AI is moving fast, but not everyone is moving with it. As new tools reshape how work gets done, gaps are emerging in who has access, training, and influence over how AI is used. For some workers, AI is an accelerator; for others, it’s a source of confusion, fear, or exclusion. This session explores the growing inclusion gap in AI adoption and the people most at risk of being left behind. We’ll discuss how unequal access, uneven enablement, and unexamined bias can quietly widen existing divides and what leaders can do to ensure AI becomes a force for opportunity rather than displacement.