This project establishes AI Economics as a structured analytical framework to study how artificial intelligence impacts productivity, labor markets, innovation, investment flows, and national competitiveness. The aim of this initiative is to formally develop AI Economics as a recognized subfield within established economic disciplines by grounding it in rigorous theoretical foundations, empirical methods, and peer-reviewed research. The project will frame AI Economics as an applied extension of industrial organization, labor economics, development economics, and innovation economics, analyzing how artificial intelligence affects productivity, capital allocation, market structure, employment dynamics, and long-term economic growth. Through quantitative modeling, policy analysis, and comparative institutional study, the project seeks to demonstrate that AI Economics is not a standalone ideology, but a structured analytical framework for understanding AI-driven economic transformation in national and global contexts.
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Raphael Louis
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Analyzing shared references across papers
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Raphael Louis (Thu,) studied this question.
www.synapsesocial.com/papers/69b5ff4f83145bc643d1ba2a — DOI: https://doi.org/10.17605/osf.io/8d2wh