AI is reshaping job tasks, skills, and hiring expectations in real time, yet education and workforce systems often rely on lagging indicators and incomplete signals. At the same time, employers and workforce platforms are sitting on rich data about how roles are evolving, which skills are gaining relevance, and where disruption is most acute. This small, curated Braintrust will explore what those signals actually show, how reliable they are, and what it would take to translate employer-held insights into more responsive education and training systems.

Together, we’ll pressure-test how companies are using data internally to anticipate workforce shifts, where incentives and governance create barriers to sharing insights more broadly, and what realistic near-term moves could better align education with employer demand. The goal is not broad consensus, but candid, practical insight into how AI-driven labor market change can inform smarter decisions for learners and the institutions that serve them.

To encourage open and candid discussion, this event follows the Chatham House Rule – attendees may share insights from the conversation but cannot attribute statements to specific individuals or organizations. This ensures a trusted space for thoughtful dialogue and deeper insights.