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Reading: Nvidia CEO Jensen Huang’s Joke Sparks Issues Over Fast Depreciation Of AI Chips
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StockWaves > Trading > Nvidia CEO Jensen Huang’s Joke Sparks Issues Over Fast Depreciation Of AI Chips
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Nvidia CEO Jensen Huang’s Joke Sparks Issues Over Fast Depreciation Of AI Chips

StockWaves By StockWaves Last updated: March 24, 2025 3 Min Read
Nvidia CEO Jensen Huang’s Joke Sparks Issues Over Fast Depreciation Of AI Chips
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In a current jest, Nvidia’s CEO Jensen Huang might have inadvertently raised severe considerations for the corporate’s main shoppers, together with tech behemoths like Amazon, Microsoft, and Google.

What Occurred: Based on a report, Huang humorously commented on the swift obsolescence of Nvidia’s AI chips on the firm’s AI convention. 

Whereas the introduction of stronger GPUs like Blackwell is usually a optimistic improvement for the AI neighborhood, the fast-paced development of expertise can render earlier variations outdated faster.

This might end in these belongings depreciating sooner, which may have an effect on the earnings of enormous cloud corporations, stories the Insider.

“I stated earlier than that when Blackwell begins delivery in quantity, you couldn’t give Hoppers away,” he acknowledged, alluding to the corporate’s newest AI chip-and-server bundle, Blackwell, and its predecessor, Hopper.

Barclays’ main tech analyst, Ross Sandler, cautioned that these corporations would possibly have to implement modifications that would considerably lower income. “Hyperscalers are probably overstating earnings,” he famous in an investor memo.

Additionally Learn: Nvidia’s Huang Sees AI Workers On The Horizon

Amazon Net Providers, the most important cloud supplier, has already skilled the results. CFO Brian Olsavsky introduced final month that the corporate needed to scale back the helpful lifetime of a few of its servers and networking gear, which is able to lower working earnings this 12 months by roughly $700 million.

Sandler projected {that a} related alteration at Meta and Google may diminish their working earnings by $5 billion and $3.5 billion, respectively.

Nevertheless, not all corporations might have to implement the identical modifications. Some would possibly design their AI knowledge facilities otherwise, enabling Nvidia GPU techniques to last more or develop into much less out of date much less shortly.

Why It Issues: The fast depreciation of AI chips may have vital monetary implications for tech giants who’re main prospects of Nvidia. The depreciation of those belongings may result in a lower in earnings and working earnings, which may in flip influence their general profitability.

This case underscores the challenges confronted by tech corporations in maintaining with the fast-paced development of expertise and the necessity for strategic planning in managing their assets.

Learn Subsequent

Jensen Huang And Nvidia: Driving Excessive On AI, However For How Lengthy?

This content material was partially produced with the assistance of AI instruments and was reviewed and printed by Benzinga editors.

Market Information and Information dropped at you by Benzinga APIs

© 2025 Benzinga.com. Benzinga doesn’t present funding recommendation. All rights reserved.

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