nvidia, amd and google Updates

The artificial intelligence sector continues to drive significant market activity. SK Hynix, a leading memory chipmaker, is considering a US stock market listing to fund the expansion of its high-bandwidth memory (HBM) chip production, essential for AI. The company's stock surged about 240% this year due to high demand. Western Digital's stock also saw a remarkable 174% increase, fueled by excitement for its AI data storage solutions. In the competitive AI chip market, Nvidia remains a dominant force, reporting a 62% revenue increase in its third quarter and stating its cloud GPUs are "sold out." However, Nvidia faces growing competition as companies like AMD and Alphabet (Google) develop their own AI chips. Marvell Technology is also positioning itself for significant growth, with its data center business expanding by 38%. It plans to acquire Celestial AI for $3.25 billion, potentially generating $75 billion in lifetime revenue from custom AI chip designs. Broadcom, another semiconductor provider, saw shares rise nearly 20% since Google launched Gemini, benefiting from custom chip orders for Google. On the software and cloud front, Palantir's business continues strong growth, with third-quarter revenue up 63% to $1.12 billion. Oracle's cloud backlog grew to nearly $500 billion, and its work with OpenAI is viewed positively, despite a recent stock drop. Meanwhile, Meta is making a notable shift in its AI strategy. The company is moving away from its previous open-source stance to develop a "closed" AI model, codenamed "Avocado." This new model, which Meta plans to tightly control and sell access to, aligns the company more closely with competitors like Google and OpenAI. The rapid expansion of the AI industry, however, is also raising financial concerns. Data center operator CoreWeave, for instance, operates without profits and carries billions in debt, despite securing major partnerships with OpenAI, Meta, and Nvidia. Its revenue relies heavily on a few key customers. This intricate web of deals, where AI companies often exchange future profits for access to Nvidia's expensive chips, along with massive data center investments and heavy borrowing by tech giants, has some experts drawing parallels to the 2008 financial crisis. A Goldman Sachs report also suggests that the era of all AI stocks rising together may be ending, indicating a more selective market ahead.

Key Takeaways

  • SK Hynix is considering a US stock market listing to fund expansion of its high-bandwidth memory (HBM) chip production, with its stock up 240% this year.
  • Western Digital's stock surged 174% this year due to strong demand for AI data storage solutions.
  • Nvidia remains a dominant AI chip provider, reporting a 62% revenue increase, but faces growing competition from AMD and Alphabet (Google) developing their own chips.
  • Marvell Technology is poised for significant AI chip growth, acquiring Celestial AI for $3.25 billion, with a potential $75 billion lifetime revenue from custom AI designs.
  • Palantir's software business saw third-quarter revenue increase 63% to $1.12 billion, maintaining strong growth with little competition.
  • Oracle's cloud backlog grew to nearly $500 billion, and its collaboration with OpenAI is seen as a positive indicator.
  • Meta is shifting its AI strategy to a "closed" model, codenamed "Avocado," aligning with competitors like Google and OpenAI, moving away from its previous open-source approach.
  • Broadcom's shares rose nearly 20% since Google launched Gemini, benefiting from custom chip orders for Google.
  • Concerns are rising about AI industry financing, with CoreWeave having billions in debt and relying on key customers like OpenAI, Meta, and Nvidia, drawing comparisons to the 2008 financial crisis.
  • A Goldman Sachs report indicates that not all AI stocks will continue to rise together, suggesting a more selective market environment.

SK Hynix considers US stock market listing

SK Hynix, a major AI memory chipmaker, is thinking about listing its shares on the US stock market. The company is looking at different ways to increase its value, including using treasury shares for a potential New York Stock Exchange listing. Nothing is final yet. SK Hynix's stock has already jumped about 240% this year. This growth comes from the high demand for its special high-bandwidth memory chips, which are essential for powering the artificial intelligence boom.

SK Hynix plans US listing for AI chip investment

South Korean memory chipmaker SK Hynix is thinking about listing its shares in the United States. The company needs to invest more money to expand its production of advanced chips for artificial intelligence computing. SK Hynix made a smart move by focusing on high-bandwidth memory chips early on. This helped the company greatly when generative AI became popular. SK Hynix is currently the world's top memory chipmaker by revenue.

Investing in Canadian AI stocks for future growth

Investing in artificial intelligence stocks can help you benefit from new technology. Canadian companies are leading the way in AI, creating many investment chances. These include areas like machine learning, natural language processing, computer vision, and robotics. Before investing, research companies to find those with a strong history and clear growth plans. Spreading your investments across different AI areas can also help reduce risk.

Oracle and Broadcom earnings impact AI stock market

This week's earnings reports from Oracle and Broadcom are important for the AI stock market. Wall Street expects both companies to show continued strong demand for AI. Oracle's stock first soared 36% in September after its cloud backlog grew to nearly $500 billion. However, it later dropped over 30% due to worries about customer focus and an AI bubble. Broadcom, a semiconductor provider, has performed well, with its shares rising nearly 20% since Google launched Gemini. Experts believe Oracle's work with OpenAI and Broadcom's custom chip orders for Google are positive signs. However, a Goldman Sachs report suggests that not all AI stocks will rise together anymore.

Marvell Technology poised for big AI chip growth

Marvell Technology, a semiconductor company, could become a major winner in the AI chip market by 2026. Although its stock fell 10% in 2025, the company reported strong fiscal 2026 third-quarter results with revenue up 37% to $2.1 billion. Its data center business, which makes up three-fourths of its revenue, grew by 38%. Marvell is developing many custom AI chip designs and expects significant revenue from new customer programs starting in fiscal 2028. The company is also acquiring Celestial AI for $3.25 billion, adding advanced photonic fabric interconnect technology. This acquisition is expected to boost Marvell's revenue significantly from late fiscal 2028, with a potential lifetime revenue opportunity of $75 billion from custom AI.

Palantir or Nvidia which AI stock is better

Palantir and Nvidia have been top-performing AI stocks since 2023, both growing revenue over 60% yearly. Palantir's software business faces little competition and continues to grow strongly, with third-quarter revenue up 63% to $1.12 billion. Nvidia, however, sees increasing competition from companies like AMD and Alphabet, which are developing their own AI chips. Despite this, Nvidia's CEO Jensen Huang stated that their cloud GPUs are "sold out," and the company reported a 62% revenue increase in its third quarter. While Palantir's business model is very strong, its stock trades at a much higher valuation of 243 times forward earnings compared to Nvidia's 38 times. Because of its more reasonable price, Nvidia is seen as the better AI stock for 2026.

RBC bullish on Aecom despite AI revenue concerns

RBC Capital Markets analyst Anurag Soin remains positive on Aecom, keeping an Outperform rating and a $144.50 price target. Soin believes Aecom is one of the best industrial stocks to buy, with 11 analysts giving it a strong buy rating and a potential 41% increase from its current $102.50 share price. However, Baird analyst Andrew Steinerman has concerns that the rise of AI could reduce demand for some of Aecom's consulting services. This might put pressure on the company's revenue in the long term, though Steinerman kept a neutral rating on the stock. Despite these worries, RBC continues to be optimistic about Aecom's market position and growth opportunities.

Western Digital stock surges on AI storage demand

Western Digital's stock has seen a huge increase, jumping 174% this year and 222.2% over the past 12 months. This growth comes from strong excitement about data storage solutions for artificial intelligence. Investors believe companies like Western Digital will greatly benefit from the need for high-capacity and powerful storage devices. These devices are crucial for training and using AI models. The big question now is whether the current stock price truly reflects the company's future potential or if it has become too expensive.

Meta shifts to closed AI model stock falls

Meta's stock dropped 1.2% after reports that the company is changing its strategy for AI development. Meta is now creating a "closed" AI model, codenamed "Avocado," which it plans to control tightly and sell access to next spring. This move is a big change from CEO Mark Zuckerberg's previous support for open-source AI and aligns Meta with competitors like Google and OpenAI. The company's TBD Lab group is using technology from other firms, including Alibaba's Qwen model, despite Zuckerberg's past concerns about Chinese AI. This shift follows disappointment with Meta's Llama 4 open-source model and has led to internal tensions within the company's AI leadership.

AI industry deals raise 2008 financial crisis fears

The way AI companies are making deals and financing their growth is starting to worry some experts, reminding them of the 2008 financial crisis. CoreWeave, a data center operator, has seen its stock more than double this year and has secured huge partnerships with OpenAI, Meta, and Nvidia. However, CoreWeave has no profits and billions in debt, and its revenue mostly comes from a few key customers like Microsoft and Nvidia. Nvidia, the world's most valuable company, is at the center of these complex deals. AI companies need Nvidia's expensive chips but often lack cash, leading to arrangements where they give Nvidia a share of future profits. Tech giants are also making massive data center investments and borrowing heavily. These interconnected deals represent a huge gamble on AI's future success, and if the AI revolution does not meet expectations, the economic consequences could be severe.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

SK Hynix AI memory chips US stock market High-bandwidth memory (HBM) Artificial Intelligence (AI) Generative AI Investment AI stocks Oracle Broadcom Earnings reports Semiconductors Cloud computing Google OpenAI Marvell Technology AI chip market Data centers Custom AI chips Photonic fabric interconnect Palantir Nvidia Competition Valuation Aecom Consulting services Western Digital Data storage Meta Closed AI models Open-source AI CoreWeave Financial markets Economic impact Machine learning Natural language processing (NLP) Computer vision Robotics Acquisitions Partnerships Debt financing Market growth AI development AMD Alphabet Alibaba Gemini Llama 4 Qwen Avocado

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