ABSTRACT Artificial intelligence (AI) is increasingly embedded in workforce training, reshaping how adults learn, reskill, and adapt across their careers. Organizations are adopting AI‐enabled technologies to personalize learning pathways, automate feedback, support simulations, and provide just‐in‐time assistance. However, their effectiveness depends on alignment with principles of adult learning and education. This article examines AI‐enabled workforce training through andragogy, situated learning, and experiential learning, emphasizing learner agency, experience, and contextual practice. Focusing on adaptive learning platforms, intelligent tutoring systems, AI‐supported scaffolding and simulation, and AI‐augmented feedback, the analysis highlights both opportunities and limitations. Across these contexts, the article underscores the importance of transparency, human facilitation, and reflective engagement. It advances a human‐centered roadmap that emphasizes learning purpose, learner agency, contextual relevance, and equitable access. Rather than replacing instruction or judgment, AI is positioned as a developmental resource requiring intentional design and governance to support meaningful, lifelong professional learning.
Pandya et al. (Mon,) studied this question.