Abstract:
Artificial Intelligence (AI) is transforming Human Resource Management (HRM), highlighting a readiness paradox
where technological advancements often surpass both organizational and individual readiness globally. This paradox is
particularly apparent between Western and Asian contexts, influenced by differing cultural norms, governance structures,
and varying digital competencies among workforces. A strategic capability framework for sustainable AI-assisted HRM is
proposed, derived from a thematic analysis of thirteen peer-reviewed studies. Findings indicate that while Asian workforces
show significant grassroots engagement with AI, they encounter challenges related to infrastructure and governance.
Conversely, Western organizations demonstrate more structured governance but struggle with slower adoption from
the bottom-up. Key factors like leadership, ethical governance, and cultural values emerge as essential for addressing
these discrepancies. The study warns against blindly mirroring Western HRM practices in Asia, due to potential ethical
concerns and psychosocial risks like burnout. It provides actionable recommendations for culturally aware leadership,
capability development, and ethical guidelines to promote sustainable AI integration worldwide.
