For decades, China’s economic development followed a predictable, linear path: capital and high-end manufacturing flowed from the wealthy eastern coast to the resource-rich but underdeveloped west. However, as the 2026 East-West Collaborative Innovation Development Conference recently highlighted in Chengdu, the advent of artificial intelligence is fundamentally disrupting this traditional hierarchy. Shen Fumin, co-founder of Koalaer and a professor at the University of Electronic Science and Technology of China, argues that AI is not a regional polarizer but rather a 'digital glue' capable of fusing the disparate strengths of China’s inland and coastal regions.
The historical model of regional cooperation—characterized by labor migration and simple industrial transfers—is being replaced by a sophisticated framework of 'dual-directional empowerment.' While first-tier cities like Shanghai maintain a commanding lead in fundamental R&D, chip design, and venture capital, they often lack the diverse industrial 'proving grounds' found in the West. Chengdu and the broader Sichuan-Chongqing corridor offer fertile soil for AI applications, ranging from aerospace and rail transit to traditional Chinese medicine and heavy machinery, providing the vital data and scenarios necessary for fine-tuning vertical industry models.
Critically, the development of AI is non-linear, providing what Shen describes as 'leapfrog' opportunities for inland laggards. The recent surge of disruptive innovations, such as the DeepSeek model, demonstrates that breakthroughs can emerge outside of established tech hubs, creating a sense of urgency in the East and opportunity in the West. By leveraging the 'East Data, West Computing' national strategy, western provinces can utilize their abundant green energy and computing power to process the sophisticated algorithms designed in eastern research laboratories.
To operationalize this synergy, the focus is shifting toward 'Shanghai Research, Sichuan Manufacturing' (沪研川造) and its reciprocal, 'Sichuan Research, Shanghai Application.' This model envisions a domestic ecosystem where top-tier models are tested against complex industrial scenarios in the interior, then exported back to coastal manufacturing clusters. This reciprocal flow is designed to maximize 'AI as a new quality productive force' while mitigating the risk of a deepening digital divide that could otherwise see inland regions left behind in the race for computational supremacy.