China leads in AI talent, but most work in the US, says Forbes analysis
Forbes highlights that 38 per cent of elite AI researchers are educated in China, yet 72 per cent of them work in the US. This dynamic shifts the focus of the AI race from infrastructure to talent acquisition.
The global competition in artificial intelligence is increasingly being defined by the movement of talent rather than the development of advanced chips or models. Forbes, citing the latest Global AI Talent tracker by MacroPolo, reveals that China is the largest source of elite AI researchers, surpassing the United States in the education and training of top-tier talent. This insight reframes the narrative around AI leadership, emphasizing that the ability to attract and retain skilled researchers is central to maintaining a competitive edge in the field.
The report underscores a complex relationship between education and employment. While China produces a significant portion of the world’s elite AI researchers, a large majority of these individuals are currently working in the United States. This trend highlights the global nature of AI talent and the influence of US institutions in attracting and retaining top researchers, regardless of where they were trained.
According to the data, 38 per cent of the world’s elite AI researchers were educated in China, making it the largest origin point of top-tier AI talent. However, 72 per cent of these researchers are now working in the United States, a figure that has remained relatively stable since 2019. This shift suggests that while China may be the source of talent, the US remains the primary destination for elite AI professionals.
India’s AI market is witnessing a growing influence from this global talent movement. With regulators like TRAI playing a pivotal role in shaping AI policy, the country is increasingly positioned to benefit from the exchange of AI expertise. Indian institutions and companies are beginning to leverage this dynamic, as the global movement of talent creates opportunities for collaboration and innovation within the region.
This situation presents a complex challenge for policymakers and industry leaders. While China’s dominance in AI education is clear, the US’s ability to retain a majority of these researchers raises questions about the sustainability of this trend. As visa policies and international collaboration frameworks evolve, the balance of AI talent may shift once again, with potential implications for global innovation and economic competition.