NVDA holds a dominant market position with high margins and ecosystem lock-in, but faces competitive and valuation risks; long-term potential exists but requires attractive entry prices.

Today , I will talk about AMD, Broadcom, Amazon, Meta, and Nvidia.

Nvidia dominates this market, but companies like Microsoft, Meta and OpenAI don't necessarily want to rely on a single supplier for all their computing needs.

Nvidia has a well-established software system, huge customer relationships, and much larger revenues from artificial intelligence.

Let's move on to the next arrow, "Nvidia". Nvidia is the company that mediates the process of building artificial intelligence infrastructure, and Now, many people are understandably concerned about Nvidia's rating.

Its value is already equivalent to trillions of dollars, and the natural question is: how much can it realistically grow? But market value alone does not tell you whether a stock is overpriced.

You should compare the valuation with the company's revenue, profits, cash flows, and future growth projections. Nvidia was making huge sums of money from all three of these elements.

The gross profit margin it recently announced was approximately 75%. Its operating profit margin was approximately 66%. This means that Nvidia retains an exceptionally large portion of its revenue as operating profit.

There is another part of Nvidia's business that is very important. It's its ecosystem . Companies have spent years developing artificial intelligence applications using Nvidia's CUDA software platform and hardware.

Switching to an alternative architecture is not necessarily as simple as buying a different chip. You need to consider the software capabilities, performance, engineering resources, and existing infrastructure that supports those applications.

This creates significant conversion costs. This is one of the reasons why Nvidia has maintained such a strong position in artificial intelligence computing.

Then there is the next stage of artificial intelligence, which is artificial intelligence agents . Instead of asking a chatbot a question and receiving an answer, imagine an AI agent performing an entire task on your behalf.

He might be researching a product, comparing prices, analyzing financial information, writing software, or completing a business transaction. Those tasks may require much more computing power than a simple interaction with a chatbot.

If AI agents are widely adopted, this could create additional demand for Nvidia's infrastructure.

Now, I don't want to ignore the risks. Amazon, Google, Meta, and Microsoft are all investing in dedicated AI chips, and this could pose a significant problem. Also, AMD, which I already mentioned, has become a much more important competitor.

Nvidia’s exceptionally high profit margins may become more difficult to maintain as the market matures. There is also a risk that customers will end up building more computing capacity than they need.

Therefore, I will be monitoring the growth of data centers, gross profit margins, competition from dedicated segments, and the actual use of AI infrastructure. Nvidia has a well-established position in this industry, but even an exceptional company can be a bad investment if you pay too much for it.

My five stocks: AMD, Broadcom, Amazon, Meta, and Nvidia. All five companies are in a position to leverage artificial intelligence in different ways, and I believe they have great long-term potential.

I will continue to buy when attractive opportunities arise .