Yan Liu & He Wang
Introduction
Generative AI (GenAI) holds the potential to transform economies and societies. Taking traditional AI’s predictive power one step further, generative AI is capable of creating new content in all forms of media - text, code, images, audio, video, and more. Generative AI tools like ChatGPT, Co-Pilot, and Midjourney are expected to revolutionize how certain tasks are performed, leading to significant efficiency gains and new opportunities for innovation (Eloundou, Manning, Mishkin, and Rock 2023; Humlum and Vestergaard 2024). Since the debut of ChatGPT in November 2022, various types of generative AI tools have proliferated and many have amassed a huge user base within record time. The widespread use of generative AI offers the possibility to transform economic development, social structures, and global competitiveness. Despite extensive discussions about the applications and potentials of generative AI on societies (Korinek 2023; Chui, Hazan, Roberts, Singla, and Smaje 2023; Brynjolfsson, Li, and Raymond 2023; Jha, Qian, Weber, and Yang 2024; Kim, Muhn, and Nikolaev 2024), research on the scale of generative AI usage is rare. This paper seeks to unveil the real-time global scale of generative AI usage, including its demographic and country distribution, and to explore the barriers to and impacts of its adoption. As these technologies continue to evolve, understanding their adoption patterns, both in advanced and developing economies, becomes crucial for policymakers, businesses, and researchers.
To measure AI adoption globally, several organizations have been publishing AI indexes and reports, tracking trends in AI development, and focusing on assessing countries’ readiness for AI integration. Since 2017, Stanford University has been publishing the AI Index Report (Maslej, Fattorini, Perrault, et al. 2024) annually, providing a comprehensive overview of developments in AI research, investment, technology performance, education, and governance.
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