Emad Mostaque proposes that the math behind generative AI can describe economic systems. In this framework, Adam Smith's theories map to "gradient flows" (scarcity), Marx's to "circular flows" (compounding intelligence), and Hayek's to "harmonic flows" (structural rules).

Economic theory is built on the flawed premise of a rational, economically-motivated individual. Financial historian Russell Napier argues this ignores psychology, sociology, and politics, making financial history a better guide for investors. The theory's mathematical edifice crumbles without this core assumption.

Work by Kahneman and Tversky shows how human psychology deviates from rational choice theory. However, the deeper issue isn't our failure to adhere to the model, but that the model itself is a terrible guide for making meaningful decisions. The goal should not be to become a better calculator.

Nobel laureate Robert Solow critiques modern macroeconomic models (DSGE) for being overly abstract and failing to represent an economy with diverse actors and conflicting interests. By modeling a single representative agent, he argues, the field has detached itself from solving real-world economic problems.

Post-WWII, economists pursued mathematical rigor by modeling human behavior as perfectly rational (i.e., 'maximizing'). This was a convenient simplification for building models, not an accurate depiction of how people actually make decisions, which are often messy and imperfect.

Traditional economics often repels people with complex math. Economist Kate Raworth intentionally used the simple, non-threatening metaphor of a "donut" for her alternative economic model. This disarmed common fears around the subject and encouraged broader, more accessible engagement.

Contrary to popular belief, economists don't assume perfect rationality because they think people are flawless calculators. It's a simplifying assumption that makes models mathematically tractable. The goal is often to establish a theoretical benchmark, not to accurately describe psychological reality.

Milton Friedman's 'as if' defense of rational models—that people act 'as if' they are experts—is flawed. Predicting the behavior of an average golfer by modeling Tiger Woods is bound to fail. Models must account for the behavior of regular people, not just theoretical, hyper-rational experts.

According to economist Robert Solow, the issue with metrics like GDP isn't mismeasurement, but a deliberate choice to exclude factors like natural resource depletion. The system is flawed because we have decided not to measure certain things, which creates a distorted view of economic health.