Elon Musk and Strategy: Perspectives from Decision Theory and Behavioral Economics

Key Chapter Title List

1. Introduction
2. Core Elements of Information Economics
3. The Small World Within a Grand World
4. The 2 Trillion Dollar Reference Point Game
5. Signaling Models: Uninformed Move First vs. Informed Move First
6. Entrepreneurs, Uncertainty, and Creative Destruction
7. Conclusion and Implications

Document Introduction

In November 2024, one week after Donald Trump was elected President of the United States, the incoming administration announced the establishment of the Department of Government Efficiency (DOGE), led by Elon Musk and Vivek Ramaswamy (who later withdrew to focus on the Ohio gubernatorial race). The department publicly recruited high-IQ, small-government revolutionaries via social media platforms, seeking individuals willing to work over 80 hours per week on non-glamorous cost-cutting tasks without monetary compensation. This initiative sparked in-depth discussions on strategic decision-making.

This study uses DOGE as a core case, integrating multidisciplinary perspectives from game theory, information economics, decision theory, and behavioral economics to analyze its organizational objectives and practical challenges. From an information economics perspective, DOGE attempts to alter the form of government organization to align with either established governmental goals or commercial efficiency standards. This involves key decision-theoretic elements such as utility, information costs, information structure, decision costs, and organizational form. The core challenge lies in adjusting the existing government organizational structure to fit a new optimization perspective.

The research incorporates Savage's small world theory and the Austrian school's view on uncertainty, pointing out that decision-makers are constrained by resources and cognition, operating only within a "small world" (a partial problem space). The government bureaucracy may confine DOGE to a small world it constructs by controlling information flow, thereby hindering the advancement of cost-cutting measures. Simultaneously, based on Kahneman and Tversky's prospect theory, the 2 trillion dollar savings target set by DOGE becomes a key reference point. Its decision-making behavior is influenced by loss aversion, risk preference shifts, and probability weighting distortions. Failure to meet this target could lead to a tendency towards risk-seeking behavior.

By analyzing two signaling models (uninformed move first and informed move first), this study explores the interactive dynamics between DOGE and the bureaucracy, highlighting a game-theoretic relationship where both parties seek to limit the other's gains while avoiding falling into a domain of losses. Furthermore, positioning DOGE decision-makers as Schumpeterian entrepreneurs emphasizes their characteristics of embracing uncertainty and driving creative destruction, which stands in stark contrast to the conservatism of the bureaucratic system. This entrepreneurial trait introduces new possibilities for breaking the deadlock of government waste.

This study provides a unique theoretical framework and empirical reference for understanding organizational interactions, decision-making psychology, and strategic games within government reform. It holds significant academic value and practical implications for policy analysts, public administration scholars, and geopolitical researchers.