AI DeepSeek Shakes Up Stocks as Traders Fear for US Tech Leadership

Posted: Jan 27, 2025

  • DeepSeek, a Chinese AI startup, released a cost-effective AI model that raised questions about US tech dominance, influencing global technology stocks.
  • Buzz around DeepSeek's product cast doubt on high valuations of companies like Nvidia Corp.
  • DeepSeek's transparency and efficient model challenged the AI supply chain and traditional assumptions about computing power and energy requirements for advanced AI.
  • Shares in the AI supply chain, including Nvidia's supplier Advantest Corp., fell while Chinese AI-related stocks, like Merit Interactive Co., soared.
  • Release of DeepSeek's product raises geopolitical risks and valuation concerns for US tech stocks ahead of major earnings reports.
  • Competition in the AI space is intensifying, with DeepSeek challenging the notion that China's AI technology is lagging behind the US.


What do people on Reddit think?

🚨 Reddit sentiment: mixed/negative - While there is recognition of potential opportunities and benefits for certain companies like Nvidia in the long run, there are significant concerns about reduced reliance on large tech firms and potential negative impacts on their markets, leading to an overall mixed but predominantly negative sentiment. Summarized comments: - DeepSeek's open-source release allows companies to access AI technology comparable to products like ChatGPT more cheaply without investing heavily. - Concerns exist about Nvidia's market as DeepSeek potentially reduces the need for high-end GPUs, but Nvidia may still benefit as the technology evolves towards serving models at scale. - There's criticism that people are underestimating DeepSeek's impact, which could shake up the AI landscape by reducing reliance on major AI companies like OpenAI and Google. - The market might be overreacting or misunderstanding DeepSeek's impact on AI stocks, as some see opportunity while others view it as a disruption. - DeepSeek's achievements allow AI models to be trained on lower precision hardware, potentially decreasing Big Tech's inflated valuations. - Companies like Google might adapt by integrating these new methodologies into their products quickly. Stock tickers discussed: $NVDA, $GOOG



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