What is the AI skills gap, and how do you close it?
The AI skills gap is the distance between the AI ability an organisation has and the ability its work now demands. You close it not with a burst of training but with continuous, practised capability: build AI use into daily work, measure the real gain, and keep the skill moving as the tools do.
The gap is widening because the tools improve faster than most training can keep up. Every model release raises the bar for what good AI use looks like, so a workforce that learned last year is already behind.
Closing it durably means treating capability as something you maintain, not a box you tick. Practice on real tasks, evidence of what changed, and a record that stays current are what keep the gap from reopening the moment a course ends.
Only briefly. A one-time push fades and the tools move on. The gap stays closed only with continuous practice and a living record of capability.