Community Connect

AI adoption rarely stalls because the tools aren’t powerful enough—it stalls because foundations like data, process clarity, and governance aren’t ready. This recap outlines a practical way to build readiness and business impact by designing early-career roles around the foundational work AI depends on.

Chelsea Linder outlined four imperatives for responsible AI adoption in 2026—data readiness, workforce readiness, disciplined buy/partner/integrate innovation, and infrastructure + sustainability—so organizations can move from pilots to real business value.