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

Hindi

हम अध्ययन करते हैं कि उत्पादन में मानव भूमिका बढ़ने वाली एआई क्षमताओं के बावजूद कैसे बनी रह सकती है. मनुष्यों को स्वाद में एक स्थायी लाभ हो सकता है, बेहतर उत्पादों को डिजाइन कर सकता है, भले ही एआई एजेंट दिनचर्या कार्यों को स्वचालित करते हैं, या उपभोक्ता मूल रूप से यह पसंद कर सकते हैं कि मानव उत्पादन में एक हाथ हो। हमारे प्रयोग में, प्रतिभागियों को निर्माता के रूप में कार्य करते हैं, एक एआई कोड एजेंट के साथ कंप्यूटर गेम डिजाइन करते हैं, और उपभोक्ताओं के रूप में जो उन्हें खरीदते हैं।

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