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Rana Abou Khamis, Hala Assal, Ashraf Matrawy โ€” arXiv preprint (2026).

Synthesis

Drawing on 14 semi-structured interviews with IT professionals, this study explores how GenAI integration reshapes professional practice in system administration โ€” troubleshooting, scripting, and system verification.

Two unanticipated socio-technical findings: 'compression of traditional expertise pathways' โ€” GenAI acts as both mentor-like tutor and 'ladder-shortening' tool, accelerating unfamiliar-domain task performance while reducing exposure to the foundational build-fail-debug cycles that historically built expertise.

'Performance perception shift': AI-assisted speed resets organizational and self-expectations, creating a 'two-speed culture' within teams and 'productivity guilt' โ€” a metacognitive cost of AI-augmented work.

The findings extend concerns about cognitive offloading and skill decay from classroom settings to professional practice, with implications for professional training programs and workplace learning.

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  • Citation

    Abou Khamis, R., Assal, H., & Matrawy, A. (2026). Unanticipated effects of generative AI on expertise pathways and performance perception in system administration. arXiv:2607.28650.