Physicist and network scientist Cesar Hidalgo argues that economic growth should be understood as the growth of information and knowledge rather than merely the accumulation of capital. Drawing on insights from physics, information theory, and complexity science, he shows how economies function as distributed computing systems that process and store information in products, firms, and networks of people. Hidalgo examines why some countries are rich and others poor, arguing that the key variable is the complexity of the knowledge networks their populations can sustain. Simple products can be made anywhere, but complex products require dense networks of specialized knowledge that exist in only a few places. The book explains why knowledge tends to cluster geographically, why it is so difficult to transfer across borders, and why policies that ignore these dynamics often fail. Hidalgo directs the Center for Collective Learning and brings both academic rigor and clear prose to difficult concepts. His framework has implications for development policy, suggesting that building knowledge networks matters more than simply attracting investment. For readers interested in economic development, complexity science, or why globalization has not led to convergence in prosperity, this work offers a fresh theoretical framework grounded in how information actually flows through human systems.