China rules robotics, USA reigns in the LLMs: the new order of artificial intelligence
LGT strategist Private Banking claims that China leads in physical AI (robotics and hardware), while the US dominates large language models.

China is leading the development of physical artificial intelligence, such as robotics and hardware, while the United States dominates the area of large language models (LLMs). The evaluation is from an LGT Private Banking APAC strategist, who points out that companies are combining cheaper Chinese models with advanced American solutions to gain competitive advantage in the global AI market.
What areas of artificial intelligence do China and USA dominate?
China has invested heavily in robotics and hardware, sectors where production in scale and vertical integration are competitive advantages. The US, with its startup ecosystem and technology giants, focuses on LLMs, which require large volumes of data and computational power. This division reflects the strategic priorities of each nation and creates a scenario of complementarity.
According to the strategist, this duality is not only theoretical: companies are actively mixing suppliers to maximize efficiency. The trend is aligned with reports that American companies are exchanging U.S. A. for cheaper Chinese models, reinforcing the strategy of combining the best of each country.
Why does the new AI order matter to Brazilian developers?
For developers in Brazil, this dynamic opens up opportunities to integrate the best of both worlds: use American LLMs for complex NLP tasks and adopt Chinese hardware for robotic applications. With the cost reduction of Chinese models, it is more accessible to develop hybrid solutions that meet both the service sector and the industrial sector.
In addition, the competition between the two powers can push prices down and accelerate innovation, benefiting Brazilian startups that need advanced technologies without taking on prohibitive costs.
How do companies combine robotics and LLMs to innovate in AI?
Companies have adopted a "mix and match" strategy: they use American LLMs for text generation, data analysis and customer service, while using Chinese robots and sensors for physical automation in factories and logistics. This allows you to reduce operating costs and accelerate innovation by creating products that unite software intelligence with hardware capacity.
Will the future of artificial intelligence be multipolar?
The divided leadership suggests that the AI market will not be monopolized by a single country. Competition between China and the US can benefit consumers and businesses, with more options and lower prices. However, it also raises questions about security, technological dependence and trade war, which require attention from governments and regulators.
Frequently asked questions about leadership in AI between China and the USA
What is the main difference between physical AI and LLMs?
Physical AI involves robotics and hardware that interact with the real world, while LLMs are language models that process and generate text, such as chatbots and virtual assistants.How can Brazilian companies take advantage of this division?
Brazilian companies can adopt American LLMs for customer service applications, feelings analysis and content generation, and integrate Chinese hardware for industrial automation, robotics and IoT.Is this divided leadership sustainable in the long term?
Yes, it is likely that both areas will continue to develop in parallel, with the possibility of future convergence as technology advances and companies seek integrated solutions.--- Source: CNBC - China has the lead in physical AI while the US leads in LLMs, say strategist
Source: www.cnbc.com

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Lucas MontarroiosSou Lucas Montarroios e dediquei os últimos 15 anos à linha de frente de operações de telecom e data centers. Minha carreira sempre foi pautada por um foco implacável: transformar tecnologia e cenários críticos em oportunidades reais de negócio. No novidades.ia.br, trago essa visão executiva para o universo da IA. Especialista em produtos, mercado e ferramentas práticas de IA. Minha missão aqui é filtrar o ruído do mercado, analisando benchmarks, estratégias de grandes empresas e ferramentas práticas.


