The network map of proximity between products based on shared productive requirements — Hidalgo's topology of what countries can and cannot easily learn to make next.
The product space is a network visualization in which each node represents a product and each edge represents the probability that a country producing one product also produces the other. Products requiring similar productive knowledge cluster together; products requiring different knowledge sit far apart. Ball bearings cluster near automotive parts because both require metallurgical precision. Basic textiles sit far from semiconductors because the productive knowledge required is entirely different. The map reveals the constrained paths by which countries can develop — moving from products they currently make to nearby products sharing similar requirements, unable to leap across gaps in knowledge they have not yet accumulated.
The Product Space
In The You On AI Field Guide
The product space is the empirical instrument through which Hidalgo and collaborators operationalized the insight that development is path-dependent. A country's future productive possibilities are not equally open; they are constrained by proximity to its current productive position. This has enormous implications for development strategy. Leapfrogging is mathematically possible but empirically rare. Most successful