Where will Nvidia Stock be in 10 years?

• The Generative AI case of NVIDIA is still working well, but the growth is standing.

• New technologies such as self-driving machines and robotics can be the key to long-term success.

• I like better than 10 stock nvidia

Technology companies must be developed to always stay up to date. And Nvidia (NASDAQ: NVDA) This is not a stranger to the phenomenon. Founded in 1993, the legendary ChipMaker first named the video game schedule, as a result of the great break from the cryptocurrence mining in late 2022, the Cryptocurrence was taken.

Now the NVIDIA data center work (place where the EI sells ai chips) represents more than 9% of the core segment.

However, it is not time for this management to rest in Laurels. There are already signs that AI chip work can slow down. Over the next decade, a new business may have a vertical transition to the key to the success of the company.

The beginning of a new Meadatend allows you to be careful not to improve the speed and preventing equipment and preventing the company behind the company. However, as a result, the technological improvement will slow, the competition will increase and the edges will begin to decrease.

Network apparatus company Cisco Systems experienced during this time Dot-com bubble. The shares still did not exceed the high time in 2000.

So far there is no sign to crash as NVIDIA Cisco. With Proof Price-earnings more than one (P / E) A total of 34, its assessment remains very acceptable, taking into account its growth rate. For the context, S & P 500 It’s an average of 29th year. However, its generative AI hardware has some early signs that can start cold.

The company’s revenue growth slowed down 69% (below 262%) to 262%). Although this is the closure of the latest ban on chip export to China, the larger story may be becoming an internal solution to the home hardware needs.

The good news is that NVIDIA has a new vertical new vertical promising newly vertical prospects that can help you diversify income flows over the next ten years.

Experience in design and production of NVIDIA’s leading computer chips will only prefer generative AI in opportunities. Robotics and Self-driving machines The next big thing can be.

For example, the Tesla, NVIDIA chips, supported SuperComputer DOJO to support their own humanoid robots and self-control taxis. The last program began trading operations in Texas, Texas, Texas, this month. It is unknown how these enterprises will perform for a long time, there are epic potentials.