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The Dean of Evaluation said NVIDIA shares could drop 31%. I have an opposition to why Deepseek can supply fuel to the new top.

MONews
7 Min Read

Aswath Damodaran is an outstanding professor at the Stern School of Business at New York University. In particular, Damodaran specializes in evaluation, written several books on this topic and often posts his models and predictions to the public. Over the years, Damodaran is known as “Dean of Evaluation” among financial journalists and media characters.

Last week, Damodaran announced a new prediction nvidia (NASDAQ: NVDA) -The stock price falls 37% at the current level (as of February 5).

Below I will explain in detail the logic of Damodaran to explain why he demands such drops. There, I will talk about why I do not completely match his weaknesses.

So far, you will probably be familiar with the latest story of AI, or Chinese new companies. Deepseek. DeepSeek is the latest company that appeared in the AI ​​area, claiming that it has developed a game change application for some of the costs used to build a liquor model in Openai or Anthropic.

In Damodaran’s analysis, he said, “We have changed the AI ​​story and said,” Segence of low -end AI products, “Segents of premium products,” and “branched AI market”.

On the surface, I understand what Damodaran is doing. DeepSeek has built a similar or excellent platform to the existing AI model, and if the location of NVIDIA as a chip area is in danger, DeepSeek is less expensive.

For me, the above competition is still closer to theory. Every hour more stories seem to publish about Deepseek. The first fund was funded with more than $ 6 million.. In this case, NVIDIA cannot worry.

But in the world where DeepSeek was built for much less funds than the optimal of Openai and its cohort, I still don’t see that concept for NVIDIA. The reason is that the chip wear point of Damodaran is actually commercialized.

Many of the largest customers in NVIDIA are well known as Cloud HyperScaler. Microsoft,,, alphabetand Amazon. Also, large companies like large technology giants Meta platform and Tesla It is also part of NVIDIA’s largest adoption. What is it also Many of these companies are investing a lot in internal chipware: Luxury.

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