AI Impact on Professional Identity and Skills Evolution: A Comprehensive Analysis of Workforce Transformation Across Healthcare, Law, Education and Engineering

Abstract

The integration of artificial intelligence (AI) into professional domains represents a fundamental transformation in how professionals conceptualize their identities, develop competencies, and engage in collaborative work practices. This comprehensive review synthesizes empirical and theoretical literature examining AI's impact on professional identity and skills evolution across healthcare, law, education, and engineering. Drawing from 60 peer-reviewed studies published between 2017 and 2025, this article analyzes how AI technologies reshape professional self-concepts, redefine core competencies, and establish new paradigms of human-AI collaboration. Key findings reveal that AI integration triggers identity tensions characterized by concerns about autonomy, expertise devaluation, and role displacement, while simultaneously creating opportunities for augmented practice and hybrid professional roles. The evolution from specialized technical skills toward human-centric competencies—including critical thinking, ethical judgment, creativity, and emotional intelligence—emerges as a central theme across all professions examined. Healthcare professionals experience AI as both diagnostic augmentation and identity threat; legal practitioners navigate tensions between efficiency gains and professional jurisdiction; educators redefine pedagogical roles from knowledge transmission to mentorship and ethical guidance; and engineers embrace AI-augmented design while maintaining human oversight. This article contributes to professional identity theory by proposing a framework of "AI-extended professional self" that conceptualizes identity transformation as dynamic negotiation between technological augmentation and human expertise preservation. Implications for professional education, organizational culture, and workforce development strategies are discussed, emphasizing the necessity of continuous learning ecosystems, ethical AI literacy, and institutional support for identity adaptation in the age of intelligent automation.