Xiaohan Zhang, Gotion Inc, USA

As the global transition to sustainable energy accelerates, the stability of the talent supply chain has become a critical bottleneck for the Electric Vehicle (EV) industry. Traditional supply chain models for the EV sector have predominantly focused on raw materials, manufacturing capacity, logistics, semiconductors, and battery components, while largely overlooking the human capital dimension. This research reconceptualizes high-skilled technical talent as a critical supply chain component and develops a predictive retention framework using a multi-variable analytical model. By examining four core variables—Compensation Structure, Skill Growth Visibility, Leadership Quality, and Project Criticality Exposure—alongside two auxiliary variables, the paper identifies key correlations between organizational factors and long-term workforce stability among specialized battery engineers, algorithm developers, and technical leads. The model further proposes a Human Capital Risk Heatmap for proactive talent risk management. The findings provide a strategic framework for EV enterprises and policymakers to maintain national competitiveness in the clean energy sector by treating workforce retention as a supply chain resilience variable.

Electric Vehicle, Talent Supply Chain, Human Capital, Retention Model, Workforce Resilience, Clean Energy