We’ve made learning more efficient and less effective.

I read an article recently about social learning in L&D, and one line stuck with me: we’ve spent years optimising the delivery of learning, while quietly stripping away its context.

Better platforms. Better content. Faster access.

Now with AI, we can practise alone, get instant feedback, and summon answers on demand.

Useful? Yes.Enough? No.

Because learning isn’t just information transfer. It’s sense-making. And sense-making is social.

Most of what actually matters at work can’t be packaged into a module: judgement, timing, confidence, power dynamics, knowing when to push and when to pause. Those things are learned with other people, inside real situations, not in isolation.

This is why context matters so much to us at Wunderlab.

People don’t arrive at learning as clean slates. They arrive carrying the realities of their work and their lives. So yes, you can send Dave from accounts on a leadership programme in the US, but if he’s also firefighting a restructure and holding his team together, the question isn’t “is the programme good?” It’s “will this actually land?”

That’s not being soft. That’s being precise.

Too many organisational decisions are made in silos — learning here, strategy there — and we act surprised when well-designed initiatives turn into expensive theatre.

We start by understanding the business as a system: how decisions get made, where pressure sits, how people actually learn from one another. Because without context, even smart ideas lose their grip.

Learning works best when it’s shared, tested, argued with, and applied together.

Everything else is just noise.