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Upskilling Is Built for an Imaginary Employee

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18.03.2026

What Is Neurodiversity?

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Companies are investing heavily in upskilling, but results are uneven.

Training works best when it is relevant to how individuals actually learn.

Cognitive diversity means people process and demonstrate learning differently.

Designing learning to include different cognitive styles improves outcomes for everyone.

Upskilling has become one of the defining business priorities of our time. With AI reshaping roles faster than hiring cycles can keep pace, and the World Economic Forum projecting that nearly half of all workers' core skills will be disrupted by 2027, organizations are right to treat workforce development as urgent. Indeed, US companies alone now spend close to $100 billion annually on employee training. The intent is evidently there. The impact, though, is not.

The Signal You Should Not Ignore

The data on employee satisfaction with upskilling tells an interesting story. Research consistently shows that the relevance of training to the individual learner (“is this actually helping me?”) is the number-one driver of whether that training works. Training programs are likely significantly more effective when they align with employees’ development needs and receive active managerial support. When programs feel generic or disconnected from how people actually think and work, employees go through the motions – and investment in learning ends up not paying off.

Executives don't need to conclude that upskilling is necessarily failing wholesale. But they should be alert to the real possibility that for a meaningful portion of their workforce, a substantial share of that investment may be missing the mark — and the reasons why are hiding in plain sight.

The Overlooked Variable: How People Are Wired

Most upskilling programs are built around a base assumption of sameness: i.e., that the people going through them learn in roughly the same way. Same format,........

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