{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T12:32:18Z","timestamp":1793881938404,"version":"4.7.0"},"reference-count":73,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T00:00:00Z","timestamp":1789689600000},"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>The growing integration of Artificial Intelligence (AI) into the workplace is reshaping employees\u2019 perceptions of job and career stability, potentially generating psychological stress and uncertainty about future career trajectories. Drawing on Job Demands\u2013Resources (JD\u2013R) Theory, this study examines the relationship between AI-related insecurity and three career outcomes\u2014job security, career competency, and career satisfaction\u2014and investigates whether Perceived Organizational Support (POS) moderates these relationships.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A quantitative-dominant mixed-methods design was employed with a sample of 106 Portuguese professionals. Quantitative analyses examined the associations between AI-related insecurity and the three career outcomes and tested the moderating role of POS. Supplementary qualitative data were used to provide contextual insight into employees\u2019 experiences and perceptions of organizational responses to AI-related workplace change.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>AI-related insecurity was significantly and negatively associated with perceived job security and career satisfaction, whereas its association with career competency was not statistically significant. Moderation analyses indicated a differentiated role of POS across career outcomes. Higher POS attenuated the negative relationship between AI-related insecurity and job security but did not significantly moderate its relationship with career satisfaction. Qualitative findings further suggested that limited organizational communication and insufficient opportunities for upskilling may intensify employees\u2019 uncertainty and anxiety regarding AI-driven workplace change.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Discussion<\/jats:title>\n                    <jats:p>The findings suggest that organizational support may help employees manage immediate concerns about job continuity associated with AI integration but may be less effective in addressing broader uncertainty about long-term career trajectories. This distinction highlights the limits of generalized organizational support as a response to AI-related career insecurity and points to the importance of combining supportive organizational practices with transparent communication, targeted upskilling, and career development initiatives. The study extends the application of JD\u2013R Theory to AI-related workplace change by showing that organizational resources may have differential protective effects across distinct dimensions of career insecurity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/frai.2026.1891537","type":"journal-article","created":{"date-parts":[[2026,9,18]],"date-time":"2026-09-18T05:36:44Z","timestamp":1789709804000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The rise of AI in the workplace: why perceived organizational support fails to protect long-term career satisfaction"],"prefix":"10.3389","volume":"9","author":[{"given":"Jo\u00e3o","family":"Matias","sequence":"first","affiliation":[{"name":"Universidade Cat\u00f3lica Portuguesa, Faculdade de Ci\u00eancias Humanas CEDH - Centro de Investiga\u00e7\u00e3o para o Desenvolvimento Humano","place":["Lisbon, Portugal"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joana Carneiro","family":"Pinto","sequence":"additional","affiliation":[{"name":"Universidade Cat\u00f3lica Portuguesa, Faculdade de Ci\u00eancias Humanas CEDH - Centro de Investiga\u00e7\u00e3o para o Desenvolvimento Humano","place":["Lisbon, Portugal"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,9,18]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1108\/pr-06-2017-0180","article-title":"Using hybrid SEM \u2013 artificial intelligence","volume":"49","author":"Abubakar","year":"2019","journal-title":"Pers. 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