AMRO：劳动力市场对人工智能的暴露：从通用人工智能到未来通用人工智能（英文版）

This paper adopts and extends a task-based framework leveraging Large Language Models (LLM) to assess occupational exposure to Generative Artificial Intelligence (GenAI). It reveals cross-country variation by income level, with higher-income economies experiencing greater task-level exposure. At present, the potential for GenAI to augment human work outweighs its automation risks, though this balance may shift with the advent of more advanced AI systems and their integration with other emergi