Technology budgets rose; training budgets often did not. Yet AI value depends on people who know when to trust a draft, when to verify, and how to redesign work around new tools.
Three layers of capability
- AI literacy: Limits, privacy, and verification habits for everyone.
- Role workflows: Job-specific playbooks with approved prompts and tools.
- Expert paths: Automation designers, evaluators, and stewards for power users.
Incentives beat mandatory training
Recognize teams that document before/after metrics. Pair early adopters with skeptics on real tickets, not synthetic exercises. Managers should model verification behavior publicly.
Protect institutional knowledge
As tasks automate, capture decision rationale in knowledge bases agents can query. Upskilling without documentation creates fragile automation.
Quarterly, review role charters: what humans alone must own versus what machines handle with oversight.