Stock Market Protractor TVOctober 9, 2026

[10/9 Thursday, Hangul Day] Why this plunge worries me!!

What to look for
In a single video, you can see the stock-by-stock figures from that day's semiconductor rout, the calculation behind the controversy over OpenAI's annualized revenue of 500 hundred million dollars, competition through price discounts ahead of IPOs, and the argument about Chinese AI companies catching up.
Why it matters
This helps you distinguish the strengths and weaknesses of the AI narrative by independently examining how revenue metrics at the very front end of the AI value chain connect to interpretations of data-center margins and semiconductor demand, along with conditions such as token unit prices and usage.

The speaker on Jeungsi Gakdogi TV characterizes the US trading session on 10/9 not as a decline in the indices but as a semiconductor rout. The speaker summarizes that the Dow rose 0.1% from the previous day, while the S&P500 fell 0.47%, the Nasdaq Composite fell 1.25%, and the Russell2000 fell 0.03%; the semiconductor index plunged 3.39%, and Broadcom, Oracle, Micron, Intel, AMD, ARM, Nvidia, SK Hynix, and others fell sharply. The speaker explains that rising bond yields originating in France, remarks about bombing Iran, a hurricane, and rising oil prices weighed on the market early in the session, but further increases in yields stopped after President Trump said he would halt attacks on Iran until the midterm elections. Nevertheless, the immediate trigger for the semiconductor plunge was the controversy over OpenAI's annualized revenue of 500 hundred million dollars reported by the Financial Times. The speaker explains that this figure does not indicate slowing growth, but is based on OpenAI's own direct sales, excluding sales routed through data centers such as AWS. Investors interpreted it as a drop from 700 hundred million dollars to 500 hundred million dollars, sending AI data-center-related stocks down across the board. The speaker analyzes how slowing spending by OpenAI and Anthropic, at the very front end of the AI value chain, spread into concerns about data-center margins. Going a step further, the speaker identifies competition for market share and customer lock-in ahead of IPOs, discounts on older models, low unit prices and rapidly expanding usage at Chinese AI companies such as Alibaba, and concerns about domestic substitution, drawing an analogy with Cisco-Huawei, as key risks to the AI narrative. While maintaining the view that companies owning data centers will generate substantial profits within 1 year and that semiconductor demand is clear, the speaker assesses that this decline exposed weaknesses in the AI narrative. The speaker also relays hawkish remarks, including those by Governor Waller, and calls for additional interest-rate increases. All directional outlooks are the speaker's conditional judgments, not definitive short-term price predictions.

Timeline

6 segments

Was this helpful?

Educational information only; not investment advice.