AI Hype Meets Harsh Market Reality
Tech stocks stumbled sharply after fresh warnings of an AI bubble rattled investors. A new MIT study found that 95% of companies see no financial returns from generative AI. On the same note, OpenAI’s Sam Altman compared the current AI rush to the dotcom bubble, hinting at overheated valuations.
This double blow hit markets hard. The Nasdaq slid more than 1.2%—its steepest drop since August—as traders reassessed their optimism toward artificial intelligence.
Nvidia and Palantir Lead the Decline
Nvidia, which recently crossed the $4 trillion market cap milestone, lost 3.5% in early trading. Palantir saw an even sharper decline, nearly 10%, underscoring investor unease.
The selloff didn’t stop in the U.S. Korea’s SK Hynix slipped 2.9%, Taiwan’s TSMC dropped 4.2%, and Japan’s SoftBank cratered over 7%. In contrast, Chinese tech firms Alibaba and Tencent were barely affected, and SMIC even gained 3%.
Market Skepticism Deepens
Wedbush analyst Dan Ives acknowledged the turbulence but stressed that AI’s long-term promise remains intact. “We are still in the early days of the AI revolution,” he said, pointing out that companies like Nvidia continue to drive massive value creation.
Yet, concerns persist. Many analysts fear investment in AI is racing far ahead of sustainable business results. The MIT study suggested that corporate “learning gaps” and flawed implementation—not AI technology itself—are responsible for poor returns so far.
Echoes of the Dotcom Bubble
Altman’s caution wasn’t isolated. Notable voices including Alibaba cofounder Joe Tsai and Bridgewater founder Ray Dalio have drawn parallels between today’s AI hype and the 1990s internet boom.
Dalio warned earlier this year that while AI is transformative, many investors may be mistaking technological progress for guaranteed financial success. Apollo Global’s Torsten Slok took it further, warning that today’s AI valuations could even surpass the excesses of the dotcom era.
Final Takeaway
The current selloff underscores the tension between AI’s enormous potential and the immediate challenges of turning hype into profit. Investors now face a crucial question: is this a temporary correction or the start of a broader reckoning?
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