4. WORK IN THE AGE OF PROMPTS: HOW GENERATIVE AI IS REDEFINING EXPERTISE AND IDENTITY AT WORK
HOW GENERATIVE AI IS REDEFINING EXPERTISE AND IDENTITY AT WORK
DOI :
https://doi.org/10.48376/IMIST.PRSM/remarem-v17i2.58001Mots-clés :
GENERATIVE ARTIFICIAL INTELLIGENCE, KNOWLEDGE WORK, PROMPT ENGINEERING, PROFESSIONAL IDENTITY, COGNITIVE LABORRésumé
This study investigates how generative artificial intelligence (AI) is reshaping professional autonomy, skill application, and identity in knowledge work. Conducted in Morocco, the research focuses on 150 professionals in HR, marketing, and finance. Using an online structured questionnaire, we examine how these professionals engage with AI tools and how they perceive shifts in their roles. Quantitative analysis using descriptive statistics, correlations, and regression reveals that AI use does not significantly reduce autonomy, skill use, or identity. Instead, AI tools act as cognitive partners, promoting a model of human-machine augmentation. The rise of prompt engineering as a meta-skill underscores the emergence of hybrid professional identities. This paper contributes to the literature on human–AI collaboration and provides insights for organizations adopting AI ethically and effectively. Limitations and future research directions are discussed. This study investigates how generative artificial intelligence (AI) is reshaping professional autonomy, skill application, and identity in knowledge work. Conducted in Morocco, the research focuses on 150 professionals in HR, marketing, and finance. Using an online structured questionnaire, we examine how these professionals engage with AI tools and how they perceive shifts in their roles. Quantitative analysis using descriptive statistics, correlations, and regression reveals that AI use does not significantly reduce autonomy, skill use, or identity. Instead, AI tools act as cognitive partners, promoting a model of human-machine augmentation. The rise of prompt engineering as a meta-skill underscores the emergence of hybrid professional identities. This paper contributes to the literature on human–AI collaboration and provides insights for organizations adopting AI ethically and effectively. Limitations and future research directions are discussed.
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Certains droits réservés Revue Marocaine de Recherche en Management et Marketing 2025

Cette œuvre est sous licence Creative Commons Attribution - Pas d'Utilisation Commerciale - Pas de Modification 4.0 International.

