Abstract: Advances in artificial intelligence technology and its applications has triggered an intelligent revolution, driving the emergence and development of the intelligent economy which in turn brings challenges to traditional economic theories and modern economics. With such a context, the development of the intelligent economy necessitates the construction of an autonomous knowledge system based on AI economics. Within the context of the intelligent revolution, data, computing power, and algorithms are the core elements of AI economics. Its techno-economic characteristics reflect the deep learning capability, the possibility of cross-border integration, the human-machine collaborative work mode, the penetrative and synergistic effects on the economy, and the potential for innovation. Its research scope embraces the impacts of AI technology on economic activities, economic value, labor market, economic growth, social welfare etc. The research methods primarily include experimental studies, case analyses, and mathematical modeling. The theoretical framework spans five levels: AI and microeconomics, AI and mesoeconomics, AI and macroeconomics, governance of the AI economy, and the future of the AI economy and AI economics. The research topics cover multiple aspects such as the impact of AI on economic growth and development, market size prediction, industrial productivity enhancement, employment shifts, innovative financial models, economies of scale effects, the importance of venture capital, and the meta-task framework. AI economics finds applications in areas such as predictive and decision-making support, automation and labor substitution, personalized recommendations and pricing, financial markets and investments, and social welfare and public policy.

Key words: artificial intelligence, intelligent economy, artificial intelligence economics, autonomous knowledge system