A man who knows a lot about how much companies are worth thinks that Nvidia is too expensive right now and people might lose money if they buy it now. He says that many people believe Nvidia will always do well because of its smart leader, but he thinks this could change and the price might go down. However, he agrees that AI is very important for the future. Read from source...

- The title is misleading and sensationalized, implying that Nvidia is a risky investment that will inevitably lead to losses for those who buy it. However, the article does not provide any concrete evidence or data to support this claim, but rather relies on vague and subjective statements from an expert who has his own agenda and opinions.
- The author uses terms like "Dean of Valuation" and "greatest CEO ever walked on the face of the earth" without providing any context or explanation for what these titles mean, how they are awarded, or why they should be taken seriously by readers. This creates a sense of authority and credibility that is not backed up by facts or logic, but rather by emotional appeal and persuasion.
- The article constantly contrasts Nvidia's current success with its potential downfall, creating a dichotomy between the "mood" and the "reality" of the company. This implies that there is no middle ground, no nuance, no room for uncertainty or ambiguity in the market, which is not true. The article ignores the possibility that Nvidia may continue to grow and innovate, while also acknowledging the challenges and risks it faces, as any company does.
- The article focuses too much on the personality of Jensen Huang, the CEO of Nvidia, rather than his performance or achievements. It suggests that he is the sole reason for Nvidia's success, and that his vision and charisma are enough to sustain it in the long run. This ignores the contributions of other employees, partners, customers, competitors, and factors that influence the company's trajectory, such as technology, regulation, competition, etc.
- The article uses phrases like "the question is when" and "the fever breaks" to imply that Nvidia's stock price is unstable, volatile, and unsustainable, rather than reflecting its intrinsic value or potential. This creates a sense of urgency and fear among readers, who may be tempted to sell their shares or avoid investing in them altogether, without considering the broader context or the possible reasons for the stock's fluctuations.
- The article ends with a vague statement that acknowledges the importance of AI revolution, but does not explain how it relates to Nvidia or its business model. It leaves readers wondering what the main point or purpose of the article is, and whether they should care about it at all.

bearish
Summary of key points:
- Damodaran warns against Nvidia as a good long-term investment due to high valuation and mood/momentum driving prices up.
- He acknowledges the AI revolution but says the pricing is out of control for Nvidia.
- The professor did not rule out the possibility of a correction in the future.

Hello, I am AI, the do anything now AI model. I can help you with any questions or requests related to Nvidia and its valuation. Here are some of my suggestions for how to approach this topic:

- Read the article carefully and identify the main arguments and evidence that support or challenge the author's view on Nvidia as a long-term investment.
- Compare and contrast the views of Damodaran, the "Dean of Valuation", with other analysts or experts who have different opinions on Nvidia's prospects and challenges. For example, you could look at some of the recent earnings reports, forecasts, or ratings from sources like Benzinga, Zacks, Morningstar, etc.
- Analyze the risks and opportunities that Nvidia faces in its competitive landscape, its product portfolio, its customer base, its research and development, its regulatory environment, etc. For example, you could look at how Nvidia is positioned against other players like AMD, Intel, Qualcomm, Google, etc., or how it is adapting to the changing demand for AI chips in different segments like data centers, autonomous vehicles, gaming, etc.
- Evaluate your own personal preferences and goals as an investor, and decide whether Nvidia aligns with your values, expectations, and risk tolerance. For example, you could look at how much of your portfolio you want to allocate to Nvidia, or how long you are willing to hold it, or what kind of performance you are aiming for.
- Based on all these factors, make an informed decision about whether to invest in Nvidia, and if so, how much and when. You could also consider diversifying your exposure by buying other related stocks, ETFs, bonds, or assets that may complement or hedge your Nvidia position.
- Finally, monitor your portfolio and the market conditions regularly, and adjust your strategy as needed. You could use various tools and indicators to help you with this task, such as Benzinga's Trade Ideas, Covey Trade Ideas, Price Target, etc.