{"title":"Towards a Socioeconomics of Hype: Hype Dynamics and Symbolic Boundary Work Within the Speculative AI Bubble","authors":"Jason Bohner, Janet Vertesi","doi":"10.1177/08944393251361935","DOIUrl":null,"url":null,"abstract":"Drawing on interviews with 37 entrepreneurs, engineers, technologists and investors in the New York City tech scene involved in AI, we investigate the social formations that characterize “AI-hype” from the perspective of micro-level economic sociology. We observe how actors in New York draw symbolic boundaries between their own work and that of “hype-beasts” in San Francisco, despite drawing upon and profiting from the same sociotechnical imaginaries about AI’s transformative potential. We show how this symbolic boundary work serves to legitimate the local ecosystem, to provide moral valuations for the exchange of capital, to ground different temporalities that inspire urgency in their work, and to enact spatial boundaries amid competing sociotechnical imaginaries. We demonstrate how these contestations contribute to the construction of powerful relevant social groups and their respective technological systems. We thus use the case of AI to take steps toward developing a sociology of hype, drawing on literature in the sociology of technology, boundary work in the professions, and economic sociology.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"106 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Science Computer Review","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/08944393251361935","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Drawing on interviews with 37 entrepreneurs, engineers, technologists and investors in the New York City tech scene involved in AI, we investigate the social formations that characterize “AI-hype” from the perspective of micro-level economic sociology. We observe how actors in New York draw symbolic boundaries between their own work and that of “hype-beasts” in San Francisco, despite drawing upon and profiting from the same sociotechnical imaginaries about AI’s transformative potential. We show how this symbolic boundary work serves to legitimate the local ecosystem, to provide moral valuations for the exchange of capital, to ground different temporalities that inspire urgency in their work, and to enact spatial boundaries amid competing sociotechnical imaginaries. We demonstrate how these contestations contribute to the construction of powerful relevant social groups and their respective technological systems. We thus use the case of AI to take steps toward developing a sociology of hype, drawing on literature in the sociology of technology, boundary work in the professions, and economic sociology.
期刊介绍:
Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.