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CITIC Construction Investment: Although the logic of AI computing power remains optimistic, volatility has intensified; it is recommended to be cautious in chasing high prices

CITIC Construction Investment Research Report points out that the following factors will determine the trend of the third quarter market: In terms of fundamentals, AI computing power remains at a high level of prosperity, with mid-year performance and overseas financial reports worth paying attention to. At the same time, since April, under pressure from the macro economy, the economic measures from the Politburo meeting in July are quite important; In terms of liquidity, external disturbances have increased, while internal conditions remain neutral; In terms of risk appetite, geopolitical events and the listing of industry giants will cause short-term fluctuations in the market. Considering the global tech stock correlation effect, major overseas computing powers such as Japan, South Korea, and the United States also need to be continuously monitored.In terms of industry allocation, although the logic of AI computing power remains unchanged, volatility has intensified. It is recommended to be cautious about chasing highs and to position during pullbacks; lithium batteries are expected to welcome a peak season, and energy storage demand continues to warm up, while new energy presents opportunities for phased valuation recovery; dividends are expected to rebound from oversold conditions, with relatively high cost-performance ratios. Key areas to focus on: banks, coal, public utilities, AI, optical modules, storage, chips, industrial metals, lithium battery materials (VC), etc.

Fidelity refutes the argument that halving weakens Bitcoin's security: miners' average daily income has increased from $26,300 to $40,200,000

Fidelity Digital Assets recently released a research report that positively addresses concerns about the long-term impact of Bitcoin halving on network security. The report's author, Fidelity research analyst Daniel Gray, pointed out that Bitcoin network security relies not only on block rewards but also on transaction fees, market incentives, and other economic forces that continuously motivate miners to maintain network security, making the cost of sustained attacks prohibitively high.On the data front, Gray noted that despite the ongoing reduction in block subsidies, the rise in Bitcoin prices has significantly offset this impact. The average daily income of miners has increased from about $26,300 during the first halving cycle to over $40,200 today. He wrote, "Despite the decrease in issuance, miner incentives and the resulting network security have historically strengthened alongside the rise in Bitcoin prices."Since the fourth halving in April 2024, the block subsidy for miners has decreased from 6.25 to 3.125 Bitcoins per block. However, the optimistic conclusions of the report starkly contrast with the current realities faced by publicly traded mining companies. Several industry analysts describe the current environment as one of the most challenging for mining on record, due to the simultaneous decline in block rewards, rising operational costs, and increased competition.In response, several mining companies have begun to transition to the AI and high-performance computing sectors, leveraging existing power infrastructure to meet AI computing demands. VanEck estimates that publicly listed mining companies may need to raise up to $50 billion in additional funds to fully transition to AI infrastructure, but the requirements for AI data centers regarding facility standards, cooling, power redundancy, and networking are far higher than those of traditional Bitcoin mining operations, making the transition challenges significant.

Zhao Changpeng: The correction in the cryptocurrency market is influenced by the diversion of funds to AI, geopolitical situations, and cyclical factors

According to CoinDesk, Binance founder Zhao Changpeng stated that the significant decline in the crypto market in the first half of 2026 does not have a single cause. Geopolitical tensions, investors shifting funds to AI, and the typical four-year cycle of crypto may collectively lead to the continued decline of Bitcoin and other crypto assets. Bitcoin reached a historical high of over $126,000 last October and has since fallen by about 50%. At the beginning of this year, Bitcoin opened near $89,000, briefly rose to just above $96,000, and then dropped to around $60,000.In the long term, the crypto industry will continue to develop, and the demand for fintech will increase as the number of transactions continues to rise, so they are not concerned about the industry itself or short-term price fluctuations. They stated that emerging industries like AI are absorbing "hot money" from the crypto sector, but in the long run, this could be a positive factor. When discussing prediction markets, Zhao Changpeng mentioned that the rapid growth of prediction markets as tools for price discovery and liquidity is a good thing for the public.Regarding regulation, Zhao Changpeng stated that separate bills like the U.S. Clarity Act are important but more tactical matters that will not determine the long-term growth of the crypto industry. He hopes the Clarity Act can pass and believes that if U.S. legislation is delayed, other countries may take the lead in advancing rule-making.Zhao Changpeng also mentioned that if the U.S. Democratic Party regains control of at least one chamber of Congress after the midterm elections, there may be a review of Trump's support for the crypto industry and his pardons for crypto executives. Zhao Changpeng stated he "has nothing to hide" and is willing to cooperate if relevant parties seek information. When discussing political influence, Zhao Changpeng said he tries to stay away from U.S. politics but believes that any anti-crypto individuals may now lose a significant number of votes.

Gate.AI full-chain large model management platform upgrade, enhancing unified large model access and enterprise governance capabilities

The trading platform Gate's full-link large model management platform Gate.AI has recently completed an upgrade, launching a one-stop large model routing service for enterprises and developers. The platform is now connected to over 200 mainstream large models worldwide, supporting the two major protocols of OpenAI and Anthropic. Enterprises can access different model resources through a single API, achieving unified access and management, thereby reducing development, operation, and migration costs.Combining intelligent routing and comprehensive enterprise governance, Gate.AI achieves optimal matching of heterogeneous models and high business availability through intelligent routing and an automatic fallback mechanism. In terms of governance and security, the platform has built a multi-level unified management system that includes organizational structure, role permission control, members, and API keys, reinforcing privacy protection with zero data retention (ZDR) and data processing agreements (DPA). Additionally, through refined cost governance measures such as shared quota pools, it helps enterprises achieve efficient, standardized, and transparent operation of AI resources.As an important part of Gate's Intelligent Web3 strategy, Gate.AI is continuously improving the construction of an open AI platform, further promoting the large-scale application of AI in practical business scenarios by connecting global model resources and enterprise-level governance systems. In the future, Gate will continue to deepen its efforts in model access, intelligent routing, enterprise governance, and application innovation, creating a full-link open AI ecosystem to provide long-term support for the intelligent upgrade of global enterprises.
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