Competency-based training still matters, but on its own, it’s not enough for digital skills. It does a great job of proving someone can perform a task under known conditions. The problem is that digital environments don’t stay consistent. Tools change, workflows shift, and AI introduces new layers of complexity. Learners can be “competent” in training and still struggle when those conditions change.
The gap isn’t in effort or ability; it’s in underlying understanding. That’s where capability comes in. Capability is what allows someone to adapt, question outputs, and transfer their skills into new or unfamiliar systems. It’s what keeps performance intact when the environment evolves. The takeaway is simple:
Keep competency as the outcome & start building capability as the method.
That shift is what turns short-term success into long-term effectiveness.
There’s nothing inherently wrong with competency-based training. In fact, it’s one of the strongest features of the Australian VET system. It gives us clarity. It defines expectations. It creates a shared understanding of what “good” looks like in the workplace.
But when it comes to digital skills, something isn’t quite lining up anymore.
Not in a dramatic, system-breaking way. More in the quiet, familiar sense that learners can complete the training, tick the boxes, and still feel uncertain when they hit the workplace. Or worse—they feel confident right up until the moment something changes.
And in digital environments, something always changes.
