Workforce development boards are being asked to prepare learners for an economy that is changing faster than most curricula can keep up. Generative AI is already embedded in roles that didn't exist five years ago, and it's reshaping the day-to-day responsibilities of roles that have existed for decades. For workforce leaders, this raises a hard question: how do you prepare learners for jobs that are still being defined?
The answer starts with AI literacy. Not technical mastery — literacy. The ability to understand what AI is, where it shows up in work, what it does well, what it gets wrong, and how to use it responsibly. This is the baseline competency workforce boards should be building into every program, from career exploration to mid-career upskilling.
AI literacy should be treated the same way digital literacy was treated in the early 2000s: a cross-cutting skill that every learner needs, regardless of the career pathway they choose. Embedding it into existing programs is more effective — and more affordable — than launching standalone AI courses.
When workforce boards make AI literacy a foundation rather than an add-on, three things happen. Programs become more relevant to employers. Learners gain confidence that translates into better job outcomes. And the workforce system positions itself as a credible partner in the AI transition, not a follower trying to catch up.