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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.

first_img Solana Treasury Company launches State of Solana data dashboard

DeFi Development Corp, a publicly traded company in the United States, announced the launch of State of Solana, a free public data dashboard that aggregates market, network, staking, and ecosystem metrics for Solana. The company is the first publicly traded firm in the U.S. to establish a treasury strategy around accumulating SOL, currently holding 2,294,576 SOL, valued at approximately $208 million, making it the second-largest holder of Solana treasury after Forward Industries.Pete Humiston, Chief Marketing Officer of DeFi Development Corp, stated that the company has spent considerable time explaining why they believe Solana is one of the most important networks in the crypto space, but this argument goes far beyond the price of SOL. State of Solana allows investors and ecosystem participants to view the underlying data themselves. The dashboard tracks SOL returns over five time windows, rainbow chart price history, real-time epoch progress and block times, transactions per second throughput, estimated staking yield and inflation rate, top yields in Solana DeFi, cross-chain activity comparisons, and validator staking distribution (including the Nakamoto coefficient).The company's stock, DFDV, is currently trading at approximately $4.50, with a market capitalization of about $140 million, down about 16% since the beginning of the year and down about 72% from $16 a year ago.

Strive to become the 7th largest publicly traded company holding Bitcoin, with approximately 1.7 billion dollars in Bitcoin

Bitcoin News posted on the X platform that Strive Asset Management purchased 1,110 bitcoins for approximately $81.5 million, increasing its bitcoin holdings to 21,356 bitcoins. Based on a bitcoin price of about $80,000, the holdings are valued at approximately $1.7 billion, making it the seventh largest company by bitcoin reserves among publicly traded companies.According to documents submitted to the U.S. Securities and Exchange Commission, Strive completed the purchase between August 17 and 21, with an average purchase price of $73,409 per bitcoin, including fees and related expenses. This purchase increased its bitcoin holdings by approximately 5.5% from the previous 20,246 bitcoins.Strive raised funds through the issuance of ASST common stock and SATA preferred stock to execute its bitcoin reserve strategy. During the same period, its Class A shares increased by approximately 3.65 million shares, reaching 79.89 million shares, and it issued 441,313 shares of SATA preferred stock. Due to the increase in the number of shares, Strive's total bitcoin holdings grew by approximately 5.5%, but the bitcoin holdings per fully diluted share only increased by about 1.4%.Strive CEO Matt Cole posted on the X platform that the company added 1,110 bitcoins at an average cost of $73,409 per bitcoin, bringing the total holdings to 21,356 bitcoins.Previously, in August, Strive purchased 147 bitcoins at an average price of over $64,800 per bitcoin, and subsequently purchased 79 bitcoins at an average price of $63,231 per bitcoin, totaling 226 bitcoins. In June, Strive purchased 2,500 bitcoins for $185.2 million, increasing its holdings to 19,000 bitcoins.As of August 21, Strive's cash and cash equivalents increased from approximately $154.8 million to $171.9 million. The price of SATA preferred stock is approximately $100, and the annualized dividend yield was raised to 13% in April.

SemiAnalysis Founder: By 2028, most of the new AI computing power will belong to two companies

In the latest podcast, SemiAnalysis founder Dylan Patel predicts that by 2028, OpenAI and Anthropic may account for 70% to 80% of the world's new AI computing power, with the total computing power scale potentially exceeding 100GW. Patel stated that the two companies currently account for about 30% of the world's annual new computing power, and this proportion is still rising rapidly.Patel pointed out that the business model of leading AI laboratories is changing, with a significant increase in the efficiency of AI computing power output. Currently, Anthropic's revenue per megawatt of computing power has reached about $50 million and may further rise to $100 million. This allows OpenAI and Anthropic to procure or lease computing power at high prices ranging from $25 million to $50 million per megawatt.Patel expects that global AI-related capital expenditures will reach about $11 trillion from 2024 to 2029, with over $5 trillion needing to be financed through debt. Due to the potential return on investment of AI infrastructure being far higher than that of traditional industries, tech giants may accept higher financing costs, thereby pushing up overall credit rates and squeezing the valuations of traditional assets and highly leveraged economies. Additionally, Patel believes that the new computing power may not primarily be used for providing model inference services externally, but may instead flow more towards internal research and development and self-improvement of models within AI laboratories.
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