The bubble in the field of artificial intelligence
The term "AI bubble" refers to concerns that there may be a significant overvaluation of AI companies and projects, which could lead to a sudden collapse in their market values, similar to previous economic bubbles. Signs of this phenomenon: Huge investments: Pumping billions of dollars into artificial intelligence companies at very high valuations that may not correspond to their actual revenues. Overhyped expectations: Promises that artificial intelligence will revolutionize every field rapidly, and sometimes in an unrealistic manner. Media Hype: Intensive media coverage and excessive enthusiasm around every development in the field Corporate Race: Companies are rushing to announce artificial intelligence products even if they are not mature. Main concerns: Operational costs (, especially for infrastructure and energy ), are much higher than the expected returns. Profitable practical applications may be less than expected. The possibility of a bubble burst when companies fail to deliver on promised profits. This does not necessarily mean that artificial intelligence is unimportant, but rather that expectations and assessments may be inflated compared to the current reality.
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The bubble in the field of artificial intelligence
The term "AI bubble" refers to concerns that there may be a significant overvaluation of AI companies and projects, which could lead to a sudden collapse in their market values, similar to previous economic bubbles.
Signs of this phenomenon:
Huge investments: Pumping billions of dollars into artificial intelligence companies at very high valuations that may not correspond to their actual revenues.
Overhyped expectations: Promises that artificial intelligence will revolutionize every field rapidly, and sometimes in an unrealistic manner.
Media Hype: Intensive media coverage and excessive enthusiasm around every development in the field
Corporate Race: Companies are rushing to announce artificial intelligence products even if they are not mature.
Main concerns:
Operational costs (, especially for infrastructure and energy ), are much higher than the expected returns.
Profitable practical applications may be less than expected.
The possibility of a bubble burst when companies fail to deliver on promised profits.
This does not necessarily mean that artificial intelligence is unimportant, but rather that expectations and assessments may be inflated compared to the current reality.