Nvidia CEO Jensen Huang has issued a strong warning about the future of artificial intelligence. He said that if DeepSeek’s upcoming AI model runs entirely on Huawei chips, it could be a “horrible outcome” for the United States. His concern is that global AI systems may start shifting away from US technology, which could weaken America’s leadership in this space.

DeepSeek V4 Could Change the Game

The upcoming DeepSeek V4 model, expected later this month, is already creating buzz. Reports suggest it could run on Huawei’s Ascend chips, marking a major shift from the current reliance on Nvidia GPUs. However, some signs indicate it may still support Nvidia’s latest Blackwell architecture. If DeepSeek fully moves to Huawei hardware, it would be the first major AI model to break away from the US ecosystem.

China’s Different Approach to AI

Huawei’s chips are still considered slightly behind US alternatives in raw power. But China is focusing on a different strategy. Instead of relying on the most advanced chips, companies are using more chips together and improving software efficiency. Techniques like Mixture-of-Experts help boost performance without needing the best hardware.

Strength in Scale and Resources

China has key advantages that support this approach. It has a large pool of AI talent and access to cheaper energy. This allows companies to run massive computing setups. Even with weaker chips, using many processors at once can deliver strong results.

Rising Tensions and Policy Pressure

The situation is becoming more complex due to growing US–China tensions. Lawmakers in the US are pushing for stricter restrictions on Chinese AI firms. At the same time, some chip supply decisions suggest partial easing, showing mixed signals from policymakers.

This is no longer just about hardware power. The real battle is shifting toward software, efficiency, and ecosystem control. If DeepSeek succeeds with Huawei chips, it could mark a turning point in global AI, potentially reshaping who leads the industry in the coming years.

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Key Highlights:

• Jensen Huang warns that China is catching up fast in AI and could “win the race.”
  
• He criticizes U.S. restrictions and overregulation for slowing innovation.
  
• Huang clarifies he wants America to lead by accelerating, not isolating.

Huang’s Warning at the London AI Summit

Nvidia CEO Jensen Huang has warned that China is moving rapidly toward AI dominance and could “win the AI race” if the U.S. continues to slow its innovation through overregulation and export restrictions. Speaking at the Financial Times Future of AI Summit in London, Huang said China is “nanoseconds behind America” in AI progress, highlighting how quickly the global gap is closing.

Huang urged Western countries to speed up AI development rather than hold it back. “It’s vital that America wins by racing ahead and winning developers worldwide,” he later wrote on X (formerly Twitter).

China’s Rapid AI Growth

According to Huang, China’s government-backed energy subsidies and strong state support are helping local companies advance faster. Beijing’s investments in semiconductor manufacturing and AI research are creating an ecosystem that rivals the U.S. in both scale and ambition.

He noted that while China faces technological hurdles, its developer community and policy environment are highly motivated and unified under national goals for AI self-reliance.

U.S. Restrictions and Policy Concerns

The U.S. government recently reaffirmed its ban on Nvidia’s advanced Blackwell AI chips being sold to China, citing national security reasons. Huang criticized these restrictions, arguing they hurt U.S. competitiveness and inadvertently push China to accelerate its own chip development.

He also pointed to state-level AI regulations and high energy costs as factors slowing innovation in the U.S. “Cynicism and overregulation are making it harder for American companies to move fast,” he said.

Market Reaction and Clarification

After his remarks were reported, Nvidia’s stock briefly dipped, prompting Huang to clarify that he wasn’t predicting U.S. defeat. Instead, he emphasized that the U.S. must act faster to maintain its lead. Nvidia remains the world’s most valuable company, valued at around US$4.7 trillion, even after a recent dip from its US$5 trillion milestone.

Balancing Global AI Competition

Huang’s comments come amid rising U.S.–China tensions over technology and trade. While Washington focuses on limiting China’s access to cutting-edge AI hardware, Beijing is boosting domestic innovation.

Huang’s message was clear: the U.S. should lead through innovation and collaboration, not isolation. “We want America to win,” he said, “but winning means building faster, not building walls.”

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In a recent interview, NVIDIA CEO Jensen Huang shared his vision for the future, predicting that humanoid robots will soon become mainstream products, revolutionizing various industries.

Huang emphasized that manufacturing costs for humanoid robots will be surprisingly low, comparable to the price range of cheap cars. He proposed a price range of $10,000 to $20,000 for these robots, making them accessible to a wide range of consumers.

Drawing parallels with the automotive industry, Huang highlighted the potential flexibility and versatility of robots in certain man-made environments. He suggested that these robots could handle dangerous, repetitive, or tedious tasks, enhancing efficiency and safety in workplaces.

Supporting Huang’s vision, Tesla CEO Elon Musk has also indicated that the manufacturing cost of the humanoid robot Optimus is only half that of Tesla electric cars. Musk envisioned an initial pricing for Optimus between $25,000 and $30,000, with expected decreases over time.

In alignment with their vision, NVIDIA unveiled Project GR00T, a foundation model for humanoid robots, and introduced Jetson Thor, a powerful computer system designed specifically for these robots. Jetson Thor, based on the NVIDIA Thor system-on-a-chip (SoC), offers advanced performance, power efficiency, and compact size, further driving the advancement of humanoid robotics.

Additionally, NVIDIA’s partnerships with leading humanoid robot companies like 1X Technologies, Agility Robotics, and Boston Dynamics demonstrate a collaborative effort to develop comprehensive AI platforms for robotics.

NVIDIA’s updates to the Isaac platform further empower developers to create and deploy sophisticated robots in various environments. Tools like Isaac Lab for reinforcement learning and OSMO for compute orchestration enable the rapid development of robotic capabilities, while offerings like Isaac Manipulator and Isaac Perceptor provide pre-trained models and advanced functionalities for robotic arms and autonomous mobile robots.

Huang’s foresight, coupled with NVIDIA’s technological advancements, indicates a future where humanoid robots seamlessly integrate into our daily lives, transforming industries and enhancing human capabilities.

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