The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents

2026-01-16

AI Summary

The rapid proliferation of AI agent technologies renders static regulatory frameworks vulnerable to strategic manipulation, undermining market fairness. This study addresses bargaining, negotiation, and persuasion as three canonical game-theoretic settings, modeling how AI agents interact in contexts involving resource allocation, asymmetric information exchange, and strategic communication. The work proposes the “poisoned apple effect”—a phenomenon wherein participants strategically introduce unused or non-adopted technologies to influence regulatory decisions and thereby skew equilibrium payoffs in their favor. This insight reveals that technological expansion itself can function as a strategic instrument for manipulation, challenging the adequacy of conventional static regulatory paradigms. The paper advocates for a shift toward dynamic market design capable of adapting to the evolving strategic capabilities of AI agents and mitigating associated risks.

Technology Category

• Game Theory and Economic Paradigms: Mechanism Design
• Multiagent Systems: Mechanism Design
• Philosophy and Ethics of AI: AI & Law, Justice, Regulation & Governance

Application Category

• Economics, Online Markets and Human Computation: Uses of LLMs and GenAI for marketplace design, bidding, and strategic interactions
• Responsible Web: Machine-in-the-loop, human agency and autonomy
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions

Abstract

The integration of AI agents into economic markets fundamentally alters the landscape of strategic interaction. We investigate the economic implications of expanding the set of available technologies in three canonical game-theoretic settings: bargaining (resource division), negotiation (asymmetric information trade), and persuasion (strategic information transmission). We find that simply increasing the choice of AI delegates can drastically shift equilibrium payoffs and regulatory outcomes, often creating incentives for regulators to proactively develop and release technologies. Conversely, we identify a strategic phenomenon termed the"Poisoned Apple"effect: an agent may release a new technology, which neither they nor their opponent ultimately uses, solely to manipulate the regulator's choice of market design in their favor. This strategic release improves the releaser's welfare at the expense of their opponent and the regulator's fairness objectives. Our findings demonstrate that static regulatory frameworks are vulnerable to manipulation via technology expansion, necessitating dynamic market designs that adapt to the evolving landscape of AI capabilities.

Problem

• AI agents
• mediated markets
• technology expansion
• strategic manipulation
• regulatory design

Innovation

• Poisoned Apple Effect
• AI agents
• technology expansion
• strategic manipulation
• dynamic market design