Daniel Goller , Christian Gschwendt , Stefan C. Wolter
{"title":"这一次是不同的——生成人工智能和职业选择","authors":"Daniel Goller , Christian Gschwendt , Stefan C. Wolter","doi":"10.1016/j.labeco.2025.102746","DOIUrl":null,"url":null,"abstract":"<div><div>We show the causal influence of the launch of generative artificial intelligence (AI) in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. To estimate the short- and medium-term effects, we use a variety of methods, including a difference-in-discontinuity approach exploiting the exogenous nature of the unanticipated launch of ChatGPT in 2022. There is a strong short- and medium-term decline in the intensity of searches for vacancies, indicating a notable reduction in the supply of young people actively seeking apprenticeships and suggesting great uncertainty among the affected cohort. Occupations with a high proportion of cognitive tasks and with high demands on language skills were particularly affected by the decline. Interestingly, the revealed preferences in the search behavior of young job seekers contrasted with previous expert assessments on the automation risks of occupations and aligned with the most recent assessments of the AI and language model exposure of occupations – before these new assessments existed. Notably, while the supply decline did not reduce the number of signed apprenticeship contracts, we find evidence of declining applicant quality, particularly for commercial employees, the most widely offered apprenticeship in Switzerland.</div></div>","PeriodicalId":48153,"journal":{"name":"Labour Economics","volume":"95 ","pages":"Article 102746"},"PeriodicalIF":2.6000,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"This time it’s different – Generative artificial intelligence and occupational choice\",\"authors\":\"Daniel Goller , Christian Gschwendt , Stefan C. Wolter\",\"doi\":\"10.1016/j.labeco.2025.102746\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>We show the causal influence of the launch of generative artificial intelligence (AI) in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. To estimate the short- and medium-term effects, we use a variety of methods, including a difference-in-discontinuity approach exploiting the exogenous nature of the unanticipated launch of ChatGPT in 2022. There is a strong short- and medium-term decline in the intensity of searches for vacancies, indicating a notable reduction in the supply of young people actively seeking apprenticeships and suggesting great uncertainty among the affected cohort. Occupations with a high proportion of cognitive tasks and with high demands on language skills were particularly affected by the decline. Interestingly, the revealed preferences in the search behavior of young job seekers contrasted with previous expert assessments on the automation risks of occupations and aligned with the most recent assessments of the AI and language model exposure of occupations – before these new assessments existed. Notably, while the supply decline did not reduce the number of signed apprenticeship contracts, we find evidence of declining applicant quality, particularly for commercial employees, the most widely offered apprenticeship in Switzerland.</div></div>\",\"PeriodicalId\":48153,\"journal\":{\"name\":\"Labour Economics\",\"volume\":\"95 \",\"pages\":\"Article 102746\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Labour Economics\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0927537125000703\",\"RegionNum\":2,\"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":"Labour Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0927537125000703","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
This time it’s different – Generative artificial intelligence and occupational choice
We show the causal influence of the launch of generative artificial intelligence (AI) in the form of ChatGPT on the search behavior of young people for apprenticeship vacancies. To estimate the short- and medium-term effects, we use a variety of methods, including a difference-in-discontinuity approach exploiting the exogenous nature of the unanticipated launch of ChatGPT in 2022. There is a strong short- and medium-term decline in the intensity of searches for vacancies, indicating a notable reduction in the supply of young people actively seeking apprenticeships and suggesting great uncertainty among the affected cohort. Occupations with a high proportion of cognitive tasks and with high demands on language skills were particularly affected by the decline. Interestingly, the revealed preferences in the search behavior of young job seekers contrasted with previous expert assessments on the automation risks of occupations and aligned with the most recent assessments of the AI and language model exposure of occupations – before these new assessments existed. Notably, while the supply decline did not reduce the number of signed apprenticeship contracts, we find evidence of declining applicant quality, particularly for commercial employees, the most widely offered apprenticeship in Switzerland.
期刊介绍:
Labour Economics is devoted to publishing research in the field of labour economics both on the microeconomic and on the macroeconomic level, in a balanced mix of theory, empirical testing and policy applications. It gives due recognition to analysis and explanation of institutional arrangements of national labour markets and the impact of these institutions on labour market outcomes.