Economics of AI: Growth, Labor, and Technological Change

Artificial intelligence is fundamentally reshaping the global economy, yet understanding its true impact requires looking beyond the hype. This course provides a structured economic framework to analyze how AI alters production, wages, and long-term economic growth. You will transition from observing technological trends to modeling them, gaining the analytical tools to evaluate how automation and task augmentation affect various industries. By studying the intersection of information theory and economic theory, you will understand the core mechanisms driving modern productivity shifts. What you'll learn: - Understand the foundational relationship between information theory, intelligence, and economic production. - Analyze how AI shifts the balance between labor automation and task augmentation. - Model technological change and its direct impact on wage inequality and labor markets. - Evaluate macroeconomic growth scenarios, including the potential for rapid growth acceleration and singularity models. - Examine the modern economic implications of generative AI on knowledge work and cognitive tasks. - Assess policy frameworks and institutional responses to algorithmic decision-making and market concentration. The course begins with core definitions of intelligence and information before moving into microeconomic models of production and labor. You will then progress to macroeconomic growth theories, exploring how AI-driven innovation could reshape our global economic future. Designed for beginners, this course requires no advanced background in economics or programming, making it ideal for anyone curious about the financial and societal future of technology. Start reading today to build a rigorous, analytical perspective on the future of work and wealth in the age of intelligence.