Bitcoin mining firm CleanSpark has sold nearly all of the bitcoin it produced in February as the company shifts capital toward a major expansion into artificial intelligence and high-performance computing infrastructure.
According to the company’s latest operations update, CleanSpark sold roughly 97% of its February bitcoin production, a move designed to generate cash flow for its growing AI and data-center strategy. (CoinDesk)
The sale marks a departure from the strategy many bitcoin miners used in recent years, when companies often held a large portion of mined bitcoin on their balance sheets in anticipation of higher prices.
Instead, CleanSpark is redirecting liquidity toward building AI-focused data center infrastructure, an increasingly popular pivot among crypto miners seeking to diversify revenue streams.
The Nevada-based firm has been aggressively positioning itself as both a bitcoin miner and a provider of high-performance computing (HPC) capacity for artificial intelligence workloads. Industry players are increasingly looking to leverage their existing power infrastructure, computing hardware, and energy contracts to serve the rapidly growing AI sector.
CleanSpark’s broader expansion strategy includes developing large-scale computing campuses and securing long-term power agreements to support AI data centers. The company has already acquired land and infrastructure in Texas as part of its push into AI and HPC markets.
The shift reflects a wider transformation in the bitcoin mining industry. Following the 2024 bitcoin halving, which reduced block rewards for miners, many companies have begun exploring new revenue sources beyond crypto mining.
By selling most of its February production, CleanSpark appears to be prioritizing capital deployment into infrastructure that could generate steady revenue from AI clients — rather than relying solely on bitcoin price appreciation.
If successful, the move could position the company as part of a new hybrid model emerging across the sector: firms that mine bitcoin while simultaneously operating energy-intensive AI compute facilities.