世界银行-超越人工智能鸿沟：一种识别全球和本地人工智能准备中表现优异者的简单方法（英）

Policy Research Working Paper11073Beyond the AI DivideA Simple Approach to Identifying Global and Local Overperformers in AI PreparednessPierre Mandon Economic Policy Global Department February 2025 Public Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedProduced by the Research Support TeamAbstractThe Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.Policy Research Working Paper 11073This paper examines global disparities in artificial intelli-gence preparedness, using the 2023 Artificial Intelligence Preparedness Index developed by the International Mon-etary Fund alongside the multidimensional Economic Complexity Index. The proposed methodology identi-fies both global and local overperformers by comparing actual artificial intelligence readiness scores to predictions based on economic complexity, offering a comprehensive assessment of national artificial intelligence capabilities. The findings highlight the varying significance of regula-tion and ethics frameworks, digital infrastructure, as well as human capital and labor market development in driv-ing artificial intelligence overperformance across different income levels. Through case studies, including Singapore, Northern Europe, Malaysia, Kazakhstan, Ghana, Rwanda, and emerging demographic giants like China and India, the analysis illustrates how even resource-constrained nations can achieve substantial artificial intelligence advancements through strategic investments and coherent policies. The study underscores the need for offering actionable insights to foster peer learning and knowledge-sharing among coun-tries. It concludes with recommendations for improving artificial intelligence preparedness metrics and calls for future research to incorporate cognitive and cultural dimen-sions into readiness frameworks.This paper is a product of the Economic Policy Global Department. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The author may be contacted at pmandon@worldbank.org. Beyond the AI Divide: A Simple Approach to Identifying Global and Local Overperformers in AI Preparedness Pierre Mandon (World Bank G