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first_img Research institution Sage Road Research stated that the stock price of the AI company has dropped 20% from its peak in June

The research institution Sage Road Research released an executive summary of "The AI Trade," stating that since the beginning of this year, the Magnificent Seven has underperformed the Russell 3000 index by about 8 percentage points and the MSCI ACWI by nearly 9 percentage points. In July, the CBOE NDX volatility index relative to the VIX reached its highest point since the internet bubble, and after entering a correction, the Nasdaq index saw a 5% rebound over four days. As of the writing of the report, AI company stock prices have dropped 20% from their 52-week highs in June.Companies are struggling to achieve returns on investment amid soaring AI costs, with Uber, Amazon, Meta, and Walmart implementing restrictions on employee AI usage. Model homogenization limits pricing power, and Chinese open-source models have become a cheap alternative to OpenAI and Anthropic. AI capital expenditures have exceeded expectations, with the consensus for 2026 rising from $527 billion at the end of 2025 to about $800 billion by mid-year. Capital expenditures for hyperscale cloud providers in 2027 are expected to account for 3% of U.S. GDP, more than double the peak of 1.2% during the late 1990s telecom fiber construction. Allianz Research calculates that there is nearly a 46% growth gap between AI investment and sales, worse than the 32% during the 2001 telecom bubble.As of June, hyperscale cloud providers and related entities like Nvidia issued $225 billion in bonds, a year-on-year increase of 973.7%. The off-balance-sheet liabilities of tech giants have increased eightfold over four years to $1.65 trillion.

first_img Pantera Junior Partner Jay Yu: Computing power may become a commodity asset

Pantera Capital Junior Partner Jay Yu published an article titled "The Rise of Compute Markets," stating that computing power and data center spending have become a trillion-dollar category, but GPU procurement is still mainly done through group chats, over-the-counter brokers, and bilateral agreements. He noted that the financialization of computing power is still in its early stages, constrained by SKU, time, and location, but could become a commodity asset similar to electricity or oil in the next 5 to 10 years. Jay Yu believes that the computing power market may form a "hardware-supplier-cluster" structure similar to the electricity "grid-operator-node," with new cloud vendors being structural shorts on GPUs, while on-demand platforms and application layers are longs.He mentioned that for every $100 spent on inference at the application layer, about $45 flows to the on-demand layer, about $50 flows to the new cloud or GPU layer, and about $5 flows to routing layers like OpenRouter. NVIDIA can be seen as the "central bank" of computing power, having announced support for up to 25% residual value. He also stated that physical delivery has a more enduring moat, and indices, cash-settled exchanges, and financing tools will subsequently emerge, with participants including SF Compute, Vast AI, Runpod, Compute Exchange, and others. The computing power market does not have mandatory price transparency requirements, and basis risk may be greater.

Gate and RQD* Clearing launch strategic cooperation to expand the collaborative space between digital assets and financial infrastructure

According to the official announcement from Gate, Gate is exploring strategic cooperation with the clearing and custody company RQD* Clearing. Both parties plan to advance discussions on cooperation in areas such as digital assets, clearing and market infrastructure, regulatory compliance, and asset tokenization, leveraging their respective capabilities in digital asset services and financial market infrastructure to find new business synergy opportunities.Gate's founder and CEO Dr. Han stated that as digital assets increasingly integrate with traditional financial markets, Gate is focused on building the infrastructure that supports this process and looks forward to exploring cooperation opportunities with RQD* Clearing in the areas of clearing, infrastructure, compliance, and asset tokenization.RQD* Clearing provides the necessary clearing, custody, and technical infrastructure for broker-dealers, registered investment advisors, overseas financial institutions, and proprietary trading firms to access the market, and relies on its self-developed technology to offer clients real-time business data and flexible platform support.This exploration of cooperation is expected to further connect Gate's global digital asset ecosystem with RQD* Clearing's infrastructure capabilities in the market, opening up more space for the integration of digital assets and traditional financial systems at the asset, transaction, and technical levels.
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