Empowering the Workforce with AI: A Dual - Path Strategy for Sustainable HR Transformation

The rapid diffusion of Artificial Intelligence (AI) across industries has heightened the need to understand its transformative role in human resource management (HRM). This study explores how HRM can evolve from being a passive adopter of automation to an active architect of AI-enabled workforce augmentation. Moving beyond fragmented discussions that focus only on risks or efficiency gains, the research proposes a dynamic two-tier framework that balances algorithmic optimisation with human-centred strategies. Methodologically, the paper integrates a systematic literature review with a conceptual model building approach, supported by evidence from digital transformation cases in manufacturing and service sectors. A methodological roadmap for empirical validation is also outlined, employing mixed-method designs (quantitative KPIs, employee surveys, and qualitative interviews) to capture both organisational performance and employee experience. Key findings suggest that AI in HRM operates along a dual impact spectrum: (i) at the “hard” level, augmenting efficiency through recruitment automation, predictive workforce analytics, and bias reduced evaluation; and (ii) at the “soft” level, fostering transparency, fairness, employee engagement, and enriched job designs. The proposed feedback loop model demonstrates how aligning these layers can mitigate technostress, reduce resistance, and promote resilience- ultimately transforming AI from a disruptive force into a catalyst for sustainable success. This research insures that HR professionals must assume strategic leadership in AI integration, ensuring a human-centric Industry 5.0 vision where digital technologies empower, rather than displace, the workforce. By combining algorithmic efficiency with people-first practices, HRM becomes a decisive enabler of organisational adaptability, innovation, and legitimacy in the digital economy.