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The “Dean of Valuation” says that Nvidia shares can fall by 31%. Here is my contrary view of why Deepseek could feed it to new highlights instead.


Aswath Damodaran is an accrued professor at the Stern School of Business of New York University. In particular, Damodaran specializes in appreciation – various books on the subject and models and predictions are often published to the public. Over the years, Damodaran has become known as the “dean of the appreciation” among financial journalists and media personality.

Last week Damodaran published a new prediction Nvidia (Nasdaq: NVDA) – asked for a decrease in the share price of 37% compared to the current levels (from 5 February).

Below I will describe the logic of Damodaran to help explain why he calls such a drop. From there I will give my opinion why I am not fully in line with his bearish prediction.

In the meantime you are probably familiar with the latest talk point of AI, called a Chinese start-up Deep. Deepseek is the newest company that pops up in the AI ​​rich and claims that the game-changing applications has developed for a fraction of the costs used to build regular models from OpenAI or Anthropic.

In the analysis of Damodaran, he states that Deepseek “has changed the AI ​​story” that “will create a split AI market, with a segment of low-quality AI products that has been constructed and very competitive and a segment of premium products”.

On the surface I understand what Damodaran starts. If (keyword “if”) Deepseek has built a platform on the same foot or superior to existing AI models and would do this with less expensive infrastructure, the position of Nvidia would seem to be in danger if the King of the Chip -Rijk.

For me, the above statement is even more a theory than anything. It seems that every hour publishing more stories about Deepseek-where many now claim that the start-up was financed with much more than the initial $ 6 million that it claimed. If that is the case, Nvidia must be less concerned.

But in a world where Deepseek was built for much less than financing compared to what was plowed in OpenAI and his cohorts, I still don’t see such an idea as a bad thing for Nvidia. The reason actually comes together with Damodaran’s point of chipware that is being produced.

At the moment it is known that many of the largest customers of Nvidia are Cloud -Hyperscalers such as MicrosoftAlphabetAnd Amazon. In addition, large tech giants such as such as Meta platforms And Tesla are also some of the largest adopters of Nvidia. What is Also It is known that many of these companies invest heavily in internal chipware and work with cheaper providers, such as Advanced micro devices.



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