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first_img Bitcoin's 23% rebound drives a surge in mining company stock prices, outperforming AI stocks

According to Cointelegraph, Bitcoin's rebound in August has driven a surge in the stock prices of some previously underperforming mining companies, reversing the market preference that had shifted towards artificial intelligence and high-performance computing (HPC) mining firms. The latest report from BlocksBridge Consulting shows that Bitcoin's approximately 23% increase over the past week has outperformed most AI-related infrastructure stocks.The stock prices of three mining companies, Canaan, American Bitcoin, and Cango, rose between 41% and 67%, while CoreWeave increased by about 21%, Nebius by 17%, and IREN by 15%. Some mining companies with higher exposure to AI and HPC remained flat or declined. BlocksBridge pointed out that the three main catalysts for Bitcoin's rise include: the U.S. Treasury's announcement on August 19 to at least double the liquidity support for long-term Treasury repurchase agreements; a rise in regulatory optimism following a meeting between the White House and crypto executives, with Trump urging Congress to pass the CLARITY Act; and a short squeeze triggered after Bitcoin's breakout, leading to over $1.6 billion in crypto positions being liquidated within 24 hours.Additionally, BlocksBridge's previous analysis found that publicly listed Bitcoin mining companies' investments in AI data centers are about 15 times their AI-related revenue. From 2026 to date, the AI and HPC revenue of nine listed mining companies has reached $341.2 million, while related capital expenditures have amounted to $5.11 billion.

first_img SMIC's revenue in the first half of 2026 was 38.635 billion yuan, with a year-on-year increase of 94.2% in net profit attributable to the parent company

SMIC (Hong Kong Stock 00981, A Share 688981) released its semi-annual report for 2026. The reporting period is from January 1, 2026, to June 30, 2026, and is unaudited. The company achieved operating revenue of 38.635 billion RMB, a year-on-year increase of 19.4%; total profit of 7.133 billion RMB, a year-on-year increase of 96.7%; net profit attributable to shareholders of the listed company of 4.467 billion RMB, a year-on-year increase of 94.2%; net profit attributable to the parent company after deducting non-recurring gains and losses of 2.994 billion RMB, a year-on-year increase of 57.2%.During the same period, the net cash flow generated from operating activities was 20.760 billion RMB, a year-on-year increase of 252.0%; earnings before interest, taxes, depreciation, and amortization (EBITDA) was 24.511 billion RMB, a year-on-year increase of 40.7%. The gross profit margin was 23.2%, an increase of 1.3 percentage points compared to the same period last year; the net profit margin was 16.7%, an increase of 6.3 percentage points; basic and diluted earnings per share were both 0.56 RMB, a year-on-year increase of 93.1%. The board of directors approved the submission of this report on August 27, 2026, and the company has no profit distribution or capital reserve transfer plan.

Zhao Changpeng: It is difficult to predict the outbreak point of the next cycle, and we do not rule out large AI companies issuing tokens

Zhao Changpeng stated at the "Bitcoin Asia 2026" conference in Hong Kong that both the RWA and AI sectors are currently very strong. Stablecoins, centralized exchanges, decentralized exchanges, and Meme tokens, which have been growing, will continue to grow, and NFTs may return in some form. It is difficult to predict what the next breakout point will be, just as it was impossible to predict the coin issuance craze at the beginning of 2017 and the NFT craze six months before it exploded; these all require entrepreneurs to create.He also mentioned that the funds used by billions of AI agents for automated buying, selling, negotiating, and trading in the future will definitely be cryptocurrencies, likely starting with stablecoins, and then gradually integrating other public chain assets like Bitcoin. He has discussed the possibility of issuing tokens with several top AI companies, as building data centers requires huge amounts of capital, with the cost of 1 GW of computing power being about $30 billion to $50 billion. Some AI companies plan to build hundreds of GW of computing power in the coming years, so they are considering issuing data center tokens that would allow holders to gain rights to use computing power in the future. Additionally, the payment scenarios for AI agents may be implemented later than trading scenarios; currently, AI companies are more focused on helping agents find optimal trading solutions, while trading scenarios require AI to process information quickly, which can increase trading efficiency by about ten times.
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