China’s artificial intelligence sector, though rapidly growing, is falling short of driving economic growth comparable to the US, as the country grapples with a persistent property downturn and semiconductor supply restrictions.
- China’s AI investment strong but less impactful than US
- Chip supply constraints limit China’s AI scale-up
- Economic divide worsens due to concentrated AI benefits
What happened
China is investing over one trillion yuan (approximately $148 billion) annually in artificial intelligence, signaling strong government and corporate commitment to the technology. However, this investment accounts for only about one-third of the AI share in China’s economy compared to the US. The combination of slower property sector recovery and less developed capital markets means AI has not emerged as a major driver of economic growth in China.
Additionally, China faces significant obstacles in accessing high-end semiconductor chips essential for AI development, due to export restrictions by key suppliers in South Korea, Taiwan, and other countries. While China remains a major exporter of legacy chips, it imports much larger volumes of advanced processing and memory chips at rising costs, limiting its ability to scale AI innovation swiftly and broadly.
Why it matters
The gap between China and the US in leveraging AI highlights a growing divergence in global technology leadership and economic impact. The US benefits from well-developed capital markets and strong industrial partnerships with select Asian economies, enabling large scale AI investments and innovation. In contrast, China’s bottlenecks in semiconductor access hinder its ability to replicate this model, affecting competitiveness in AI-driven growth.
Moreover, AI’s benefits in China are concentrated mainly in top-tier cities like Beijing, Shanghai, and Hangzhou, increasing economic disparities across regions. Unlike broad economic boosts seen from previous growth engines such as the property and new energy sectors, AI development may exacerbate inequalities, displacing low-end jobs in smaller cities with fewer compensating opportunities, thereby complicating efforts to sustain balanced economic recovery.
What to watch next
Key economic indicators to follow include China’s quarterly GDP growth figures and property market health, as the World Bank recently downgraded China’s growth forecast to 4.2% for the year. The pace of AI infrastructure development, capital market reforms, and semiconductor procurement strategies will also be critical to monitor as they influence the sector’s potential to contribute more significantly to the economy.
On the geopolitical front, ongoing tensions affecting chip supply chains and industrial cooperation between the US, China, and East Asian economies will shape China’s AI trajectory. Efforts to mitigate regional economic disparities by expanding AI opportunities beyond first-tier cities could determine how broadly AI benefits translate into sustained economic momentum amid broader structural challenges.