{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T17:02:15Z","timestamp":1784912535541,"version":"3.55.0"},"reference-count":72,"publisher":"Emerald","issue":"8","license":[{"start":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T00:00:00Z","timestamp":1761523200000},"content-version":"vor","delay-in-days":3,"URL":"https:\/\/creativecommons.org\/licences\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,15]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>The integration of artificial intelligence in workplaces is rapidly transforming employment structures, skill requirements, and decision-making processes. This study examines how AI-mediated workplaces (AI-MWP) impact STEM trainees entering the workforce. Specifically, it explores their preparedness, the challenges and opportunities presented by AI-MWP, and the role of socio-digital skills in shaping their career trajectories.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>This study employs a socio-technical systems (STS) approach to analyze the experiences of science, technology, engineering and mathematics (STEM) interns. Using qualitative research methods, including interviews and case studies, we investigate how AI-MWP influence information sharing, task allocation, workplace interactions and the professional development of recent graduates.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The findings highlight that AI-MWP introduce new challenges for STEM trainees, particularly in navigating socio-digital skills, workplace autonomy and task ownership. AI-mediated communication reduces informal learning opportunities, impacting trainees' ability to develop professional networks and contextual understanding. Revealing a growing gap in employability frameworks that fail to address the evolving socio-technical demands of modern work, the study also underscores the necessity of digital fluency, adaptability and interdisciplinary collaboration as essential competencies for thriving in AI-MWP.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>This study extends STS thinking into the AI-mediated work domain, offering new insights into how digital transformation reshapes employment dynamics. By identifying socio-digital skills as a critical yet overlooked component, we provide actionable recommendations for STEM educators and employers to improve training strategies and bridge the gap between academic preparation and AI-MWP.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/itp-02-2025-0163","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T07:03:47Z","timestamp":1761548627000},"page":"251-275","source":"Crossref","is-referenced-by-count":6,"title":["Adapting to AI-mediated workplaces: how STEM trainees navigate new challenges and opportunities"],"prefix":"10.1108","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2971-140X","authenticated-orcid":true,"given":"Ilker","family":"Cingillioglu","sequence":"first","affiliation":[{"name":"The University of Adelaide Department of Finance and Business Analytics, , ,","place":["Adelaide, 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