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“Dean of Valuing” says Nvidia’s supplies could fall by 31%. Here is my contradiction of taking why Deepseek could encourage him to peak.


Aswath Damodaran is a professor at the Stern School of Business School of New York. In particular, Damodaran specializes in evaluation – writing several books on the subject, and often publishing his models and prognosis of the public. Over the years, Damodaran has become known as the “Dean of Valuation” among financial journalists and media figures.

Last week Damodaran posted a new forecast Nvidia (NASDAQ: NVDA) – summoned to 37% of the drop in shares from current levels (from February 5).

Below, I will describe Damodaran’s logic in detail to help you explain why he calls for such a fall. From there, I will take over why I did not fully align with his bear forecast.

So far you are probably familiar with AI’s latest conversation-naime, Chinese start-up called Deepseek. Deepseek is the latest company that has appeared in the AI ​​Empire, claiming that an app to change the game for a fraction of the costs used to build the main models from the Openi or Anthrop is developed.

In Damodar’s analysis, he says that Deepsek “changed AI story” that “will create a bifurcated AI market, with a segment of low quality AI products that are comfortable and very competitive and segment of the premium product.”

On the surface I understand what Damodarna gets. If (the keyword “if”) Deepseek built a platform compared to or superior existing AI models and did so with less expensive infrastructure, Nvidia will endanger the Nvidia position as the king of the Empire of the Chip.

For me, the upper claim is still more theories than anything. It seems to be published more every hour about the story of Deepsek-OD that many now claim that the start-up was funded with much more than the initial $ 6 million he claimed. If this is the case, then Nvidia is less concerned.

But in a world where Deepseek was built for far less than financing compared to what plowing in the opening and his cohort, I still do not see such a term as a bad thing for Nvidia. The reason is actually aligned with Damodaran’s chips that becomes comfortable.

Currently, many of the biggest customers of Nvidia are known to include Cloud Hyperscalers like Microsoft,, Alphabetand Amazon. Moreover, large technological giants like Meta platform and Tesla They are also some of the greatest adoptive parents NVIDIA. Which is also Many of these companies are known to invest in internal chips and work with lower costs, like Advanced micro devices.



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