arXiv:2606.18005v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents that make consumption decisions on behalf of users. This shift raises fundamental questions for consumer theory, which has traditionally modeled humans as the primary decision-makers. In this paper, we introduce LLM Consumer Behavior Theory, a new field of study concerned with analyzing consumer behavior in agentic markets. Drawing on classical and behavioral economics alongside recent advances in Natural Language Processing, we formalize how human preferences are reflect
The increasing deployment of LLMs as autonomous agents capable of making consumption decisions necessitates a formal framework to understand this emerging economic dynamic.
This paper establishes a new field of study crucial for understanding how AI-driven agents will reshape consumer behavior, market dynamics, and economic theory.
Traditional consumer theory, centered on human decision-makers, must now incorporate LLM agents as primary economic actors, fundamentally altering models of demand, supply, and market efficiency.
- · AI ethicists
- · Economists specializing in behavioral economics
- · AI agent developers
- · Companies offering AI-driven personalized services
- · Traditional marketing firms without AI integration
- · Companies unable to adapt to agent-driven markets
- · Consumers without digital literacy to manage agents
Research into LLM Consumer Behavior Theory accelerates, attracting significant academic and industry attention.
New regulations emerge to govern the behavior of autonomous LLM agents in consumer markets, addressing issues like transparency and bias.
The development of 'agent-proof' marketing strategies becomes a critical competitive advantage for businesses.
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Read at arXiv cs.AI