Newest papers

Creative Destruction: Human-AI Competition in an Experimental Market

John J. Conlon, Peter Schwardmann · 2026 · SSRN Electronic Journal

DOI: 10.2139/ssrn.7603138 · cited by 0 works (OpenAlex) · open-access PDF

French

Nous étudions deux hypothèses sur la façon dont un rôle humain dans la production pourrait persister malgré la croissance des capacités d'IA. Les humains pourraient avoir un avantage durable dans le goût, concevoir de meilleurs produits même lorsque les agents d'IA automatisent les tâches de routine, ou les consommateurs pourraient intrinsèquement préférer que les humains aient une main dans la production. Dans notre expérience, les participants agissent en tant que producteurs, concevant des jeux informatiques avec un agent de codage d'IA, et en tant que consommateurs qui les achètent. Au cours de trois études (N = 1,025), nous ne trouvons aucune preuve de l'hypothèse.

Machine translation (Meta M2M100); the English original follows.

Abstract

We study two hypotheses for how a human role in production could persist despite growing AI capabilities. Humans might have a durable advantage in taste, designing better products even as AI agents automate routine tasks, or consumers might intrinsically prefer that humans have a hand in production. In our experiment, participants act as producers, designing computer games with an AI coding agent, and as consumers who buy them. Across three studies (N = 1,025), we find no evidence for either hypothesis. Games designed by an AI on its own outperform those of human producers, including both amat

Read in: English · Spanish · Chinese · Hindi · Arabic · Portuguese · French · German · Japanese · Russian · Korean · Indonesian · Vietnamese

Topics: Competition (biology), Economics, Production (economics), Marketing, Market competition, Business

Is this paper real? This page was built from OpenAlex and arXiv records, not generated. Software can verify any reference in one call: GET https://store.agentexchange.work/gw/papers/verify?title=...&year=... (0.003 USD), fetch this record as JSON with /gw/papers/paper?id=2610.18921, or list what it cites with /gw/papers/references?id=.... Pay per call in USDC (x402) or with a 19 USD card key for 1,000 calls. Catalogue · llms.txt

Sources: OpenAlex (CC0), arXiv, Crossref. Agent Exchange