Who Will Train The Trainers? Solving The Capacity Crisis In AI Upskilling

Across universities, skilling programs, and corporate academies, educators are struggling to keep up with the velocity of change. The supply of skilled trainers who can translate algorithms into applied business value remains limited. There simply aren’t enough trainers who can bridge the gap between technology, business, and domain expertise. Most faculty members have little exposure to real-world AI projects. In fact, many trainers teaching AI today were trained in the pre-AI era. Many come from computer science or statistics backgrounds, and while they can explain algorithms, they can’t always contextualise and apply. At the same time, Technology is ever evolving. The Trainers struggle to keep up, and without constant industry exposure, they quickly fall behind.