Syz the moment

Source: zerohedge

Its quarterly operating profit surged, powered by booming AI memory demand and higher DRAM prices. Analysts still expect memory shortages to persist through 2027. Yet the stock fell. Why? Because in today's market, good isn't good enough when perfection is already priced in. This marks an important shift. The first phase of the AI boom was driven by the obvious bottlenecks: semiconductors, memory, and AI infrastructure. Capital poured into the same names. Nvidia led. The semiconductor index soared. Now those trades are crowded. The fundamentals remain strong, but investors are asking a different question: Can earnings keep exceeding already sky-high expectations? AI isn't over. But the easy money from owning the obvious AI winners may be. Source: Bloomberg, James E. Thorne @DrJStrategy

Today Deep Seek and other AI open source Chinese AI has overtaken the US and now control about 52% of the market. Why? Because Chinese AI is much cheaper. Source: QE Infinity

Meta’s employees ran up a staggering internal AI bill in a single month. The number is reshaping how Big Tech thinks about the cost of intelligence.

The proposal, reportedly floated by Sam Altman, would see leading AI companies allocate a small ownership stake to the public through a vehicle similar to Alaska's Permanent Fund. The idea is simple: if AI is set to create trillions of dollars in value, the public should directly share in the upside. The move could also help ease growing political pressure as Washington scrutinizes AI over jobs, cybersecurity, data centers, and national security. OpenAI and Anthropic have already seen their latest AI models delayed by regulatory review. The proposal would ideally extend beyond OpenAI to companies such as Anthropic, Google, and Meta, although it remains unclear whether they would participate. The discussions are still at an early, conceptual stage and would likely require congressional approval. If implemented, it would mark one of the most significant shifts in the relationship between government and private technology companies, potentially creating a new model where the wealth generated by AI is shared not only with investors, but with the public itself. Source: FT

More than $730 billion in market value has been erased across Asian equity markets today as AI and semiconductor stocks came under heavy selling pressure. 🇰🇷 South Korea's KOSPI: -7.89% ($324B wiped out) 🇯🇵 Japan's Nikkei: -2.47% ($214B wiped out) 🇨🇳 China's Shanghai Composite: -2.1% ($191B wiped out) The selloff follows two major warnings over the weekend. The IMF cautioned that AI-related equity valuations have become increasingly speculative and detached from fundamentals. Meanwhile, Wealspring Asset, whose founder famously called the 2007 market peak, warned that a massive global AI bubble has formed, adding that its "collapse point may not be far away." After months of relentless optimism, markets are suddenly being forced to price in the possibility that AI expectations have run too far, too fast. Source: Bull Theory

Meta Platforms (NASDAQ:META) climbed more than 10% on Wednesday after a report said the social media company is developing a cloud computing business that would monetize surplus artificial intelligence computing capacity. Meta's plan to monetize excess AI compute may have exposed the first real crack in the AI CapEx narrative. If hyperscalers can generate revenue from spare capacity, or eventually reduce spending without sacrificing AI capabilities, the market's assumption of persistent compute scarcity comes into question. That would be a negative for the hardware and infrastructure layer, but potentially positive for hyperscalers that can monetize existing assets more efficiently (more here). Chart below shows KOSPI, SOX and META (inverted). Source: TME

Source: FT, RBC