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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.25893 |
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| _version_ | 1866912984265129984 |
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| author | Lucier, Brendan Immorlica, Nicole Mobius, Markus Slivkins, Aleksandrs Goldstein, Daniel G. Hofman, Jake M. Jaffe, Sonia Rothschild, David M. |
| author_facet | Lucier, Brendan Immorlica, Nicole Mobius, Markus Slivkins, Aleksandrs Goldstein, Daniel G. Hofman, Jake M. Jaffe, Sonia Rothschild, David M. |
| contents | Motivated by agentic markets -- two-sided markets in which consumers and businesses are assisted by AI tools that facilitate consumers' search -- we study the impact of improved search technology on learning and welfare in markets. We put forth a model where consumers engage in costly search to acquire signals of product fit prior to purchase. The market tracks indications of fit for searched products and indications of quality for chosen products, thereby guiding searches. We characterize the long-run steady-state of the resulting dynamics as well as the impact of improving search technology. We find cheaper search improves learning and consumer surplus, whereas more informative search can degrade both unless the market learns as much as consumers about the products by, for example, ``reading the transcripts'' of agentic conversations. Finally, we consider the impact of search improvements on how businesses set prices. At equilibrium prices in symmetric markets, consumer surplus is improved by cheaper search but may be decreased by more informative search, due to weakened inter-business competition. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_25893 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Agentic Markets: Equilibrium Effects of Improving Consumer Search Lucier, Brendan Immorlica, Nicole Mobius, Markus Slivkins, Aleksandrs Goldstein, Daniel G. Hofman, Jake M. Jaffe, Sonia Rothschild, David M. Computer Science and Game Theory Computers and Society Motivated by agentic markets -- two-sided markets in which consumers and businesses are assisted by AI tools that facilitate consumers' search -- we study the impact of improved search technology on learning and welfare in markets. We put forth a model where consumers engage in costly search to acquire signals of product fit prior to purchase. The market tracks indications of fit for searched products and indications of quality for chosen products, thereby guiding searches. We characterize the long-run steady-state of the resulting dynamics as well as the impact of improving search technology. We find cheaper search improves learning and consumer surplus, whereas more informative search can degrade both unless the market learns as much as consumers about the products by, for example, ``reading the transcripts'' of agentic conversations. Finally, we consider the impact of search improvements on how businesses set prices. At equilibrium prices in symmetric markets, consumer surplus is improved by cheaper search but may be decreased by more informative search, due to weakened inter-business competition. |
| title | Agentic Markets: Equilibrium Effects of Improving Consumer Search |
| topic | Computer Science and Game Theory Computers and Society |
| url | https://arxiv.org/abs/2603.25893 |