{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T06:56:31Z","timestamp":1790751391200,"version":"4.1.0"},"reference-count":49,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T00:00:00Z","timestamp":1790726400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Artif. Intell."],"abstract":"<jats:sec>\n                    <jats:title>Introduction<\/jats:title>\n                    <jats:p>Artificial intelligence (AI) is transforming educational work, although claims that it will replace teachers often overlook the institutional conditions that make teacher job loss appear more or less likely. This study examined whether current AI-related institutional risk conditions predict stakeholder expectations of teacher job loss over the next decade.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A purposive sample of 300 education and AI stakeholders rated the extent to which 11 conditions were currently present and provided a separate 0\u201310 score indicating the extent to which they expected AI to contribute to teacher job loss.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Overall job-loss expectations were low to moderate, and the institutional AI condition indicators showed good internal consistency. The machine learning model showed good predictive performance in the original held-out test set (\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u202f=\u202f0.683) and stable performance across 100 repeated train-test splits (mean\n                      <jats:italic>R<\/jats:italic>\n                      <jats:sup>2<\/jats:sup>\n                      \u202f=\u202f0.598). The explainable AI analysis showed that the strongest contribution band consisted of automated feedback, large-scale AI adoption, and standardized content delivery.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The findings suggest that the extent to which stakeholders perceive AI-related institutional risk conditions to be currently present in educational settings is associated with the extent of teacher job loss they expect. They further indicate that this risk is not an inevitable technological outcome, but is embedded in a broader institutional ecology, with expectations clustering more strongly around direct forms of AI-mediated instructional restructuring than around indirect institutional or governance-related vulnerabilities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frai.2026.1933015","type":"journal-article","created":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T06:03:30Z","timestamp":1790748210000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AI and the future of teachers: predicting stakeholders\u2019 expectations of teacher job loss from AI-related institutional conditions"],"prefix":"10.3389","volume":"9","author":[{"given":"Georgios P.","family":"Georgiou","sequence":"first","affiliation":[{"name":"Department of Languages and Literature, University of Nicosia","place":["Nicosia, Cyprus"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,30]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"2188","DOI":"10.1086\/705716","article-title":"Robots and jobs: evidence from US labor markets","volume":"128","author":"Acemoglu","year":"2020","journal-title":"J. Polit. Econ."},{"key":"ref2","doi-asserted-by":"publisher","first-page":"431","DOI":"10.1007\/s43681-021-00096-7","article-title":"Artificial intelligence in education: addressing ethical challenges in K\u201312 settings","volume":"2","author":"Akgun","year":"2022","journal-title":"AI Ethics"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"1743016","DOI":"10.3389\/frai.2025.1743016","article-title":"Persona pedagogica in crisis: are educators becoming data custodians in the age of AI?","volume":"8","author":"Ambady","year":"2026","journal-title":"Front. Artif. Intell."},{"key":"ref4","author":"Ash","year":"2026"},{"key":"ref5","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1257\/jep.29.3.3","article-title":"Why are there still so many jobs? The history and future of workplace automation","volume":"29","author":"Autor","year":"2015","journal-title":"J. Econ. 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Organ."},{"key":"ref9","doi-asserted-by":"publisher","first-page":"107468","DOI":"10.1016\/j.chb.2022.107468","article-title":"Towards intelligent-TPACK: an empirical study on teachers\u2019 professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education","volume":"138","author":"Celik","year":"2023","journal-title":"Comput. Hum. Behav."},{"key":"ref10","doi-asserted-by":"publisher","first-page":"101395","DOI":"10.1016\/j.stueduc.2024.101395","article-title":"Will generative AI replace teachers in higher education? A study of teacher and student perceptions","volume":"83","author":"Chan","year":"2024","journal-title":"Stud. Educ. Eval."},{"key":"ref11","author":"Cukurova","year":"2025"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1007\/s44163-025-00475-7","article-title":"Integrating AI literacy into teacher education: a critical perspective paper","volume":"5","author":"Daher","year":"2025","journal-title":"Discov. 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Educ."},{"key":"ref21","volume-title":"Uneven Adoption of Artificial Intelligence Tools Among US Teachers and Principals in the 2023-2024 School Year","author":"Kaufman","year":"2025"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"1806165","DOI":"10.3389\/frai.2026.1806165","article-title":"Teachers\u2019 perceptions of artificial intelligence in curriculum integration: opportunities, concerns, and professional development needs","volume":"9","author":"Kay\u0131ran","year":"2026","journal-title":"Front Artif Intell"},{"key":"ref23","first-page":"3146","volume-title":"Advances in Neural Information Processing Systems","author":"Ke","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","first-page":"366","DOI":"10.5465\/annals.2018.0174","article-title":"Algorithms at work: the new contested terrain of control","volume":"14","author":"Kellogg","year":"2020","journal-title":"Acad. Manag. Ann."},{"key":"ref25","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1080\/17439884.2019.1623251","article-title":"Machine behaviourism: future visions of \u2018learnification\u2019 and \u2018datafication\u2019 across humans and digital technologies","volume":"45","author":"Knox","year":"2020","journal-title":"Learn. Media Technol."},{"key":"ref26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/ijec.2015100101","article-title":"Common method bias in PLS-SEM: a full collinearity assessment approach","volume":"11","author":"Kock","year":"2015","journal-title":"Internat J e-Collab"},{"key":"ref27","author":"Leopold","year":"2025"},{"key":"ref28","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1016\/j.tourman.2019.02.006","article-title":"Hotel employees\u2019 artificial intelligence and robotics awareness and its impact on turnover intention: the moderating roles of perceived organizational support and competitive psychological climate","volume":"73","author":"Li","year":"2019","journal-title":"Tour. Manag."},{"key":"ref29","first-page":"4765","volume-title":"Advances in Neural Information Processing Systems","author":"Lundberg","year":"2017"},{"key":"ref30","author":"McGehee","year":"2024"},{"key":"ref31","author":"Miao","year":"2024"},{"key":"ref32","volume-title":"OECD Digital Education Outlook 2026: Exploring Effective Uses of Generative AI in Education","year":"2026"},{"key":"ref33","doi-asserted-by":"publisher","first-page":"32","DOI":"10.3390\/soc16010032","article-title":"Will AI replace us? Changing the university teacher role","volume":"16","author":"Okulicz-Kozaryn","year":"2026","journal-title":"Societies"},{"key":"ref34","doi-asserted-by":"publisher","first-page":"100838","DOI":"10.1016\/j.hrmr.2021.100838","article-title":"Algorithms as work designers: how algorithmic management influences the design of jobs","volume":"32","author":"Parent-Rocheleau","year":"2022","journal-title":"Hum. Resour. Manag. Rev."},{"key":"ref35","doi-asserted-by":"publisher","first-page":"879","DOI":"10.1037\/0021-9010.88.5.879","article-title":"Common method biases in behavioral research: a critical review of the literature and recommended remedies","volume":"88","author":"Podsakoff","year":"2003","journal-title":"J. Appl. Psychol."},{"key":"ref36","year":"2026"},{"key":"ref37","doi-asserted-by":"publisher","first-page":"57","DOI":"10.3390\/educsci16010057","article-title":"Conceptualizing the impact of AI on teacher knowledge and expertise: a cognitive load perspective","volume":"16","author":"Rind","year":"2026","journal-title":"Educ. Sci."},{"key":"ref38","doi-asserted-by":"publisher","first-page":"1297","DOI":"10.1186\/s40359-025-03647-3","article-title":"The impact of AI integration in project preparation in education course on pre-service teachers\u2019 innovativeness, AI anxiety, attitudes, and acceptance","volume":"13","author":"Sat","year":"2025","journal-title":"BMC Psychol."},{"key":"ref39","doi-asserted-by":"publisher","first-page":"3","DOI":"10.23865\/ntpk.v10.6062","article-title":"On the limits of artificial intelligence (AI) in education","volume":"10","author":"Selwyn","year":"2024","journal-title":"Nord. Tidsskr. Pedagog. Krit"},{"key":"ref40","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1186\/s41239-021-00292-9","article-title":"The impact of artificial intelligence on learner\u2013instructor interaction in online learning","volume":"18","author":"Seo","year":"2021","journal-title":"Int. J. Educ. Technol. High. 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