CONCEPT
Schumpeterian Growth Theory
The formalization of Schumpeter's intuitive framework into rigorous mathematical models of how creative destruction drives long-run economic growth — developed by Philippe Aghion and Peter Howitt and recognized with the 2025 Nobel Prize in Economics.
Schumpeterian growth theory, developed principally by Philippe Aghion and Peter Howitt beginning in 1992, provides the mathematical architecture that Schumpeter's intuitive framework lacked. The theory models long-run growth as driven by a sequence of innovations, each of which destroys existing structures (monopoly rents from the previous innovation) while creating new ones. Growth is not smooth but episodic; it is not evenly distributed but concentrated at the frontier; it is not guaranteed but dependent on institutions that govern competition, intellectual property, education, and redistribution. The 2025 Nobel Prize recognized the framework's indispensability for understanding the AI transition, and the timing was not coincidental.
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The theory emerged as part of the endogenous growth revolution of the 1980s and 1990s. Previous growth models (notably Robert Solow's) treated technological progress as exogenous — a given rate of improvement that explained growth without explaining itself. Paul Romer, Aghion, Howitt, and others made technological progress the result