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Bitcoin Miners Capitalize on AI Boom with Billion-Dollar Deals

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Bitcoin mining companies have emerged as unexpected winners in 2026, thanks to a unique advantage: access to large, approved electricity connections and data center sites. This resource is highly sought after by the booming AI industry, which requires massive amounts of power for its data centers. Companies like IREN, TeraWulf, Cipher Mining, and Hut 8 have secured multi-billion-dollar deals with tech giants such as Microsoft, Amazon Web Services, Nvidia, and Google-backed Fluidstack.

The scarcity of power capacity is the key driver behind this trend. Bitcoin miners have spent years securing cheap power contracts and infrastructure, which AI developers need but cannot build quickly enough. These mining companies are now leasing their facilities and power to AI firms, signing long-term contracts that provide stable revenue. For example, IREN agreed to a $9.7 billion GPU cloud contract with Microsoft and a $3.4 billion AI cloud contract with Nvidia. TeraWulf secured a $19 billion deal with Anthropic, while Cipher Mining and Hut 8 also signed significant leases with Fluidstack and AWS.

The shift towards AI deals was partly driven by a record-low hashprice in late 2025 and early 2026, which squeezed mining margins. The hashprice fell to as low as $28 to $30 per PH/s per day, while the average cash cost to produce one bitcoin rose to about $79,995. This financial pressure pushed miners to diversify into AI revenue, which offers 10 to 15 years of fixed income. By the end of 2026, listed miners were estimated to earn up to 70% of their revenue from AI, up from about 30%.

For individual Bitcoin miners, the lesson is clear: low-cost power and efficient hardware are crucial for survival. The same principles that apply to large mining companies, securing cheap electricity and using efficient miners, can help smaller operators navigate low hashprice periods. This strategic pivot highlights how Bitcoin mining companies are evolving into energy and infrastructure businesses, leveraging their existing assets to capitalize on the AI boom.

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