How to upskill IT for agentic AI: 7 pathways to success
Executive Take
IT skills are shifting from writing code to checking and governing what AI writes. CIOs who don't rebuild training and roles around review, governance, and judgment will fall behind on AI value capture.
Executive Summary
Citing Deloitte, Adobe, Atlassian and Karat surveys, CIO.com outlines seven IT upskilling tracks for agentic AI: business acumen for leaders, data governance, knowledge management, AI quality assurance, product/program management, junior developer training, and AgenticOps. Deloitte finds 75% of IT leaders say operating models must change within 12-18 months.
Why It Matters
HR and technology leaders need this because reskilling budgets and job architectures for engineers must change now, not after AI agents are already in production. GCC leaders should note offshore IT teams face the same shift toward review and governance roles.
Bizquad Perspective
Most CIOs are still budgeting for AI tool training when the real gap is redesigning jobs so review, judgment, and accountability replace routine coding work.