US-based Core Scientific, known as one of the largest bitcoin miners, has announced its intention to sell all of its bitcoin assets during 2026. The move is aimed at funding a major expansion in the artificial intelligence (AI) field. According to the company's annual report, as of December 31, 2025, Core Scientific owned 2,537 BTC, valued at $222 million at an average price of $101,639 per coin. The company plans to sell most of these assets in the first quarter of 2026, but the exact timing and volume of sales will depend on market conditions and liquidity needs. ([incrypted.com](https://incrypted.com/core-scientific-planyruet-prodat-vse-bytkoyny-v-2026-godu/?utm_source=openai)) The decision to sell bitcoins is driven by the company's strategic shift from traditional cryptocurrency mining to providing infrastructure for the high-performance computing required for AI. In March 2026, Core Scientific signed contracts worth more than $10 billion and announced plans to reach 1.5 gigawatts of leased capacity by 2028. ([investing.com](https://ru.investing.com/news/company-news/article-93CH-3135578?utm_source=openai)) To support this transition, the company has also secured a $500 million credit facility from Morgan Stanley with an option to raise up to $1 billion, which will be used to develop infrastructure for AI and high-performance computing. ([dropstab.com](https://dropstab.com/ru/news/3tn3nxi6-kompaniya-core-scientific-privlekla-500-millionov-dollarov-ot-morgan-stanley-na-fone-planov-po?utm_source=openai)) The move reflects a broader trend in the mining industry, where companies are refocusing on providing computing power for AI. Bitdeer and Riot have previously taken similar actions, selling significant amounts of bitcoins to fund AI and data center projects. ([kucoin.com](https://www.kucoin.com/ru/news/flash/core-scientific-to-sell-2-500-btc-in-2026-to-fund-ai-expansion?utm_source=openai)) Thus, Core Scientific is demonstrating strategic adaptation to changing market conditions by allocating resources to promising areas in artificial intelligence.