Here’s Why The U.S. Still Has An Edge Over China In The Great AI Buildout Race

It’s been a challenging period for US AI leaders, with stocks facing a period of extreme investor scrutiny over capital expenditures and new rivals from China emerging to provide additional competition at lower adoption costs. But Wall Street’s artificial intelligence innovators still have plenty of advantages as AI buildouts gather momentum. 

The recent news that Google (GOOGL) is months behind in its launch schedule for its new flagship AI model, Gemini 3.5, came at a similar time to the debut of Chinese startup Moonshot’s Kimi K3, which is a free-to-use and open-weight large-language model (LLM), making it far more accessible than the premium products that dominate the US market like OpenAI’s ChatGPT and Anthropic’s Claude. 

Kimi K3 can be downloaded by anyone and run on their own computers because its core components are released to the public.

Open-source and open-weight models have been one of China’s best-selling points, alongside a lower cost to adopt the technology for businesses. 

The cost-effectiveness of China’s AI buildout has won over US businesses, with Airbnb (ABNB) CEO Brian Chesky suggesting that ChatGPT was ‘not quite ready’ for his firm’s needs, instead opting for Alibaba’s Qwen model, which he described as fast and cheap. 

China has long posed a threat to US artificial intelligence dominance, and in early 2025, the launch of China’s AI-powered chatbot, DeepSeek, was enough to see Nvidia (NVDA) experience the largest single-day market value loss in US stock market history, with around $600 billion wiped from the company. 

However, Nvidia has since grown to more than double its value from last year’s lows, underlining the strength of the US position in the race against China for market dominance. But can its advantage last? The available evidence indicates that the United States is in a strong position to carry on strengthening its position in the years to come: 

Decisive Role of Regulators

Stephen Moore, Wall Street Journal authority and founder of Unleash Prosperity, has claimed that the United States is currently home to 13 of the 16 most advanced AI applications in the world, with China representing more of a second-tier option for adopters of artificial intelligence models. 

Although China has the ability to deliver lower-cost models, strict restrictions on exports in the US appear to be helping to maintain a technical superiority that could be extremely difficult for other nations to overcome. 

Washington has long held a strong network of export controls designed to prevent China from accessing advanced electronics. 

Since the Cold War era, the US has sought to limit access to its leading electrical hardware for Soviet-allied countries, and this regulatory framework was levelled up further in 2022 as the AI boom was beginning to heat up. 

One example of this regulatory framework in action can be found in Taiwan Semiconductor Manufacturing Corporation (TSM), which is committed to working with the United States despite its proximity to China due to the ‘foreign direct product rule,’ which stipulates that foreign countries must align with US rules if the goods they’re exporting contain US parts or are derived from US technology. 

Leading in Talent

In 2024, BCG determined that the United States was the clear leader in the AI race, with China quickly gaining ground. Two years on, the same analysis of the six key enablers of AI supply in capital, talent, intellectual property (IP), data, energy, and compute suggests that the US has maintained its lead, with its strength in talent and capital deployment shining through. 

To work out the talent strengths of both AI superpowers, BCG looked to the share of the top 2,000 AI researchers worldwide, based on institution-affiliation of leading AI publications, as well as the share of the top 300 AI institutions and the scale of the talent pool for nations based on AI-related job titles. 

The United States also benefits from a greater level of international talent acquisition opportunities and stronger global mobility, due to the European Union’s status as an emerging player in artificial intelligence infrastructure buildouts. 

This can help more US firms to tap into new talent to support their higher capital expenditures as a means of supporting further AI buildouts. 

Opportunities on Wall Street

So, what could these signs of strength mean for investors looking to continue seeking out opportunities amid the AI boom? 

With the ongoing stagnant growth on show among Wall Street’s Magnificent Seven collective of AI adopters and hyperscalers, we could see a more definitive market advantage for US firms support a reversion to a positive turnaround in fortunes. 

With Q2 earnings season underway on Wall Street, investors will be looking for more tangible signs of growth, and positive adoption rates of high-quality AI models could be a strong indicator of market strength as China remains focused on lower-cost alternatives. 

High capex in the US may still be a concern for investors, but in an AI race that the United States appears well-positioned to dominate from a qualitative point of view, the firms at the forefront of innovation should be well-positioned to justify their high valuations looking to the future.