Bitcoin Mining Per Coin Faces Approximately $19,000 Loss, Mining Companies Accelerate Shift to AI and Computing Power Business
Svmuu News: Due to the current pressure of facing approximately $19,000 in losses per Bitcoin mined, mining companies are accelerating their transition into the fields of artificial intelligence and high-performance computing. They are funding the investment in related infrastructure by selling part of their BTC reserves. Data from CoinShares shows that listed mining companies have cumulatively announced AI and HPC cooperation projects with a total value exceeding $70 billion, indicating the industry's overall shift towards computing power services. (CoinDesk)
No AI analysis yet. Tap the "AI Analysis" button above to generate one now.
Source:Odaily · Source Link
Disclaimer: This content reflects only the author’s personal views and does not constitute any investment or financial advice. If you discover any content that violates regulations,Click to Report
24H Trending
-
1
CRI (Crypto International) Project Analysis and Market Status
-
2
SK hynix in talks with Intel over potential US memory production agreement
-
3
Fetch.ai (FET) Token Analysis: Project Status and Investment Considerations
-
4
Bybit to adjust risk limits and leverage for selected perpetual contracts including 1000XECUSDT and BLASTUSDT, effective Sep 18, 2026
-
5
Anthropic, after calling for an AI slowdown, has signed its first data center lease in Australia, planning a total capacity of 2.16 GW.
-
6
XLM Price Analysis: Stellar Lumens' Positioning, Progress, and Market Outlook
-
7
MCG Coin Analysis: The Current Status and Prospects of MetalCore, Microcap Gem, and MicroChains Gov Token
-
8
COB Token: The Rise, Fall, and Current Status of Cobinhood Exchange's Token
-
9
Nikkei: Japan's MUFG Bank to Introduce Guidelines for Financing Defense Industry
-
10
Zhipu AI's CoWork business in China is progressing rapidly, with industry orders exceeding 1 billion yuan within one month of GLM-5.3's release.
Markets Today
Recommended Reading







