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Serenity summarizes that AI executives have stated that demand has not been disrupted, but the construction speed has led to delays in demand

This week, the AI sector faced a sell-off. Retail investors at Serenity compiled statements from executives of several tech giants and infrastructure suppliers, pointing out a significant disconnect between market sentiment and actual fundamentals. The CEO of Lumentum stated that there is a huge misalignment between demand orders and market performance; the CEO of AMD emphasized that the industry is in the very early stages of an adoption cycle, with demand far exceeding supply.The CEO of Arm warned that if the U.S. hesitates on data center construction, other countries are ready to take over at any time, and China has not slowed down. The CEO of Qualcomm pointed out that the current bottleneck is not demand, but rather limited supply, with shortages in wafers, substrates, assembly, and more. These statements indicate an extremely optimistic outlook for accelerator, networking, and semiconductor companies.Regarding political risks and construction obstacles, Serenity noted that politicians who previously threatened to restrict data centers showed a cooperative attitude after winning the election. Executives at Meta revealed that local politicians are actively seeking dialogue to preserve investment and jobs, but building new data centers is becoming more challenging. Data center developers reported strong pricing and demand, while also paying attention to financing costs and execution risks. Serenity concluded that there is a distinction between demand disappearing and demand delays caused by insufficient construction speed, and currently, there is no evidence that AI demand has been significantly damaged.

Microsoft reduced spending by approximately $5 billion due to delays in data centers, while AMD raised its revenue forecast

According to a report by The Information, Microsoft has reduced its capital expenditures for the third quarter by about $5 billion due to delays in the third-party data center it plans to lease. Sources say that the data center project by Iren located in Childress, Texas, has encountered delays, leading Microsoft to postpone some expenditures. Microsoft had previously announced plans to invest $9.7 billion over five years to lease servers equipped with NVIDIA GPUs from Iren.Power supply and grid access have also become bottlenecks for computing power delivery. Last month, Microsoft withdrew from a plan to lease a data center project in the UK from Nscale due to delays in grid access. As self-built data centers struggle to meet demand in a timely manner, Microsoft is simultaneously leasing computing power from multiple cloud service providers.Meanwhile, AI server supplier Supermicro continues to raise its performance expectations. The company's revenue for the first fiscal quarter reached $19.95 billion, exceeding analysts' expectations of $16.39 billion, and it expects revenue for the second fiscal quarter to be between $19.5 billion and $21.5 billion. The revenue forecast for fiscal year 2027 has also been raised from $65 billion to $72 billion to $72 billion to $82 billion. Bernstein pointed out that assessing AI computing power demand cannot simply rely on contract amounts or megawatt scale; it also needs to consider contract cancelability, duration, and actual deployment time; some projects may be delivered in phases, and chip procurement agreements may correspond to the same batch of computing power as data center leasing contracts.

Bloomberg: The Binance hacking incident has prompted reflection in the cryptocurrency industry, which may reintroduce trading delays and other Wall Street risk control mechanisms

According to Bloomberg, the Binance hacking incident is prompting the cryptocurrency industry to re-examine its long-held decentralized philosophy, as well as the transaction review, settlement delays, and fund intervention mechanisms in the traditional financial system.As the cryptocurrency industry seeks to enter the mainstream financial market in the United States, some institutional investors are beginning to reconsider Wall Street's financial risk control mechanisms. In traditional finance, banks, payment networks, and clearing institutions can review suspicious transactions during the fund transfer process and can suspend fund flows under certain circumstances.Third Eye CEO Tian Zeng stated that he hopes the settlement time can be shortened from the traditional financial T+1 day to T+1 hour, by appropriately extending the settlement time and increasing review steps, thereby reducing hackers' ability to quickly transfer funds.FalconX Co-Head of Markets Joshua Lim pointed out that as more institutions enter the cryptocurrency market, the client structure is changing, and some institutions are no longer willing to fully accept the risks associated with irreversible transactions. As the cryptocurrency industry further integrates with traditional finance, how to balance transaction efficiency, decentralization, and fund security will become a problem that the industry must face.

All-In discusses the Democratic Party's victory, estimating a 10 to 15 GW power supply delay

On the night of the U.S. midterm elections, the Silicon Valley podcast All-In held a live broadcast where several tech investors discussed the potential impact of the Democratic Party's victory on the AI industry. Host Chamath Palihapitiya stated that AI investment has become an important pillar of U.S. economic growth, and the construction of data centers heavily relies on power supply. If the Democrats restrict the construction of new data centers in places like Texas, the entire AI industry could be affected. Host Jason Calacanis suggested that the tech industry, which had previously actively supported Trump, should now proactively engage with the Democrats to collaborate on AI regulatory policies. He also believed that the tech community's repeated warnings about AI potentially leading to human extinction and massive unemployment have exacerbated public fear of AI.All-In regular guest and founder of Altimeter Capital, Brad Gerstner, believes that many Democratic winners simply hope to have more say in AI regulation and do not intend to completely halt AI. He estimates that the power capacity for new data centers in the U.S., originally planned for 2027, may see 10 to 15GW unable to be operational on time. He remains optimistic about the growth of AI model companies and stated that as an existing investor in Anthropic, even if data center construction is hindered, Altimeter still hopes to be one of the largest buyers at the time of Anthropic's IPO.

first_img Microsoft exits the UK's largest AI data center, power supply may be delayed until the 2030s

According to a report by the Financial Associated Press, Microsoft has withdrawn from a large artificial intelligence data center project developed by the UK data center company Nscale in Essex, with reports indicating that the withdrawal is related to concerns over power supply. Officials from the UK National Grid had informed Nscale that the power supply for the data center is not expected to be in place until the 2030s. Nscale is exploring whether it can generate power on-site and whether it can expedite the grid connection process.The project was previously referred to by the UK government as the largest data center in the UK, originally scheduled to open next year. As of the report, the site still appears to be just a scaffolding yard. Microsoft had originally planned to fund the construction of a supercomputer, but the collaboration has now been terminated. Following the termination of the related computing power transaction, Nscale lost its only publicly announced client for the data center in Essex. Nscale stated that its relationship with Microsoft remains strong and long-lasting, and the two parties will continue to collaborate on other overseas projects, with Microsoft still participating in another project in Norway.The Starmer government highlighted this project when announcing the UK's 2025 artificial intelligence strategy, calling it the largest autonomous artificial intelligence data center in the UK. Nscale has received support from several tech companies, including Nvidia, and plans to go public in the US this year, with a valuation potentially reaching $35 billion.
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