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]
- AI agents
- alphaXiv
- CatalyzeX Code Finder for Papers
- DagsHub
- generative artificial intelligence
- Gotit.pub
- Hugging Face
- Influence Flower
- ScienceCast
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