Prediction: nvidia -shares decrease after 26 February

Prediction: nvidia -shares decrease after 26 February

Tech Giants dump mountains of cash in data centers for artificial intelligence (AI). Microsoft Plans to spend $ 80 billion this year to expand its AI capacity. Amazon Stimulates its total capital expenditure, spread over his retail and cloud companies, up to $ 100 billion to accelerate its AI efforts. And Meta platforms Pour $ 65 billion into its data centers to feed his AI ambitions.

At first glance this all sounds great for Nvidia (Nasdaq: NVDA) stock. The company dominates the market for powerful AI accelerators and second place AMD has already drawn up a disappointing prediction for his own AI chips sales this year. Nvidia will create the lion’s share of editions that will scoop to AI accelerators.

Predictions for AI Accelerator Sales Painting a rosy image for Nvidia. Amd, for example, once predicted that AI accelerators would generate $ 500 billion in industry in 2028.

However, investors must ask an important follow -up question: how could those expenses possibly be justified?

If companies spend a half-trillion dollar a year on AI accelerators, not to mention many billions more about other data ineresters, those investments must bear fruit in the form of new sources of income or cost savings.

Is that realistic? What will that new income generate?

The appreciation of NVIDIA is based on optimism – namely the optimism that income and profit can continue to grow for years with blister percentages for years. The share is currently being traded for more than 40 times expected income for tax 2025.

This is a company that is already worth more than $ 3 trillion and generated $ 20 billion in adapted net income last quarter. The market for AI accelerators must continue to grow quickly for the Nvidia stock price to be useful.

It is not the case that investors make the possibility that the demand for AI accelerators flatlines – it is that investors that collapses the question. What happens to NVIDIA shares if, after Microsoft, Amazon and Meta, hundreds of billions of dollars in AI data centers, those companies fail to generate a reasonable return on the investment?

The AI ​​Investment Boom feels like a huge case of FOMO (fear of missing). Technical giants are terrified of being left behind, so they throw caution to the wind.

There is now a huge amount of demand for AI computer capacity, but how many of them is experiments? In other words, how many of them are companies that try to see if it is financially useful? When some of those experiments do not come out, what will happen?

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