The “Dean of Evaluation” says Nvidia’s shares could plummet by 31%. Instead, there’s my paradoxical idea of ​​why Deepseek can make it the new best fuel.


Aswath Damodaran is an accomplished professor at the Stern School of Business at New York University. In particular, Damodaran specializes in evaluation. He has written several books on this topic, and in many cases he has his models and predictions made public. Over the years, Damodalan became known among financial journalists and media personalities as the “Dean of Evaluation.”

Last week, Damodaran published a new forecast nvidia (NASDAQ: NVDA) – We are seeking a 37% drop in stock prices from our current level (as of February 5th).

Below we will explain in detail Damodalan’s logic and help explain why he is seeking such a decline. From there I give my views on why I don’t quite match his bearish predictions.

Now you’re probably familiar with the latest AI topics – that is, called a Chinese startup. deepseek. Deepseek is the latest company to emerge in the AI ​​realm, claiming to have developed game-changing applications at just a small fraction of the costs used to build Openai or human mainstream models.

Damodaran’s analysis states that Deepseek “changed the AI ​​story.” “The AI ​​story has been changed. “A branched AI market has been created, commoditized, competitive and has a segment of premium products.”

On the surface, I understand what Damodalan is doing. if (keyword “if”) deepseek has built a platform that is comparable or superior to existing AI models, and has done so with low cost infrastructure.

For me, the above conflicts are still more of a theory than anything else. Every hour, more stories seem to be published about Deepseek. The first $6 million or more funding claimed. In that case, Nvidia doesn’t have to worry.

However, in a world built because Deepseek was far less than funded compared to what was cultivated by Openai and its cohort, we do not consider such a concept to be a bad thing for Nvidia. The reason for this is actually along with the fact that Damodalan chipware is commoditized.

Today, many of Nvidia’s biggest customers are well known to include Cloud HyperScalers. Microsoft, alphabetand Amazon. What’s more, big tech giants like Meta Platform and Tesla They are also some of Nvidia’s biggest recruits. what Also Many of these companies have invested heavily in internal chipware and are known to work with such low-cost providers. Advanced Micro Devices.

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