Artificial intelligence (AI), and in particular Large Language Models (LLMs), increasingly are touted as a transformative force that can “do it all” in Learning and Talent Development (L&TD). For some of us, images of a silver bullet form in our minds. From adaptive learning systems to personalized training journeys, the promise of these tools seems to have captivated the industry. However, while the potential of these technologies is undeniable, many leaders struggle to reconcile marketing hype and over-promises with real-world applications. Misaligned expectations can lead to costly investments and underwhelming outcomes.

This article aims to bridge the gap between promise and practice. Drawing from professional experience, we offer actionable insights to help L&TD leaders navigate the realities of AI adoption. By understanding what AI can and cannot do, leaders can create practical strategies to integrate AI effectively and achieve meaningful results.