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AMD Shares Drop 8% Amid Disappointing AI Chip Revenue and Pressure from Nvidia

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Advanced Micro Devices (AMD) saw its stock plunge by 8% on Wednesday after the company’s AI chip revenue fell short of analysts’ expectations, highlighting its struggle to capture market share from the dominant player, Nvidia. AMD’s fourth-quarter data center revenue, which reflects demand for its AI processors, increased by 69% to $3.9 billion. However, this figure missed the consensus estimate of $4.15 billion.

Despite AMD’s success in gaining ground in the central processing unit (CPU) market, the company continues to lag far behind Nvidia in the graphics processing unit (GPU) sector. According to technology analyst Ben Barringer, while AMD is taking market share from Intel in CPUs, it faces significant challenges in disrupting Nvidia’s established position in the GPU market.

The disappointing results led to a $15 billion loss in AMD’s stock market value, further compounded by an 18% decline in shares last year. While AMD’s stock had surged more than 100% in 2023 amid hopes for its AI-optimized GPUs, Nvidia’s stock has skyrocketed by 171% in 2024. The growing trend of tech giants, including Microsoft and Meta, developing in-house chips to reduce costs may also diminish demand for AMD’s processors.

As Nvidia continues to outperform and custom chips gain popularity, BofA analysts noted that AMD could struggle to make significant inroads in the AI chip market. Additionally, the launch of DeepSeek, a low-cost AI model by Chinese firm DeepSeek, has made investors more cautious about heavy spending on AI chips, further undermining confidence in AMD’s prospects.

At least 22 analysts have lowered their price targets for AMD, with the median target now set at $150, down from $166.5 before the results.

 

ASML CEO Discusses Positive Impact of DeepSeek AI Launch on Chip Demand

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Christophe Fouquet, CEO of ASML, shared his perspective on the growing influence of AI technologies, such as China’s DeepSeek, on the global chip market. He emphasized that efficient AI models are ultimately a positive force for the semiconductor industry, countering the perception that AI spending is primarily driven by large-scale investments from tech giants like Google, Meta, and Microsoft. These companies are pouring billions into building advanced data centers, but according to Fouquet, the actual demand for chips driven by this sector remains relatively small.

Fouquet argued that the broader chip demand will come from the integration of AI into various consumer and industrial applications. He highlighted examples, such as AI-enabled phones, cars, and robotics, noting that for these products to reach mass adoption, the cost of the chips must be affordable. If the cost of chips remains high, only a small number of expensive units would be sold, limiting widespread access to AI technology.

When discussing the recent launch of DeepSeek’s AI product, which had a significant impact on tech stock prices, Fouquet remained optimistic, stating that anything that helps drive down costs is beneficial for ASML in the long run. While the potential of DeepSeek’s technology remains uncertain, he believes that cost reduction is key to enabling AI to be more accessible to a wider audience.

Analyst Sara Russo from Bernstein agreed with Fouquet’s viewpoint but noted that the effects of DeepSeek’s launch are still unfolding. She pointed out that ASML’s role as a supplier will depend on how AI applications evolve and influence chip demand, as well as the needs of chip manufacturers.

 

Why Tech Giants Are Turning to Nuclear Power to Meet Energy Demands

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The tech industry’s growing appetite for energy, driven by artificial intelligence (AI) and cloud computing, is pushing global electricity demands to unprecedented levels. According to the U.S. Department of Energy, global electricity usage could increase by up to 75% by 2050, with tech companies’ AI ambitions serving as a significant factor.

Data centers supporting AI and cloud computing are becoming massive energy consumers, rivaling the electricity demands of entire cities. For instance, Mark Nelson, managing director of Radiant Energy Group, explained, “A new data center that needs the same amount of electricity as, say, Chicago, cannot just build its way out of the problem unless they understand their power needs—steady, 100% power, 24/7, 365 days a year.”

To address these growing demands while staying committed to sustainability goals, tech giants like Google, Amazon, Microsoft, and Meta are increasingly investing in nuclear power. Nuclear energy offers a scalable, carbon-free, and always-on solution that complements intermittent renewable sources like wind and solar.

Michael Terrell, Google’s senior director of energy and climate, emphasized the advantages of nuclear energy: “It’s a carbon-free source of electricity. It’s a source of electricity that can be always on and run all the time. And it provides tremendous economic impact.”

For years, nuclear energy faced setbacks due to safety concerns, fears of meltdowns, and widespread misinformation. However, the energy landscape is shifting. Experts believe that tech companies’ investments could spark a “nuclear revival,” providing a sustainable energy pathway for both the tech industry and broader society.

As AI and data-driven technologies continue to expand, nuclear power may become an integral part of the energy transformation necessary to meet the rising demands of the digital era.