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The Deep Seek AI Panic

Writer: Tharindu AmeresekereTharindu Ameresekere

Updated: Feb 5


January 27, 2025, may be remembered as the day Deep Seek disrupted the global tech industry, triggering a historic market shake-up. Nvidia, the AI chip giant, saw a staggering $600 billion wiped from its market value in mere hours—marking the largest single-day loss in stock market history. Other U.S. chip makers also took a hit, dragging down the S&P 500 and the NASDAQ 100 before a partial recovery later in the week.


The cause? Deep Seek AI, an advanced Chinese AI model that has outperformed leading Western counterparts at a fraction of the cost. The startup’s technology calls into question the necessity of the expensive AI infrastructure built by tech giants, raising concerns over an AI bubble.


Deep Seek, a Chinese AI startup founded in 2023, debuted its R1 model in late 2024. By January, the model became publicly available via an app and quickly surpassed OpenAI’s ChatGPT in popularity. Its capabilities include generating text, solving complex math problems, and writing code—while offering transparent reasoning behind its responses. OpenAI released the “reasoning” feature on Chatgtp shortly after Deep Seek’s emergence which shows how western companies are already scrambling to match the competition.


Source: Artificial Analysis AI


Despite being open-source, the model aligns with Chinese government censorship policies, sidestepping politically sensitive topics. However, it is already being used uncensored on platforms like U.S. startup Perplexity.


Investors were rattled by reports that Deep Seek trained its model with just $6 million—a stark contrast to the billions spent by Western firms like OpenAI, Google, and Anthropic. Nvidia and other AI chip manufacturers, which heavily profit from AI data centers, faced uncertainty. If AI can be developed more efficiently and affordably, the demand for high-powered chips and energy-hungry data centers could decline significantly.


The U.S. has restricted China's access to cutting-edge AI chips, expecting this to slow innovation. However, Deep Seek found a way to train its model using older Nvidia chips. This mirrors past breakthroughs, such as Huawei’s unexpected development of advanced smartphone chips despite sanctions.


Silicon Valley is now scrambling to understand Deep Seek’s methods. Microsoft has launched an internal investigation into the startup’s practices. Meanwhile, investors and AI experts are reassessing whether high-cost AI development is truly necessary.


Deep Seek’s rise challenges U.S. dominance in AI and serves as a wake-up call for the industry. While competition drives innovation, this disruption has left major tech firms questioning their long-term AI strategy.


 
 
 

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