The Blackwell series of chips was exposed to Waterloo before mass production", and the shipment was delayed for 3 months

Nvidia's "Waterloo" moment

One stone stirs up a thousand waves

Nvidia's next-generation Blackwell chip has delayed deliveries, causing an uproar in the tech community. This not only caused customer dissatisfaction, but also opened up the anxiety of the capital market for AI investment.

Previously, Nvidia was confident in the Blackwell chip and expected to be able to deliver it on a large scale this year. Unexpectedly, a serious design flaw was discovered before mass production, and the shipment had to be delayed for 3 months. This is undoubtedly a heavy blow to the downstream tech giants.

Google, Meta, Microsoft and other companies have placed large orders, and Google alone has ordered more than 400,000 chips, with a total value of more than $10 billion. Originally, these chips were planned to be put into use in early 2025, but now I am afraid that it will be a few months late. This will inevitably slow down the pace of these companies in the field of artificial intelligence.

And it is precisely because of the frenzied investment in these tech companies that has led to Wall Street's concerns. They believe that the development of artificial intelligence is far from meeting expectations, but there is an unreasonable hype. The sharp fluctuations in Nvidia's stock price are a true portrayal of the imbalance in investor sentiment.

In fact, although AI technology has great potential, it is still a long way from being applied at real scale. Capital investment alone is not enough, technological breakthroughs and product implementation are the key. NVIDIA's "Waterloo" this time can be regarded as a timely warning.

Tech companies should not over-embrace AI, as the "FOMO" mentality can backfire. The future artificial intelligence track is bound to be a long and tortuous process. Whoever can keep a clear head is likely to end up having the last laugh.

Nvidia's "Waterloo" moment (below)

The "butterfly effect" caused by Nvidia's chip delay

NVIDIA's "Waterloo" far affected not only downstream customers, but also the entire investment market.

After the news broke, Nvidia's stock price experienced a round of sharp fluctuations. It was a rollercoaster ride, falling 7% at one point, then rebounding 13% before falling nearly 7%. This sharp volatility even surpasses that of Bitcoin.

The reason for this is that the capital market is anxious about AI investment by tech giants. In the past two years, with the exception of ChatGPT and Github Copilot, two popular products, other AI applications have not brought as large-scale gains as expected. Goldman Sachs even predicts that AI will only increase United States productivity by 0.5% over the next decade, contributing little to GDP growth.

Barclays analysts pointed out that the reason why technology companies are crazy to spend money on AI is mainly due to the psychology of "fear of missing out" (FOMO). Once that sentiment subsides, next year they will start cutting back on AI investments.

In this regard, Elliott Management, a well-known hedge fund, is even more blunt, believing that technology giants such as Nvidia are in an AI bubble and their stock prices are seriously overvalued.

It can be said that NVIDIA's "Waterloo" not only hit the confidence of downstream customers, but also triggered widespread doubts in the capital market about AI investment in technology companies. The turmoil may mark a turning point in the AI boom.

In the future, technology companies need to return to rationality and take a cautious view of AI investment. At the same time, it is also necessary to strengthen technological innovation and product implementation, rather than blindly chasing concept hype. Only in this way can artificial intelligence truly mature and play its due role in practical applications.

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