NVIDIA reserves will go a stratosphere driven by a particularly competitive race

  • After the generative PG – now the AI ​​type is now quickly accepted – another large AI technological leap will be artificial general intelligence (AGI) and then perhaps for artificial care (ASI).

  • According to AI businessmen, AGI will be reached by 2030, although AI researchers predict that it will be reached by 2045.

  • NVIDIA equipment is a must for competition companies in order to achieve AGI and ASI.

  • 10 shares we like more than Nvidia ›

Don’t worry if you watched Nvidia (NASDAQ: NVDA) Stock and believing that you have missed your opportunity to invest in artificial intelligence (AI) technology Juggernaut. NVIDIA stock still has not only great but also fantastic long -term growth potential.

The main NVIDIA growth manager will be a constant demand for its graphics processing devices (GPU) and related technologies for some time to generate AI. (Generation AI is AI type that has a sensation in the technology world, when the Openai released its Chatgpt Chatbot at the end of 2022.) Some specific generative AI applications that will encourage this growth, include customer service operations, without drivers’ vehicles and early useful humanid robots.

However, the main engine of Nvidia growth Long -term There will be something that is little coverage: a race to achieve artificial general intelligence (Agi) and then artificial supervilos (ASI).

Image Source: Getty Images.

You may think that there is continuity AI continuity – A type that is now accepted – to artificial intelligence (AGI) to artificial supervilos (ASI).

The generative AI has amazing opportunities and is a huge technological leap. It is characterized by model recognition and other forms of specific thinking. But it cannot match human level of critical thinking and true creativity. This is not surprising because the generative AI is taught data that already exists in this world. In addition, even the best generative AI models are prone to “AI Hallucinations”, which are incorrect or misleading results that are given confidence.

Moving from the generative AI to Agi will be another huge technological leap. AGI is a type of artificial intelligence that at least corresponds to the average capabilities of people in virtually all cognitive tasks.

The meaning of artificial superinitude is easy to understand from its name. This technology will be very intellectual, or significantly The smartest than even the smartest people in almost every cognitive task.

PG researchers usually believe that AGI’s achievement is inevitable. Research firm AI Multi has recently been released macro -analysis that the average prognosis for AI researcher when AGI will be reached in 2040 or within 15 years.

Before starting AI models powered by generative AI (which began at the end of 2022), the average prognosis was 2060. These data show how much the advent of the generative AI has increased AI opportunities.

According to analysis, entrepreneurs are even more optimistic. On average, they predict the AGI will be reached in 2030. Or in just five years.

There will be even more artificial care in the future, so the forecasts provide limited value.

Currently, Nvidia’s dominance in the global AI semiconductor-Aarba “chip”-in the church, refers to its GPU and related technologies essential for companies seeking AGI and ASI. These companies are likely to cover all major technology leaders (Alphabet, AmazonIs it An appleIs it Meta platformsand Microsoft) Tesla and other large technology company Openai and many other AI local companies.

Let’s turn to the topic that Nvidia stocks like to pay attention: all the big technology companies and Tesla have created or created their own chips. This is for internal use and in some cases to use their cloud computing services, which also offer NVIDIA GPU. But As suggested by the name of the category of these chips-the integrated circuit (ASICS)-they are ideal only for specific programs.

GPU – and above all NVIDIA GPU – remains a golden standard in general AI models training and AI programs installation. And there are no signs that NVIDIA dominance in this humble and fast -growing market will end at any time.

NVIDIA announced on Monday that Openai is investing up to $ 100 billion ($ 100 billion!). The essence of this post:

Open and nvidia … [plan] Install at least 10 NVIDIA systems gigavatas for the new generation AI infrastructure for the Openai to train and run a new generation of models On the road to the seduction installation; [Emphasis mine.]

$ 100 billion in the context, which is almost twice as many cash and equivalents, how much NVIDIA had at the end of the last quarter of the last announcement. It is also more cash and equivalents than any of the other “amazing seven” companies (Alfabet, Amazon, Apple, Meta platforms, Microsoft and Tesla) had their books. (This doesn’t mean NVIDIA will use all its cash money. Openi Investment will be over the years. In addition, Nvidia generates powerful cash flows. In recent years its cash flows from surgery have been $ 77 billion).

Technical billionaires are a particularly competitive squad, so a huge investment planned by NVIDIA in Openai should speed up the race to reach Agi and ASI. And it will be useful for NVIDIA and its shares, as companies will fierce even more money to buy NVIDIA AI-EABLING infrastructure.

Consider this before buying NVIDIA:

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Beth McKenna occupies positions in Nvidia. The Motley Fool has positions and recommends Alfabet, Amazon, Apple, Meta platforms, Microsoft, NVIDIA and Tesla. The Motley fool recommends the following options: 2026. January 395 USD calls Microsoft and briefly 2026. January $ 405 Microsoft calls. The Motley fool has a disclosure policy.

Forecast: NVIDIA reserves will go to a stratosphere driven by a particularly competitive competition to achieve an artificial Super

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