Reimagining Human Capital in the Age of Intelligent Machines: A Conceptual Analysis of AI-Driven Workforce Transformation in Multinational Organizations
Keywords:
Human Capital Theory, AI-Driven Workforce Transformation, Strategic HRM, Multinational Organizations, Relational-Adaptive Capital, Transcultural AI Governance, Human-AI IntegrationAbstract
The rise of smart machines and AI-powered systems has sparked a major rethink of human capital theory and how it applies to multinational organizations. This paper takes a closer look at how the traditional ideas found in human capital theory, strategic human resource management, and organizational behavior need to be reassessed in the context of an AI-driven workforce. It puts forward three fresh ideas: first, that in the age of AI, we should see human capital as relational-adaptive capital, which highlights our unique human abilities like contextual judgment, ethical reasoning, creativity, and cross-cultural empathy; second, that workforce planning should shift from being a one-off task to an ongoing process that relies on real-time data and predictive analytics; and third, that global organizations need to build transcultural AI governance skills to navigate the ethical, regulatory, and cultural challenges posed by AI-driven workforce systems in various countries. The paper brings together insights from strategic management, organizational theory, labor economics, technology philosophy, and cross-cultural management to create a comprehensive framework called the Human-AI Capital Integration (HACI) Framework, while also pointing out key areas for future research.
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