Everyone must keep learning. Is your organisation designed for it?

Organisations increasingly expect people to learn continuously, adapt quickly and take responsibility for their own development. AI is intensifying that pressure as roles, tasks and ways of working change.

But there is a contradiction. We expect people to keep learning while everyday work is still organised around immediate demands, full calendars and short-term targets. Where, exactly, is that learning supposed to happen?

According to Hertta Vuorenmaa, University Lecturer in Management and Organisation at Hanken School of Economics, the problem is not necessarily people’s willingness to develop. It is whether work has been designed to make development possible. Her research on top management in Finnish organisations points to considerable differences in how well learning is integrated into work itself. 

“The biggest challenge is often the gap between what we expect from people and the opportunities and organisational structures we actually create them to learn.”  

Learning cannot be added on top of work

Continuous learning is often discussed as an individual responsibility. People need to develop new skills, stay curious and adapt to change. But learning is also a systems question.

If the structures, practices and content of work are changing at the same time, capability development cannot be treated as a separate HR initiative. According to Hertta, organisations need to look at the conditions surrounding learning:

“You have to look at the whole system. Who do you recruit? How do you develop people? What do you reward? What do job descriptions encourage people to do?” 

Part of that system design is creating space for learning, both within and outside everyday work.

Formal development programmes can give people the opportunity to step back from immediate demands, encounter new research and perspectives, challenge assumptions and look at familiar business problems differently. But the wider impact is determined by what happens afterwards.  

When people bring new perspectives back to colleagues and leadership, apply them to real business challenges, exchange knowledge and experiment with new approaches, individual learning can begin to strengthen organisational capability.  

Training creates an opportunity to learn. Organisational capability develops when learning starts to influence how people think, decide and work.

AI can accelerate work without developing capability

AI brings the difference between efficiency and learning into sharp focus.

Imagine a specialist asking AI to analyse customer feedback and recommend actions. Within seconds, they have a convincing summary and a list of recommendations. The task has become significantly faster.  

But there is another question: what has the person learned?

Can they judge whether the conclusions are sound? Can they recognise what the analysis may have missed? Do they understand why the recommended actions make sense?

If the person does not have sufficient understanding of the subject, an AI-generated answer can appear convincing even when its reasoning is flawed. The work gets done faster, but the person's own thinking does not necessarily develop.  

“We should not measure AI only by the time it saves. We also need to examine the quality of the decisions it produces and what happens to people’s capabilities.”  

The issue becomes particularly important when AI starts performing tasks through which people have traditionally learned the foundations of their profession. If those opportunities disappear, organisations need to think deliberately about how future experts will develop the judgement needed for more complex work.  

But AI does not have to weaken learning. It can also support it.

Hertta has seen this in her own teaching. An AI-based tool created by Ville Eloranta (Aalto University) helped students reflect on their team dynamics, including how team members might respond to conflict and what approaches could help them navigate it. Rather than simply accepting or rejecting the assessment, students discussed where it resonated and where it did not.  

The distinction is important: AI can be a tool for reflection, not an oracle with the final answer. 

The same principle applies in organisations. 

“The value of AI is not only in how much it can do for us, but also in the thinking and conversations it could enable – and how it could free up time for thinking and working together.”

Learning belongs in business and leadership decisions

If continuous learning is becoming a requirement of working life, organisations have a responsibility to make it possible.  

“Leadership teams are accustomed to asking whether targets have been met. But learning deserves a place in the same conversation, and we should find ways to measure it: What have we learned? What do we not yet understand? What should we change as a result?”  

That also requires leaders to examine their own assumptions. Organisational learning becomes difficult if people are encouraged to rethink their work while leadership continues to operate according to the same underlying assumptions.  

When learning begins to influence decisions and ways of working, it becomes more than individual development. It strengthens the organisation’s ability to adapt and renew itself. 

And perhaps that is the real challenge ahead.

The future HR challenge may be less about getting people to learn more and more about building organisations that are capable of learning.  

Is your organisation designed to learn?

At Hanken & SSE, we connect learning and leadership development with real strategic challenges. Let’s explore the capabilities your organisation needs to adapt, perform and renew.