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Nasdaq just hit the correction territory. Here are 5 shares you will regret not buying at the moment.


WITH Nasdaq composite In the territory of corrections, investors should consider the investment of some cash on the stock market. Corrections are defined as a drop of 10% with more and more maximum, but they occur quite often (just more than every year since 1980). Sometimes these corrections turn into a teddy bear, but the second time they turn back and go more, and I believe the latter are more likely.

As a result, I look at the shares that I can now buy to use sales, and I have come up with five fantastic options that will regret that you will not record now for dirty prices.

Some investors think that the movement of artificial intelligence (AI) causes this correction, similar to the DOT-com bubble in 2000 (basically 25 years ago), but I think it is a bad assumption.

While AI and the Internet have a similar effect in the way our lives change, the companies are much different from the internet companies that have collapsed. For one thing, they make huge profits and have a reasonable business model.

In the AI ​​hardware, AI enters billions of investment dollars because many companies see where the world is going. As a result, companies love Nvidia (NASDAQ: NVDA) and Broadco (Nasdaq: Avgo) are huge users.

Since 2023, Nvidia’s revenue has increased on the back of the AI ​​demand.

NVDA income (ttm) data Ycharts

This year, it is expected that his revenue will reach $ 204 billion, which clearly indicates that AI investments are not decaying. Nvidia Graphics processing units (GPU) Are the backbone of AI, while training AI models and then processing conclusions when arranged. Since many large technological companies announce record capital expenditures in 2025, Nvidia will be the primary user of this consumption.

The second user is a Broadcom, which makes switches for connection for data centers and adapted AI accelerators (Broadca names XPU). Broadcom’s management sees a huge and growing demand for XPU, as they can often surpass the GPU when the work load is properly placed.

Broadcom currently has three companies that use their custom XPUs. The company believes that this hardware will have a market opportunity between $ 60 billion and $ 90 billion in revenue by 2027. However, Broadcom also has four other customers who have just started their XPU, and they are not involved in this figure. Since Broadcom’s 12 -month revenue sitting at $ 55 billion, he has a massive rarity runway.

I am convinced that these two will continue to work quite well over the next few years, because major technological companies cannot afford to slow down consumption on AI. Otherwise, they risk behind the competitors who are willing to continue their consumption of AI. As a result, I use this DIP to load shares of these two.



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