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Home / Business and Economy / AI Boom: Trillions Spent, Profit Dreams

AI Boom: Trillions Spent, Profit Dreams

21 Nov

•

Summary

  • Nvidia's quarterly profit surged 65% year-over-year.
  • OpenAI plans to spend $1.4 trillion on computing power.
  • Industry veterans compare the AI boom to the dot-com bubble.
AI Boom: Trillions Spent, Profit Dreams

The technology sector is witnessing unprecedented expansion, highlighted by Nvidia's recent quarterly profit surge of 65% and its valuation exceeding $5 trillion. Major tech firms like Microsoft and Google also report substantial profits, fueling optimism. However, a contrasting view emerges from industry insiders who perceive a speculative bubble, likening the current situation to the dot-com era and cautioning against potential financial fallout.

Concerns are amplified by the enormous sums being invested in AI startups, such as OpenAI, which plans to spend $1.4 trillion on computing power, and Anthropic's $50 billion data center investment. Many of these companies are not yet profitable, leading to questions about the sustainability of their 'fake it till you make it' approach, especially as they incur significant debt for infrastructure.

The broader market shows mixed signals, with a recent dip in tech stocks. Analysts predict nearly $3 trillion will be spent on data centers by 2028, with a significant portion financed by debt, raising systemic risk concerns. The ultimate health of the AI market hinges on these companies' ability to generate profits before their substantial debts become unmanageable.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Nvidia reported a quarterly profit jump of 65% year-over-year, reaching nearly $32 billion.
OpenAI has committed to spending $1.4 trillion on computing power for its artificial intelligence pursuits.
The comparison arises from massive, often unprofitable, spending by tech companies and soaring valuations, mirroring the speculative conditions of the late 1990s.

Read more news on

Business and Economyside-arrowAnthropicside-arrowGoogleside-arrow

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