Digital Transformation and Workforce Adaptability: Rethinking Professional Competencies in an Era of Continuous Change

Digital transformation changes not only the tools professionals use but also the conditions under which they exercise judgement, learn and adapt. Existing research identifies digital competencies, adaptive performance and organisational learning, yet these perspectives are often discussed at different levels of analysis. This conceptual article develops a conditional, multilevel explanation of how digital change may lead to sustained adaptive professional practice. Using a purposive, non-systematic synthesis of scholarship on digital transformation, adaptive performance, work design, workplace learning and responsible technology governance, it distinguishes five analytically separate elements: changing task demands, competency renewal, enabling work conditions, enacted adaptive practices and sustainable outcomes. The proposed contribution is not a new inventory of skills. It is the specification of the conversion problem: newly acquired competence may fail to become responsible adaptive behaviour when workers lack discretion, opportunities to practise, reliable systems or organisational support. Seven propositions identify testable relationships, competing explanations and conditions under which the proposed pathway may fail. A hypothetical AI-supported public-service workflow illustrates the framework, and a longitudinal, multi-team evaluation design is proposed. The framework remains unvalidated; its value lies in providing falsifiable distinctions between training completion, demonstrated competence, adaptive action and longer-term organisational outcomes.