How to upskill IT for agentic AI: 7 pathways to success

As agentic AI moves from pilots to production, CIOs must redesign IT operating models and upskill teams for a world where humans increasingly validate, govern, and orchestrate AI outputs rather than perform routine execution. The biggest strategic implications are a stronger focus on business acumen, change management, data and AI governance, and knowledge/context engineering so IT can safely scale autonomous workflows, improve adoption, and convert AI from productivity experiments into measurable business value.