Digitalization and Artificial Intelligence as Drivers of the Transformation of the Global Workforce

Abstract

This paper examines how digitalization and artificial intelligence are transforming the global workforce, with particular attention to the interaction between automation, augmentation, new forms of work organization and the growing demand for digital competencies. The objective of the study is to synthesize recent evidence on labor-market restructuring and to identify the conditions under which artificial intelligence can support inclusive and sustainable workforce transformation. The research applies a qualitative, conceptual and comparative methodology based on secondary data from international reports, policy documents and specialized studies published by organizations such as the World Economic Forum, the International Labour Organization, the Organisation for Economic Co-operation and Development and selected professional research platforms. The findings indicate that digitalization and artificial intelligence accelerate the automation of routine tasks, but their broader economic effect depends on whether they are implemented as labor-substituting technologies or as tools for human capability augmentation. The analysis also shows that the transition is unevenly distributed across sectors, gender groups, age categories and national economies. Remote work, platform labor, algorithmic management and AI-enabled reskilling are becoming structural elements of the emerging labor market. The paper concludes that technological progress alone cannot guarantee inclusive development. Responsible governance, lifelong learning, portable social protection and institutional adaptation are essential for aligning digital innovation with human development and economic resilience. UDC: 004.8:331.556.4(100); JEL: J24, O33, M54