Competencies of the Future: How Artificial Intelligence Has Been Shaping Skills and Labour Market Transformation
Purpose: The main purpose of this paper is to examine how AI reshapes current and prospective competencies and to evaluate its implications for employment. Design/Methodology/Approach: The study employed secondary data analysis (SDA), drawing upon global report (Future of Jobs report, 2025, World Economic Forum). Desk research was applied to identify, synthesise, and triangulate data on technology adoption, employment trends, and competencies requirements. The methodological approach ensured broad coverage across industries and geographies, enabling the identification of both generalisable patters and sector-specific divergences. Findings: The AI will shape job roles and competencies to a very high extent, acting both as a disruptor and a driver of new opportunities. The study confirms the necessity of sustained investment in upskilling and reskilling to ensure employability, organisational competitiveness, and societal resilience. Practical Implications: the paper highlight the necessity of investing in continuous upskilling and reskilling programmes to maintain workforce relevance in technology-driven environments and to balance the development of advanced digital competencies with the cultivation of creativity, adaptability, as well as emotional and social competence. Originality/Value: the paper contributes to the literature by integrating theoretical reflections on competencies with empirical insights from Future of Jobs report, 2025. It advances current understanding by conceptualising competencies as dynamic, multidimensional constructs that evolve under the influence of AI.