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Generative AI agents reshape e-commerce economics, paper finds

A new paper explores the economic implications of generative AI agents in e-commerce, contrasting traditional manual product search with agentic search where consumers delegate discovery. The research indicates that while manual search falters with increasing preference complexity, agentic search can maintain positive revenue by screening a broader catalog. Platforms may also adjust fidelity to consumers based on their attention budgets, potentially assigning lower fidelity to those with larger budgets who can compensate for noisy preference representations through additional refinement. AI

IMPACT This research suggests a fundamental shift in e-commerce driven by AI agents, impacting how consumers discover products and how platforms design their services.

RANK_REASON The cluster contains a single academic paper discussing theoretical economic implications of AI agents. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Generative AI agents reshape e-commerce economics, paper finds

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Lingxiu Dong, Kaiwen Luo, Fasheng Xu ·

    From Product Search to Preference Articulation: The Economics of Agentic Commerce

    arXiv:2608.08395v1 Announce Type: cross Abstract: Generative AI is shifting digital commerce from browsing toward agentic search, in which consumers delegate product discovery to AI agents. We compare manual search, which accurately evaluates a limited product set, with agentic s…