• Bitcoin miners chase 30 GW AI capacity to offset hashprice pressure Public Bitcoin miners are developing 30 gigawatts of AI-focused power capacity, nearly triple current levels, as post-halving margin pressure reshapes the industry. • Cointelegraph in your social feed Public Bitcoin miners are planning about 30 gigawatts of new power capacity aimed at artificial intelligence workloads, nearly three times the 11 GW they currently have online, as they race to offset shrinking mining margins and reposition for the next growth cycle. • The buildout, compiled by TheEnergyMag across 14 publicly traded Bitcoin (BTC) miners, underscores how aggressively the industry is pivoting away from traditional hashpower amidpersistently weak hashprice conditions. • On paper, the planned expansion amounts to what TheEnergyMag described as “a small country’s worth of power infrastructure.” In reality, much of the 30 GW sits in development pipelines, interconnection queues or early-stage plans, rather than operational facilities. • The widening gap suggests competition is shifting fromASIC efficiencyto securing power, financing and delivering data centers on time. • “This is the megawatt arms race of the AI boom,” TheEnergyMag said, adding that monetization ultimately depends on whether AI demand remains strong enough to justify the scale of investment.
Article Summaries:
- Public Bitcoin miners are planning roughly 30 GW of new power capacity for artificial‑intelligence workloads, nearly triple the 11 GW they currently operate, according to a compilation by TheEnergyMag of 14 publicly traded miners. The expansion reflects a strategic shift away from traditional ASIC hashpower toward securing electricity, financing and data‑center delivery amid weak hash‑price conditions and post‑halving margin pressure. While much of the 30 GW is still in development or interconnection queues, some firms-such as HIVE Digital-have already begun generating revenue from AI and HPC services. Investors are watching the pivot closely, as it could reshape miners’ revenue models and competitive dynamics.
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