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Luke Kawa

Intel drops on report that Nvidia stopped testing the 18A chip production process used by the chip manufacturer

Early on Christmas Eve, shares of Intel are tumbling like Santa off a rooftop after one too many spiked eggnogs.

Reuters reports that Nvidia “recently tested out whether it would manufacture its chips using Intel’s production process known as 18A but stopped moving forward, two people familiar with the matter said.”

Intel, for its part, told Reuters that its 18A processes are “progressing well” while it “continues to see strong interest” for its more advanced 14A production process. Previous reporting from the outlet indicated that in CEO Lip-Bu Tan’s early days leading Intel, he considered shelving the 18A manufacturing process entirely in favor of 14A in a bid to be more competitive with the likes of TSMC.

The $4 trillion chip designer announced a $5 billion investment in the chipmaker back in September as part of a collaboration that would see the two parties codevelop data center and PC products. That news sent shares of Intel up 23% in a single session, their biggest one-day gain since 1987.

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How GLP-1s elevated Hims — and brought it back down to earth

Here's a look at how the company's GLP-1 business has sent the stock on a wild ride

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Western Digital jumps ahead of Nvidia earnings report later today

Hard disk drive maker Western Digital is on track for one of its best days of the month Wednesday, on relatively little news.

Traders may be trying to get ahead of any expected share bump related to Nvidia’s earnings extravaganza after the close of trading today.

Western Digital saw its best day — up almost 17% — in almost six years in early January, after Nvidia CEO Jensen Huang’s keynote speech at the Consumer Electronics Show in Las Vegas underscored the surge in demand for memory that AI is producing.

Western Digital executives have previously talked up the fact that some of the company’s products are qualified for use in Nvidia server stacks.

Fellow hard disk drive maker Seagate Technology Holdings is also having one having one of its best days in February.

Western Digital saw its best day — up almost 17% — in almost six years in early January, after Nvidia CEO Jensen Huang’s keynote speech at the Consumer Electronics Show in Las Vegas underscored the surge in demand for memory that AI is producing.

Western Digital executives have previously talked up the fact that some of the company’s products are qualified for use in Nvidia server stacks.

Fellow hard disk drive maker Seagate Technology Holdings is also having one having one of its best days in February.

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Nvidia and AMD’s different deals show that while AI chatbots may be commoditized, the chips aren’t

One enigma I’m noticing in the AI boom?

The publicly available chatbots, effectively the best universal manifestation of artificial intelligence we have, feel more or less the same to me. That is, commoditized.

Maybe this is a skill issue; I’m not the most high-tech person. That being said, I have experienced substantial performance gaps between paid and free versions, and am aware that more specialized tools offer better tailored results for certain tasks (i.e. Claude Code). But still, I’m Gemini-first, but polyAImorous when it comes to chatbot usage.

Based on how Big Tech companies treat GPUs, the inputs used to train and run many chatbots, those seem to be anything but commoditized.

Two of the AI chip deals reached by Advanced Micro Devices, the No. 2 in GPUs, have involved the company forking over the rights to potentially massive equity stakes in the company in exchange for securing these buyers. First was OpenAI, then Tuesday’s pact with Meta.

Lisa Su and co. seemingly can’t get customers on normal terms the way Jensen Huang and co. can.

Nvidia, which reports earnings Wednesday after the close, enjoys a dominant market position. Sure, it subsidizes its customers’ acquisitions of chips, but it could be argued that this is just a way in investing in its own success by trying to make sure the company has as many viable future clients as possible. Nvidia and Meta’s “multi-year, multi-generational strategic partnership” that will see the social media giant buy millions of GPUs in the former didn’t involve the chip designer needing to give Mark Zuckerberg any potential equity exposure.

Nvidia’s offerings are able to command a significant premium because its hardware not only comes with a track record, but it’s also attached to the CUDA software system that AI developers are comfortable with.

In a sense, some of the best industry comps here are found in energy (something AI data centers chock-full of GPUs need a lot of!).

Different forms of crude can be refined into the same kind of gasoline; your car won’t know the difference. Similarly, hydropower, solar power, or natural gas can all be used to generate electricity, and as long as the lights are on, people won’t be able to tell which one it was.

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The vast majority of S&P 500 companies are talking about AI this earnings season, at least in broad strokes.

But precious few are disclosing hard numbers on how AI makes them more profitable, according to a review of Q4 earnings calls conducted by Goldman Sachs analysts.

In a note published late Tuesday, analysts with the bank found that just 1% of the members of the S&P 500 have “quantified the impact of AI on earnings.” That’s despite 70% of the blue-chip index’s members “broadly discussing AI” on earnings calls.

They wrote:

“In earnings calls, many companies have grouped AI with broader automation and productivity initiatives, making it difficult to disentangle the impact of AI specifically. 10% of S&P 500 companies quantified the productivity boost from an AI on a specific use case during their 4Q earnings calls, particularly among developers. Our economists recently highlighted softness in tech employment in recent months.”

Only two new companies quantified an AI productivity impact on their current earnings, Goldman found. One was financial analytics and ratings powerhouse S&P Global. The other was water treatment and commercial cleaning products manufacturer Ecolab.

The gap between the share of executives yapping about AI and the dearth of detail on the technology’s bottom-line impact may be part of the reason investors have gotten slightly jittery about AI during the recent flurry of earnings reports, with volatility on baskets of AI-related stocks picking up over the last month.

Investors know that tech giants are boosting the amount they plan to spend on AI investments in the coming year to over $600 billion. They also know that customers who will buy AI services from Amazon , Google, and Microsoft — to name a few — will have to see real benefits from using it.

If they don’t, the customers won’t keep paying. And there goes the hyperscalers’ ROI.

Anyway, we’re still waiting to see those benefits.

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