This 2023 report, produced by the AI Strategies Team at George Mason University and the Stimson Center, analyzes the national AI policies of 54 countries. It identifies clusters of nations with similar priorities and strategies and describes the "AI Wardrobe" of policy elements common to national AI plans. The researchers use Latent Dirichlet Allocation (LDA) and Ensemble LDA (eLDA) to analyze 213 documents, including national and internal policies. Their findings show the global landscape of AI policy priorities, revealing the emphasis on workforce development, data governance, and economic growth in various national AI plans. The report concludes by identifying three key takeaways: common elements among national AI plans, the importance of policy depth and regulatory capabilities, and the need for a comparative approach to understanding AI development and deployment in different national contexts.