Why do most economic models consistently underestimate the speed of energy transition?



Our guest today, Doyne Farmer, believes he knows why.



Doyne is the director of the Complexity Economics program at the Oxford Martin School at Oxford University, the Chief Scientist at Macrocosm, a modeling shop specializing in complexity economics, and the author of the recent book Making Sense of Chaos—A Better Economics for a Better World.



In this conversation, Doyne argues that traditional equilibrium economics falls short at capturing the realities of a rapidly changing world. He explains how a new approach called complexity economics, using agent-based modeling, provides a more accurate picture of how economic actors actually behave that can give policymakers and investors better guidance for navigating an evolving economy. It also indicates that the energy transition and climate action are likely to develop much more quickly than current forecasts suggest.