The global AI infrastructure divide

This research paper examines the diffusion of artificial intelligence within low- and middle-income countries (LMICs), identifying it as a pivotal factor for future economic stability. The author proposes a framework centered on three primary pathways: global value chains, scientific research collaboration, and interfirm knowledge transfers. While a significant technological gap persists between developing and developed nations, the data suggests this chasm is gradually narrowing as adoption rates in LMICs accelerate. The study highlights a geopolitical distinction, noting that China serves as a major hub for trade-based diffusion, whereas the United States leads in research and direct knowledge sharing. Ultimately, the paper advocates for tailored bilateral agreements and global wealth redistribution to mitigate the risks of labor displacement and ensure equitable economic gains.