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Korean BC Card announced that it has completed the "Overseas Digital Asset Wallet - Connection of Korean Local Bank Card Payment Infrastructure" pilot test with Coinbase and Wavebridge.The test verified that foreign tourists can directly use USDC in their wallets to make payments at Korean BC QR merchants, achieving a full process linkage from stablecoin payment to Korean won settlement.

The cryptocurrency security warehouse leverage, unified account model, and unified account professional version will add GameStop bStocks (GMEB) as qualified collateral assets on August 12, 2026, at 20:00. Eligible users can use these bStocks tokens as margin collateral, expanding the collateral options for margin trading.

The number of registered users on the Zhipu MaaS open platform (i.e., API users) has approached 7 million, an increase of about 2 million compared to early July, including 23,000 enterprise customers. The user count for the developer product ZCode, which competes with Codex, surpassed one million within one month of its launch.Since the beginning of this year, Zhipu's ARR has grown 15 times. It is understood that after the release of new models by Kimi and Alibaba, Zhipu's ARR growth rate has not been affected. Some investors have revealed that the current ARR has reached $2 billion, but Zhipu's official stance has denied this, with people close to the company indicating that the actual figure should be higher. On July 21, it was reported that Zhipu has built a domestic AI computing power infrastructure with a scale of 1GW. It is understood that more than 50,000 domestic computing chips have been activated to alleviate the growing inference demand. On July 31, Zhipu's long-term Coding Plan, which had significantly increased in price, was opened for purchase.

According to the latest supply chain survey by TrendForce, despite the United States implementing export controls on high-end GPUs, China's AI industry has not slowed down; instead, it is accelerating the construction of a domestic AI supply chain. The report points out that the supply structure of high-end AI chips in China is shifting from reliance on imported GPUs to a dual-track model of "domestic GPUs plus self-developed ASICs," with domestic solutions expected to capture nearly 90% of the Chinese high-end AI chip market by 2026.This year, the Chinese government is actively promoting the adoption of domestic AI chips, with policies prioritizing support for high-potential local manufacturers to significantly expand their market share in the high-end AI server market. Meanwhile, the domestic ecosystem is gradually maturing in key areas such as advanced processes, advanced packaging, and thermal management. TrendForce expects that, against the backdrop of an accelerated domestic substitution process, domestic chip manufacturers like Huawei Ascend, Cambricon, and Haiguang are likely to continue benefiting, and the related industrial chain will usher in structural growth opportunities.

According to The Wall Street Journal, Apple is testing memory chips from the Chinese DRAM manufacturer Changxin Storage (CXMT), planning to apply them to product lines such as the iPhone and MacBook. The background of this move is the AI demand driving up global memory prices; Apple has previously lobbied the U.S. side, stating that the current pricing from Korean and American suppliers is "unsustainable." The report states that Apple is seeking approval from the White House to conduct business with Chinese chip suppliers. Currently, the U.S. allows the purchase of commercial off-the-shelf chips but restricts customized products.Changxin Storage has recently rapidly expanded its market share, with second-quarter revenue growing more than 8 times year-on-year, and its global DRAM market share rising to 7%, completing its IPO on the Science and Technology Innovation Board last month. Meanwhile, PC manufacturers such as HP and Acer have begun using Changxin Storage memory chips in some devices sold in non-U.S. markets to alleviate supply pressure. If Apple ultimately reaches a procurement agreement, it may face political resistance from Washington.

According to Counterpoint Research analysis, if the proposed import ban on Chinese optical modules by the Federal Communications Commission (FCC) in the United States is implemented, it will primarily impact American cloud providers rather than Chinese suppliers. InnoLight leads the global data center optical module revenue with approximately 27% market share, while Coherent ranks second with about 17%. Chinese manufacturers collectively account for about two-thirds of the global unit supply and approximately 60% of the optical communication module revenue.The analysis points out that Western suppliers like Coherent and Lumentum lack sufficient cleanroom capacity, automated packaging infrastructure, and yield scale in the short term, making it impossible to fill the capacity gap left by Chinese manufacturers within 12-24 months. This could lead to delays in AI cluster deployments by several quarters and increase material costs for cloud providers. At the same time, Chinese module manufacturers rely on high-end 800G/1.6T module revenue from North American hyperscale customers for over 90%, but have achieved partial capacity relocation by establishing factories in Thailand.Counterpoint emphasizes that the optical module supply chain is a highly interdependent system. Chinese manufacturers heavily procure DSP chips from Broadcom and Marvell, as well as lasers and optical chips from Lumentum, Coherent, and Mitsubishi Electric. A forced separation would disrupt the entire ecosystem.

According to data from the multi-model aggregation platform OpenRouter, from July 27 to August 2, DeepSeek V4 Flash topped the global AI large model usage ranking with a call volume of 7.22 trillion tokens. Data from the open-source platform OpenCode shows that this model alone processed 8 trillion tokens on August 1. Four out of the top five positions are occupied by Chinese large models: Xiaomi's MiMo-V2.5 (5.1 trillion), Tencent's Hunyuan Hy3 (5.01 trillion), and another DeepSeek V4 Flash model (3.45 trillion) ranked second to fourth, while OpenAI GPT-5.6 Luna (2.99 trillion, a month-on-month increase of 738%) ranked fifth.The total call volume of Chinese large models last week reached 28.13 trillion tokens, surpassing the United States for 14 consecutive weeks, firmly holding the top position globally. The previously highly anticipated Kimi K3 fell out of the top ten this week, ranking 12th. It is noteworthy that free models are capturing an increasing share of traffic, with some models experiencing month-on-month growth exceeding 50%. Analysis indicates that domestic models have shifted from price competition to relying on inference performance and stable service capabilities, but companies like OpenAI and Anthropic continue to iterate, accelerating the internal competition and the pace of product iteration will determine user retention capabilities.

According to Gate market data, GameStop (GME.N) pre-market decline has expanded to 12%.

According to Jinshi reports, several important events occurred domestically and internationally yesterday. The China Securities Regulatory Commission approved the registration of coking coal options, and the Beidou satellite navigation system completed its in-orbit upgrade. The State Administration for Market Regulation launched price compliance guidance for the photovoltaic industry, and the three major telecom operators will stop issuing cards through third-party internet channels.On the international front, the Bank of Japan maintained its interest rates, and the South Korean KOSPI index recorded its largest single-day increase in history. Hawkish pressure within the Federal Reserve is rising, with several officials supporting interest rate hikes.

According to The Block, South Korean media and financial regulatory agencies have begun reviewing measures aimed at effectively preventing unregistered overseas cryptocurrency exchanges from providing services to domestic traders.

Jiang Yi, Director of the Policy Research Office of the National Development and Reform Commission, stated at a press conference on July 31 that in the first half of the year, China's pace of independent innovation in artificial intelligence has accelerated. Domestic companies such as Deep Exploration and Dark Side of the Moon have successively released open-source large models with parameter scales reaching "trillion" levels, and the global download volume of domestic large models has surpassed 10 billion times. The next step will focus on strengthening research and development in cutting-edge areas such as the basic theory of large models, training and inference efficiency, multimodality, and intelligent agents, and accelerating the layout and construction of national artificial intelligence application pilot bases, while vigorously cultivating intelligent derivative enterprises.Jiang Yi pointed out that there will be a coordinated approach to high-quality development and high-level security, accelerating the legislative process of the "Artificial Intelligence Law", constructing a "development---regulation---security" closed-loop system, establishing and improving technical monitoring, risk warning, and emergency response mechanisms, and adhering to the development concept of "human-led, for human use, and benevolent to humanity," actively responding to the impact of artificial intelligence on economic operation and employment distribution.

According to a report by the South China Morning Post citing informed sources, ByteDance's AI business has achieved an annual revenue of $4 billion, the highest known level in the domestic market, but still far behind leading AI companies in the United States. Previously, ByteDance announced through an internal email the integration of the Feishu and Doubao product teams and GTM system, with Doubao head Zhao Qi leading the product line and Volcano Engine head Tan Dai responsible for the new ToB GTM organization "Creativity Service Platform," aimed at building "stronger AI product competitiveness and customer service capabilities."This integration is the largest adjustment to the ToB business since ByteDance's business segmentation in 2021. The Doubao enterprise version, developed with the participation of the Feishu team, has already entered internal testing with some clients. The report pointed out that ByteDance's AI revenue mainly comes from enterprise API calls of the Doubao large model, AI cloud services, and enterprise-level AI solutions.

According to Cointelegraph, the UK's Financial Conduct Authority (FCA) has released a policy research report titled "Stablecoin Sprint," gathering opinions from industry participants such as banks, payment companies, and stablecoin issuers.The report points out that stablecoins have recently shown significant advantages in the field of cross-border payments, especially providing substantial assistance to emerging markets with limited access to US dollar channels; however, in the domestic retail payment scenario in the UK, the existing payment systems are already relatively fast and inexpensive, leading to a lack of motivation for consumers to switch, and the adoption speed is expected to lag behind. The findings of the above research have been incorporated into the final regulatory rules released by the FCA on June 30, which require that stablecoins issued in the UK must be fully backed by reserve assets and redeemable at face value.

According to a report by The Information citing informed sources, a Shanghai state-owned company whose name has not been disclosed has begun producing domestically-made immersion DUV lithography machines, planning to manufacture about 5 units this year and increase to about 20 units by 2027. The first batch of equipment will be delivered to major foundries such as SMIC, Hua Hong Semiconductor, and ChangXin Technology, but the equipment still needs to undergo verification for accuracy, stability, and production line compatibility, a process that may take several months or even longer.Currently, most components of the equipment come from domestic sources, but some key parts still rely on Japan, and the performance and manufacturing quality lag behind ASML. In comparison, ASML is set to deliver about 131 immersion DUV lithography machines as early as 2025. Although domestic equipment has made the leap from prototype testing to small-scale production, there is still a significant gap before it can replace ASML on a large scale. Previously, Reuters reported that the U.S. is considering tightening restrictions on the export of lithography equipment to China and on maintenance services in China, and the delivery of domestic equipment coincides with this backdrop.

According to Caixin, Zhao Yao, a special researcher at the Payment and Clearing Research Center of the Financial Research Institute of the Chinese Academy of Social Sciences, stated that recent offshore digital asset platforms have launched on-chain trading products around Chinese technology companies such as Changxin Technology. This indicates that global digital financial platforms are creating trading exposure around high-quality Chinese technology assets, organizing price expectations, trading liquidity, and cross-border capital entry in advance. Although these products do not correspond to A-share equity, they are synthetic perpetual contracts or pre-market perpetual contracts settled in stablecoins such as USDC and USDT. However, if offshore platforms take the lead in forming a continuous trading market for technology assets, it may weaken the pricing dominance of domestic capital markets over technology assets.Zhao Yao suggested accelerating the construction of digital financial infrastructure for the renminbi, promoting the coordinated development of tokenized deposits by commercial banks, wholesale CBDC, and tokenization of technology assets, and exploring pilot projects for technology asset tokenization in Hong Kong to enhance the capital organization capability and international pricing power of the renminbi in global technology financial competition.

The domestic DRAM storage chip leader Changxin Technology (688825) has officially opened for new stock subscription. Due to the large issuance scale, this new stock offering has rarely seen a "sunshine market" trend. Institutions predict that the online winning rate will soar to 0.3% to 0.7% (with a neutral expectation of about 0.45%), reaching 10 to 20 times that of ordinary Sci-Tech Innovation Board new stocks. Calculations show that the probability of winning for a single account with an average market value of 200,000 in the Shanghai market is as high as about 18%, and theoretically, an average market value of 1 million can reliably secure 1 winning ticket.The issuance price of the stock is 8.66 yuan per share, and to secure one winning ticket (500 shares), a payment of 4,330 yuan is required. The official winning rate and results will be disclosed on July 17 and July 20 (Monday) respectively, and winners must ensure sufficient funds in their accounts by 16:00 on the 20th. Various institutions have given a neutral expectation, as Changxin Technology's market value is expected to reach 2 trillion to 3 trillion yuan after listing, with the profit margin for a single winning ticket expected to be around 20,000 yuan.If Changxin Technology fully exercises the green shoe mechanism, the total fundraising amount will reach 66.607 billion yuan, setting a new record for the largest IPO on the Sci-Tech Innovation Board, and it will also become the third largest IPO in A-share history. Financial data shows that the company has fully turned a profit, with expected operating revenue in the first half of 2026 reaching 110 billion to 120 billion yuan, and net profit attributable to the parent company reaching 50 billion to 57 billion yuan. The total amount of this strategic placement exceeds 14.4 billion yuan, successfully attracting social security funds, pension funds, as well as 30 major industry terminal giants such as Alibaba Cloud, Tencent, Meituan, and Xiaomi.

According to Jinshi reports, Micron Technology (MU.O) stated that it plans to invest $3 billion to strengthen the domestic semiconductor supply chain in the United States.

According to CNBC, Apple announced on Wednesday that it will reach a multi-year partnership agreement with chip manufacturer Broadcom, expected to total over $30 billion. This is Apple's largest commitment to domestic manufacturing in the United States to date. Under the agreement, Broadcom will develop and supply customized ASIC chips (increasingly used for AI workloads) for multiple generations of Apple products and wireless components for cellular networks, Wi-Fi, and Bluetooth connectivity until 2031.The report noted that this collaboration is expected to facilitate the production of over 15 billion chips manufactured in the United States and includes a $1.5 billion investment to expand Broadcom's factory in Fort Collins, Colorado. Outgoing Apple CEO Tim Cook stated that this move is the largest single project in Apple's $600 billion investment plan announced in 2025, aimed at responding to the Trump administration's call to promote domestic manufacturing and help establish an end-to-end silicon supply chain in the United States.

According to the Industrial and Commercial Times, due to the soaring prices of key components such as memory and SSDs, the cost pressure for configuring high-capacity storage in mainstream laptops has greatly increased. Cost-effective mainland Chinese memory and storage components are gradually penetrating the PC supply chain, with brands such as Lenovo, ASUS, MSI, Gigabyte, Acer, and even the American brand Apple accelerating the certification, introduction, or platform tuning of related products.The report pointed out that Lenovo has expanded its use of mainland components this year, and recently flagship laptop models equipped with Yangtze Memory Technologies (YMTC) SSDs have appeared on North American cross-border e-commerce platforms. The American brand Apple is also reported to be negotiating with the U.S. government to procure Changxin Memory Technologies (CXMT) memory to cope with the rising prices. In terms of Taiwanese board manufacturers, MSI recently announced that it is the first to complete the verification and tuning of Changxin Memory DDR5 chips on the AMD platform at DDR5-8000+, while Gigabyte has also adopted Changxin Memory chips in some motherboard models. ASUS and Acer have introduced memory modules from mainland manufacturers such as BIWIN through their own brand memory certification or OEM models.Industry analysts believe that although the short-term imbalance in supply and demand for storage has prompted non-mainland brands to accelerate related certifications, due to the limited production capacity of mainland manufacturers, brand Taiwanese manufacturers still emphasize that Korean original manufacturers with long-term contracts remain the main supply partners at present.

According to the Goldman Sachs report on "China's AI Computing Power" disclosed by P Equity Research, China is accelerating the construction of a national computing power network, with related infrastructure projects expected to attract 7 trillion yuan in investment by 2026. In the next five years, investment in data centers is projected to reach about 2 trillion yuan. Currently, funds and technology are being massively transferred to western computing power hubs, while data centers in first-tier cities are transforming to focus on ultra-low latency computing, edge nodes, and AI inference. Although GW-level clusters with over 100,000 chips remain scarce domestically, in typical GW-level computing power parks, workloads are primarily composed of inference, which accounts for more than half, as well as training and full-stack R&D.The report predicts that by 2026, the market share of domestically produced AI acceleration chips is expected to exceed 50%. Among them, Huawei and Alibaba's Pingtouge lead the domestic camp with shares of 20% and 7%, respectively, but Nvidia currently maintains overall market dominance with a 55% share. In terms of cost and performance, domestic chips have capital expenditures on IT power consumption that are 40% to 50% lower than imported chips, but due to performance gaps, their capital expenditures per unit of computing power are 2 to 4 times that of imported chips, and the computing power generated per unit of power consumption is only 10% to 30% of that of imported chips. Additionally, the daily average token output of Huawei's 910B/910C servers is about one-sixth to one-third of that of Nvidia's H800, resulting in significantly lower API profit margins based on that hardware compared to peers using Nvidia hardware.