<div id="readability-page-1">China's DeepSeek recently published a research paper that shocked Wall Street. The startup company claims it spent less than $6 million to train an artificial intelligence (AI) model whose performance matches or nearly matches that of leading U.S. models. Comparatively, OpenAI spent more than $100 million on its GPT-4 model. Nvidia (NVDA -3.67%) stock declined sharply on the news. Its market value fell nearly $600 billion in a single day, the largest daily loss by any listed company in history. The logic behind the crash is straightforward: If DeepSeek built a good AI model for less money, U.S. companies can use the same training methods to achieve similar efficiencies. Consequently, investors are worried U.S. companies would spend less than anticipated on Nvidia GPUs, which are usually the most expensive line item in AI infrastructure budgets. But the market may have overreacted. Nvidia shareholders just got good news from Meta Platforms (META 0.32%) and Microsoft (MSFT 0.02%), two of its largest customers. Read on to learn more. <h2>Good news from Meta Platforms: CEO Mark Zuckerberg views heavy investments in AI as a strategic advantage</h2> Meta Platforms CFO Susa Li told analysts on the fourth-quarter earnings call that capital expenditures would increase as much as 66% to $65 billion in 2025 to support its generative AI efforts and core business. That represents a material acceleration from the 39% increase in capital expenditures last year. CEO Mark Zuckerberg also provided context, telling analysts Meta's ability to spend heavily on AI is going to be a &#34;strategic advantage&#34; over time. He also said more efficient training methods do not necessarily reduce the need for AI chips. Instead, he sees recent breakthroughs as an opportunity to apply more computing power to inference workloads to &#34;generate a higher level of intelligence and a higher quality of service.&#34; <h2>Good news from Microsoft: CEO Satya Nadella says demand will increase exponentially as AI becomes more affordable</h2> Not to be outdone by DeepSeek, Microsoft CEO Satya Nadella said on the latest earnings call: &#34;We ourselves have been seeing significant efficiency gains in both training and inference for years now. On inference, we have typically seen more than 2x price-performance gain for every hardware generation and more than 10x for every model generation due to software optimizations.&#34; However, Nadella thinks the consequences will be favorable for Nvidia. &#34;As AI becomes more efficient and accessible, we will see exponentially more demand,&#34; he told analysts on the call. Nadella also posted on X: &#34;Jevons paradox strikes again! As AI gets more efficient and accessible, we will see its use skyrocket.&#34; <div><img src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDYyMTYvc2VtaWNvbmR1Y3Rvci1jaGluYS5qcGcmdz03MDA?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" width="700" height="467" original-src="https://imageproxy.pbkrs.com/https://g.foolcdn.com/image//query-b3A9cmVzaXplJnVybD1odHRwczovL2cuZm9vbGNkbi5jb20vZWRpdG9yaWFsL2ltYWdlcy84MDYyMTYvc2VtaWNvbmR1Y3Rvci1jaGluYS5qcGcmdz03MDA"/>Image source: Getty Images. </div> <h2>What the Jevons paradox means for Nvidia</h2> In the 1860s, economist William Stanley Jevons argued that the technological advancements that made coal a more efficient energy source paradoxically created more demand for coal. Put differently, Jevons believed the cost reductions arising from the greater price performance of coal were more than offset by the resultant increase in spending. When applied to Nvidia, the Jevons paradox means more efficient AI training methods will ultimately drive more demand for AI software and services. In turn, the cost savings arising from improved price performance of GPUs may be more than offset by the resultant increase in demand for those AI processors. Indeed, since DeepSeek published its report, Morgan Stanley analysts have upwardly revised their capital expenditure estimates, such that AI infrastructure spending among the four biggest hyperscalers -- Amazon, Alphabet, Meta, and Microsoft -- is projected to increase 32% to $317 billion in 2025, up from 28%. And that figure could increase further after Amazon and Alphabet report financial results this week. Importantly, other Wall Street analysts seem to be thinking along similar lines. Despite the DeepSeek news, Nvidia still has a median target price of $175 per share among the 67 analysts who follow the company. That implies 45% upside from its current share price of $120. </div>

NVDA

Nvidia's stock plummeted after China's DeepSeek claimed to have developed a competitive AI model for under $6 million, raising concerns about reduced spending on Nvidia GPUs. However, positive news from major clients Meta and Microsoft suggests continued investment in AI. Meta plans to increase capital expenditures by 66% to $65 billion by 2025, while Microsoft anticipates exponential demand growth for AI as it becomes more efficient. Analysts remain optimistic, with a median target price of $175 for Nvidia shares, indicating a potential 45% upside from the current price of $120.

- China's DeepSeek claims to have trained an AI model for under $6 million, rivaling U.S. models, leading to a significant drop in Nvidia's stock value.  
- Despite concerns over reduced spending on Nvidia GPUs, positive outlooks from Meta and Microsoft suggest increased capital expenditures and demand for AI technology.  
- Analysts predict a 32% rise in AI infrastructure spending among major companies, indicating that improved efficiency in AI may drive greater overall demand for Nvidia's products.

Nvidia Stock Investors Just Got Good News From Meta Platforms and Microsoft