Health care companies strive to achieve such balance between work performances with maintenance of job satisfaction and staff commitment. The extensive adoption of artificial intelligence (AI) affords us an opportunity to intervene in a transformative way, such that personalized care decisions and resources may be possible. In this paper, the AI-based framework of staff optimization in the healthcare system is generated by considering its money and happiness trade-off. The platform employs predictive analytics, machine learning and natural language processing to analyse employee engagement, workload distribution and performance data. Using AI-based decision-making through the human resources strategy it hopes to reduce burnout, promote work-life balance and enhance patient care outcomes. This article expands on AI and how it influences employees’ motivation and retention, stressing out on the importance of organizational culture and supportive leadership in the successful implementation of AI. It also provides some insights into the ethical implication and AI bias in people management. This skeleton will enable those who make decisions to have a workforce that responds sufficiently well to pandemics, and who can provide high-quality care
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