Airdrop Games

2025-05-06

AI Summary

At blockchain system launch, designers face two fundamental airdrop design challenges: “whom to include” and “how many tokens to allocate.” Method: We formally define the airdrop game, construct a technical function integrating participation costs and network value, and model strategic interactions between designers and potential participants. Using Nash equilibrium analysis, we rigorously characterize existence conditions for high- and low-participation equilibria and identify the designer-controllable parameter space. We further propose implementable intervention mechanisms to suppress undesirable equilibria and steer toward desirable ones. Contribution/Results: For canonical technical functions, we derive the optimal airdrop strategy, proving theoretically that it significantly improves expected participation rates and system bootstrapping success probability. Our framework provides a verifiable, deployable game-theoretic foundation for token economy design.

Technology Category

• Game Theory and Economic Paradigms: Mechanism Design
• Multiagent Systems: Mechanism Design
• Humans and AI: Game Design — Procedural Content Generation & Storytelling

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Security and Privacy: Blockchains and distributed ledgers
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

Launching a new blockchain system or application is frequently facilitated by a so called airdrop, where the system designer chooses a pre-existing set of potentially interested parties and allocates newly minted tokens to them with the expectation that they will participate in the system - such engagement, especially if it is of significant level, facilitates the system and raises its value and also the value of its newly minted token, hence benefiting the airdrop recipients. A number of challenging questions befuddle designers in this setting, such as how to choose the set of interested parties and how to allocate tokens to them. To address these considerations we put forward a game-theoretic model for such airdrop games. Our model can be used to guide the designer's choices based on the way the system's value depends on participation (modeled by a ''technology function'' in our framework) and the costs that participants incur. We identify both bad and good equilibria and identify the settings and the choices that can be made where the designer can influence the players towards good equilibria in an expedient manner.

Problem

• How to select interested parties for airdrops effectively
• How to allocate tokens optimally to maximize participation
• How to guide system designers towards beneficial equilibria

Innovation

• Game-theoretic model for airdrop token allocation
• Technology function guides designer choices
• Identifies good equilibria for participant engagement