Jialing Zou

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About

Jialing Zou is a rising scholar at the intersection of artificial intelligence, international trade, and environmental economics. Their most-cited work, “Artificial intelligence and global embodied carbon flow: Evidence from the application of industrial robots” (2025, 4 citations), marks a significant early contribution to understanding how automation reshapes the carbon footprint of global supply chains. By linking the deployment of industrial robots to shifts in embodied carbon flows, Zou provides novel empirical evidence that AI-driven production not only boosts efficiency but also alters the geographical distribution of emissions—a critical insight for climate policy in a digitalizing world. Though early in their career, Zou’s research already bridges two of the most pressing contemporary debates: the economic impact of automation and the urgent need for decarbonization. Their work offers a data-driven lens for policymakers and scholars seeking to reconcile technological progress with environmental sustainability. As AI continues to transform manufacturing and trade, Zou’s findings serve as a foundational reference for understanding the hidden environmental costs of smart factories and robot-driven supply chains.