Assess the learner's ability to design an evidence-based, AI-integrated talent development framework for multinational enterprises, including: creation of competency models aligned to strategic goals and cross-cultural leadership requirements; development of adaptive, AI-personalized curricula and learning pathways; specification of assessment metrics, validation methods (e.g., predictive validity, ROI, inclusion), and data sources; and a pragmatic implementation roadmap covering governance, data infrastructure, change management, ethics/privacy, scalability, and evaluation timelines. Responses should justify design choices with relevant theory and empirical evidence and include sample artifacts (competency matrix, curriculum outline, metric dashboard, phased rollout plan).