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DeepSeek and Qwen Gain Global Ground: What This Means for U.S. AI Leaders Like GOOG, MSFT, and NVDA

DeepSeek and Qwen Gain Global Ground: What This Means for U.S. AI Leaders Like GOOG, MSFT, and NVDA

Chinese AI companies are moving quickly to challenge American dominance, and global adoption trends show the gap may be narrowing. DeepSeek and Alibaba’s (BABA) Qwen3 are now being used by banks, universities, and corporations across Europe, the Middle East, Africa, and Asia.

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Saudi Aramco recently installed DeepSeek in its main data center. HSBC (HSBC) and Standard Chartered (SCBFF) are testing it internally. Even major U.S. cloud providers, including Amazon Web Services (AMZN), Microsoft (MSFT), and Alphabet’s Google (GOOG), now offer DeepSeek through their platforms, despite federal restrictions on its use by government agencies.

What’s Behind the Current Shift

What is drawing global attention are the cost and performance. DeepSeek is reportedly about 17 times cheaper than OpenAI’s ChatGPT, while delivering comparable quality for many tasks. That price difference is significant for institutions in markets where AI adoption is limited by budget and computing power. For companies offering enterprise-level AI, this adds pricing pressure.

While OpenAI’s ChatGPT has over 910 million global downloads, DeepSeek’s 125 million are no small number. The model is already tied for #3 in Chatbot Arena’s benchmark rankings, behind only Google’s Gemini 2.5 Pro and OpenAI’s ChatGPT 4o, and ahead of some well-known U.S. players. Alibaba’s Qwen is further along in open-source adoption, with over 100,000 derivative models built by developers worldwide.

Chinese AI challengers DeepSeek and Qwen are gaining traction globally as low-cost, high-performance alternatives to U.S. models.

The White House has restricted China’s access to advanced chips and software, but Beijing is responding by building a domestic AI supply chain. U.S. lawmakers are also pushing to block federal use of Chinese-developed AI. At the same time, Chinese models are being adopted in emerging markets that are key to long-term global growth.

China Closes the Gap

This competition has consequences. A recent forecast from Jefferies (JEF) estimated Nvidia (NVDA) could lose $10 billion in revenue due to export restrictions on its H20 chip. If Chinese models continue gaining traction, U.S. AI firms like Meta (META), Google, and OpenAI could see their future market share and revenue growth affected.

The U.S. still leads in AI research, hardware, and funding. But adoption momentum is shifting. Chinese AI companies are focused on practical deployment, customization, and open-source access. Those qualities are appealing to developers and businesses looking for flexible, affordable options.

For investors, the key question is not who has the most advanced AI, but whose model wins more users worldwide. That will shape long-term revenue streams, pricing power, and influence over the next stage of AI development.

Using TipRanks’ Comparison Tool, we’ve compared the AI companies appearing in the article. This enables investors to gain a broader perspective on each stock and the industry as a whole.

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