Papers
arxiv:2601.11496

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

Published on Jan 16
ยท Submitted by
Eilam Shapira
on Jan 19
#2 Paper of the day
Authors:
,

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.

Community

Paper author Paper submitter

Imagine a company introducing a shiny new technology ๐ŸŽ. Not to use it, but to force a regulator to rewrite the rules.

Once the rules change? The apple is discarded. The technology is never used. But the strategic shift is complete: the manipulator secures a higher payoff, while other players are left worse off.

In our new paper, "The Poisoned Apple Effect", we identify a strategic vulnerability in AI-mediated markets. We show how agents can expand the technological space purely to manipulate the mediator's design. The result? The manipulator profits from the new rules, while competitors (and social welfare) pay the price.

Sign up or log in to comment

Models citing this paper 0

No model linking this paper

Cite arxiv.org/abs/2601.11496 in a model README.md to link it from this page.

Datasets citing this paper 0

No dataset linking this paper

Cite arxiv.org/abs/2601.11496 in a dataset README.md to link it from this page.

Spaces citing this paper 0

No Space linking this paper

Cite arxiv.org/abs/2601.11496 in a Space README.md to link it from this page.

Collections including this paper 0

No Collection including this paper

Add this paper to a collection to link it from this page.