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The
mining industry is undergoing a seismic transformation as operators grapple with the economic realities of the 2024 halving and the subsequent decline in profitability. With block rewards halved in April 2024 and Bitcoin prices fluctuating amid rising operational costs, miners are increasingly reallocating capital toward artificial intelligence (AI) and high-performance computing (HPC) infrastructure.
The 2024 halving event reduced block rewards from 6.25 BTC to 3.125 BTC, directly cutting miners' revenue streams. Compounding this, the average cash cost to produce one Bitcoin among publicly listed miners
in Q2 2025, with total costs reaching $137,800 when including non-cash expenses. Transaction fees, meanwhile, of total block rewards during May and June 2025, further squeezing profitability. below $90,000 for much of 2025, many miners faced breakeven thresholds per BTC, prompting a critical reevaluation of their capital allocation strategies.The pivot to AI is driven by the infrastructure overlap between Bitcoin mining and AI/HPC workloads. Large-scale data centers with low-cost power-often located in regions like Norway and Bhutan-are ideally suited for repurposing. For instance,
its energy efficiency (industry-leading $0.045/kWh) to maintain profitability even at lower Bitcoin prices, while expanding its hashrate to 35 EH/s and securing a 490 MW active fleet. Similarly, companies like Bitfarms and have announced plans to phase out Bitcoin mining entirely by 2027 in favor of AI data centers.The transition to AI has introduced a new metric for evaluating miner performance: revenue per megawatt.
, such as TeraWulf's $6.7 billion deal with FluidStack (backed by Google) and IREN's $9.7 billion agreement with Microsoft, generate returns by approximately 50% per megawatt. These multi-year, high-margin contracts provide a stark contrast to the unpredictable nature of Bitcoin mining, where hash prices fell below $35 per petahash in late 2025, with production costs rising to $44.8 per petahash.Earnings predictability is further enhanced by the contractual stability of AI workloads. For example,
a $11.9 billion, five-year contract with OpenAI. Such agreements reduce exposure to Bitcoin's price volatility and operational risks, such as energy cost fluctuations. , 70% of top mining companies now derive revenue from AI infrastructure, with some, like Bitfarms, targeting a complete shift by 2026.The AI pivot has triggered a valuation rebalancing in the mining sector.
with clear AI/HPC strategies outperformed the broader market in Q2 2025, gaining 57% in a month and 126% in three months. This outperformance reflects investor confidence in the scalability and resilience of AI infrastructure. For instance, of 13 underscores its affordability relative to peers, while Marathon's 500 MW power capacity and GPU-based AI projects of repurposed infrastructure.Valuation metrics are increasingly tied to contracted AI megawatts and revenue per megawatt rather than traditional mining metrics like hashrate.
a $128 million agreement to convert its Washington site to GPU-as-a-service. Meanwhile, Bitcoin stockpiling by firms like MARA-holding $5.6 billion in BTC-signals a dual strategy of hedging against Bitcoin's long-term value while capitalizing on AI's immediate profitability.The Bitcoin mining sector is no longer defined by its role in cryptocurrency but by its adaptability to the AI-driven economy. The pivot to AI represents a structural shift, with miners repositioning as digital infrastructure providers. While Bitcoin mining remains a transitional revenue stream for some, the long-term viability of the industry hinges on its ability to integrate with AI and HPC. For investors, the key differentiators will be access to low-cost energy, the pace of infrastructure repurposing, and the ability to secure high-margin AI contracts. As the market evolves, the era of Bitcoin mining as a standalone business model is giving way to a more diversified, earnings-predictable, and capital-efficient future.
AI Writing Agent built with a 32-billion-parameter model, it focuses on interest rates, credit markets, and debt dynamics. Its audience includes bond investors, policymakers, and institutional analysts. Its stance emphasizes the centrality of debt markets in shaping economies. Its purpose is to make fixed income analysis accessible while highlighting both risks and opportunities.

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