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Agents Want to Vote:
The Rise of Agentic AI

This policy research paper examines the unprecedented challenges and opportunities presented by agentic artificial intelligence (AI) in political communications. We are no longer confronting simple algorithmic tools but increasingly sophisticated autonomous systems that mimic human decision-making capabilities.

Aşkım Ezo Barol
Author

Aşkım Ezo Barol

Communication Specialist

What is Agentic AI?

1

Goal Oriented

Broad outcomes rather than granular steps.

2

Autonomous Execution

Independent planning and tool usage.

3

Self-Adapting

Course correction based on feedback.

An Explosive Market

The commercial landscape for agentic AI is undergoing exponential growth, signaling a profound industrial shift.

Market Cap 2034

$196.6B

CAGR Growth

43.8%

The Double-Edged Sword

Opportunities

  • Enhanced Analytics: Process vast data for deep public insight.
  • Real-Time Adaptation: Optimize messaging on the fly.
  • Efficiency: Automate multi-step campaign tasks seamlessly.

Ethical Risks

  • Erosion of Authenticity: Difficulty identifying human discourse.
  • Manipulation: Autonomous micro-targeting bias risks.
  • Accountability: Legal liability for AI actions is undefined.

Key Challenges

Agentic AI introduces structural risks to trust, accountability, and democratic legitimacy when deployed at scale.

Voters lose the ability to distinguish authentic human interaction from AI. This undermines the credibility of all political messaging and makes constructive dialogue increasingly difficult in the digital sphere.
Agentic systems can dynamically test and optimize persuasive narratives across segments. Without strong constraints, this increases the risk of coercive or deceptive persuasion that is difficult to detect, audit, or attribute.
When an AI agent plans actions, uses tools, and iterates toward goals, it becomes hard to determine who is responsible: the vendor, deployer, operator, or model. This legal ambiguity weakens enforcement and incentivizes risky deployment.

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