adjusting network ensures its security. Regardless, the intersection of the halving and AI marks the mining industry's entry into an era of 'intensive cultivation,' and Bitcoin's price will more accurately reflect its true value rather than mere sentiment swings.