Maria A. Cattaneo , Christian Gschwendt , Stefan C. Wolter
{"title":"自动化的风险有多可怕?来自大规模调查实验的证据","authors":"Maria A. Cattaneo , Christian Gschwendt , Stefan C. Wolter","doi":"10.1016/j.jebo.2025.107034","DOIUrl":null,"url":null,"abstract":"<div><div>Technological advancements have always shaped labor markets; however, emerging AI innovations like ChatGPT are now putting occupations previously considered \"safe\" from technological substitution at significant risk of automation. This study examines individuals' willingness to pay to reduce automation risk, using a discrete-choice experiment conducted with nearly 6000 participants. Results reveal that respondents accept a salary reduction of almost 20 % of the Swiss median annual gross wage to reduce their automation risk by 10 percentage points or, conversely, demand a 20 % risk premium to accept an equivalent increase in automation risk. Interestingly, the study finds that WTP for risk reduction increases with higher baseline automation risk levels, contrary to patterns observed in other contexts. While preferences are generally homogeneous, differences exist between demographic groups. Men, younger and risk-tolerant individuals, and those with higher education show lower willingness to pay for reduced automation risk. By having respondents express preferences for hypothetical children, the study also explores potential gender biases, finding no significant differences in willingness to pay for reduced automation risk, educational degrees, hierarchical position, or wage based on the child's gender.</div></div>","PeriodicalId":48409,"journal":{"name":"Journal of Economic Behavior & Organization","volume":"235 ","pages":"Article 107034"},"PeriodicalIF":2.3000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"How scary is the risk of automation? evidence from a large-scale survey experiment\",\"authors\":\"Maria A. Cattaneo , Christian Gschwendt , Stefan C. Wolter\",\"doi\":\"10.1016/j.jebo.2025.107034\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Technological advancements have always shaped labor markets; however, emerging AI innovations like ChatGPT are now putting occupations previously considered \\\"safe\\\" from technological substitution at significant risk of automation. This study examines individuals' willingness to pay to reduce automation risk, using a discrete-choice experiment conducted with nearly 6000 participants. Results reveal that respondents accept a salary reduction of almost 20 % of the Swiss median annual gross wage to reduce their automation risk by 10 percentage points or, conversely, demand a 20 % risk premium to accept an equivalent increase in automation risk. Interestingly, the study finds that WTP for risk reduction increases with higher baseline automation risk levels, contrary to patterns observed in other contexts. While preferences are generally homogeneous, differences exist between demographic groups. Men, younger and risk-tolerant individuals, and those with higher education show lower willingness to pay for reduced automation risk. By having respondents express preferences for hypothetical children, the study also explores potential gender biases, finding no significant differences in willingness to pay for reduced automation risk, educational degrees, hierarchical position, or wage based on the child's gender.</div></div>\",\"PeriodicalId\":48409,\"journal\":{\"name\":\"Journal of Economic Behavior & Organization\",\"volume\":\"235 \",\"pages\":\"Article 107034\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Economic Behavior & Organization\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167268125001532\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Behavior & Organization","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167268125001532","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
How scary is the risk of automation? evidence from a large-scale survey experiment
Technological advancements have always shaped labor markets; however, emerging AI innovations like ChatGPT are now putting occupations previously considered "safe" from technological substitution at significant risk of automation. This study examines individuals' willingness to pay to reduce automation risk, using a discrete-choice experiment conducted with nearly 6000 participants. Results reveal that respondents accept a salary reduction of almost 20 % of the Swiss median annual gross wage to reduce their automation risk by 10 percentage points or, conversely, demand a 20 % risk premium to accept an equivalent increase in automation risk. Interestingly, the study finds that WTP for risk reduction increases with higher baseline automation risk levels, contrary to patterns observed in other contexts. While preferences are generally homogeneous, differences exist between demographic groups. Men, younger and risk-tolerant individuals, and those with higher education show lower willingness to pay for reduced automation risk. By having respondents express preferences for hypothetical children, the study also explores potential gender biases, finding no significant differences in willingness to pay for reduced automation risk, educational degrees, hierarchical position, or wage based on the child's gender.
期刊介绍:
The Journal of Economic Behavior and Organization is devoted to theoretical and empirical research concerning economic decision, organization and behavior and to economic change in all its aspects. Its specific purposes are to foster an improved understanding of how human cognitive, computational and informational characteristics influence the working of economic organizations and market economies and how an economy structural features lead to various types of micro and macro behavior, to changing patterns of development and to institutional evolution. Research with these purposes that explore the interrelations of economics with other disciplines such as biology, psychology, law, anthropology, sociology and mathematics is particularly welcome.