Sam Altman’s like, “Uh-oh, AI bubble might be even bigger than dot-com bubble”
What was once seen as an exaggerated fear not too long ago is now becoming more of a reality. Sam Altman, the face of artificial intelligence, has admitted that the industry may be in a bubble. Speculation, power concentration in a few companies, and uncertain benefits are causing concern. History shows us that similar bubbles have led to collapses, but also to technological revolutions that changed the world.
## Sam Altman and the Reality Check
Altman surprised many by acknowledging that investors are overly enthusiastic about AI, drawing parallels to the dot-com bubble. While he believes that artificial intelligence is incredibly important, he also recognizes that excessive speculation can create expectations that are impossible to meet in the short term.
The AI bubble could potentially be even bigger than the dot-com bubble.
## Similarities with Previous Bubbles
From 2000 to 2002, the Nasdaq lost nearly 80% of its value when the Internet failed to meet immediate business expectations. We could see a similar scenario with AI projects facing excessive investment. However, as with the Internet or railroads, the aftermath could leave a lasting impact.
## Value Concentration and Speculation
Analysts have shown how a small number of tech giants hold nearly 40% of the value of the S&P 500 since the launch of ChatGPT. This concentration of value raises concerns about monopolization of capital and expectations.
Deepseek, a Chinese AI-based technology that does not rely on expensive US-manufactured chips, poses a significant threat to the current AI bubble.
Despite the excitement surrounding AI, the business adoption of this technology has yet to demonstrate clear benefits. A study by MIT found that 95% of companies implementing AI do not see improvements. Even GPT-5, touted as a groundbreaking advancement, has faced criticism for falling short of expectations. This disconnect between promises and reality only adds to the uncertainties.
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