Semiconductor stocks, including Nvidia, are currently in a bubble reminiscent of the dotcom era, driven by cyclical demand and circular deals that inflate AI industry profits. Hyperscalers fund AI startups, which then commit to large cloud purchases, masking underlying financial weaknesses. U.S. hyperscalers are experiencing deteriorating balance sheets due to aggressive capital expenditures, debt issuance, and dilution. As a result, the analyst is reducing exposure to these stocks and reallocating capital to more stable, non-AI companies like McDonald's, S&P Global, Netflix, Hermès, Ferrari, Booking, and Accenture, prioritizing predictable cash flows over speculative AI growth.
Micron reported a record gross margin of 84.9% in its latest quarterly earnings, more than doubling from 39% a year ago and surpassing major tech companies like Nvidia and Meta. This surge is driven by strong demand for memory chips, especially from ...
Bitcoin's price has dropped from over $100,000 in 2025 to around $60,000 in 2026, signaling volatility and headwinds from new Fed policies. Despite this, Bitcoin-focused ETFs such as the State Street Galaxy Digital Asset Ecosystem ETF (DECO) have per...
Leveraged single-stock ETFs tied to stocks with limited tradable shares, like SpaceX, are causing amplified price swings, especially near market close, impacting broader tech stocks such as NVIDIA and Micron. This structural market effect is due to f...
South Korea's Kospi index fell nearly 10% due to foreign investors selling semiconductor stocks, causing circuit breakers to trigger. Analysts suggest the AI investment hype is shifting from major tech spenders like Microsoft, whose stock is down des...
OpenAI and Broadcom have unveiled their first custom-designed chip, Jalapeño, aimed at efficiently running AI technologies like ChatGPT. This milestone supports OpenAI's plan to deploy these chips in data centers worldwide, potentially consuming 10 g...
