While DeepSeek Shocked the Market, Has it Really Changed AI?

The launch of Chinese DeepSeek AI sent shockwaves through Silicon Valley earlier this year. Practically overnight, its flagship model, DeepSeek-R1, soared to the top of the U.S. App Store’s free downloads list. 

The company claimed its chatbot could rival ChatGPT, and even more surprisingly, that it had been built for a fraction of the typical development cost. 

The claims, paired with its instant popularity, triggered a historic sell-off in the U.S. stock market. Nvidia, a leading chipmaker, lost about $600 billion in value in a single day, the largest drop ever for an individual stock. Other AI-related companies also took a hit. 

DeepSeek’s launch challenged the perception that the U.S. was far ahead of China in AI development. Some compared the moment to the launch of the Soviet Sputnik satellite, which had spurred the space race decades earlier. 

Six months later, the buzz has died down. In San Francisco’s tech circles, DeepSeek is no longer the main topic of conversation, but it has not vanished. More importantly, it reshaped some long-standing beliefs about AI development. DeepSeek proved that efficient engineering could produce competitive AI without the most advanced infrastructure. 

Its rapid rise caught corporate IT teams off guard. By the next workweek, many companies were banning it over fears that user data might be shared with Chinese servers. Still, a number of Americans continue to use the app, and some start-ups have adopted it as a cheaper alternative to U.S.-based AI tools. Many do so cautiously, running it locally to avoid sending data to servers in China. 

The app’s debut also shifted the tone of the China-U.S. AI rivalry. Some analysts noted that China had been viewed as lagging behind in large language models until DeepSeek arrived. The company claimed it had developed a top-tier model for just $5.6 million, compared with OpenAI’s $5 billion spend in 2024 alone. 

The U.S. government remains cautious. Officials have investigated DeepSeek’s ties to Beijing, with some warning it may aid Chinese military or intelligence work. The firm’s privacy policy confirms that user data can be stored on servers in China. 

OpenAI recently released its first open and free AI models in five years. Analysts say DeepSeek’s example influenced this shift toward smaller, faster, and cheaper systems. However, major American players still invest heavily in bigger models and massive computing power. Nvidia’s stock has since rebounded to record highs, suggesting the industry’s old approach remains dominant. 

Meanwhile, DeepSeek is facing delays with its next version, partly due to shortages of advanced chips, and competition from both U.S. and Chinese rivals remains fierce. 

The AI race between the U.S. and Chinese firms remains fierce at various levels, and American-based firms like Thumzup Media Corp. (NASDAQ: TZUP) are pressing ahead with their efforts to bring AI closer to more businesses. These efforts, in a way, play a part in this competition for dominance. 

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