A learning culture is a pattern of daily behaviour. People ask questions, seek feedback, test ideas and discuss mistakes as part of normal work.
Programmes help. Behaviour, structures and rewards decide whether learning happens.
Garvin, Edmondson and Gino describe three building blocks: a supportive learning environment, concrete learning processes and leaders who reinforce learning.
Why it matters more now
AI is changing skills faster than training calendars. The Josh Bersin Company describes a shift "from static training to dynamic enablement".
People are already learning on their own. The University of Phoenix's 2026 Career Optimism Index found half of US workers are learning AI skills by themselves.
The question is whether the organisation captures and spreads that learning.
How curiosity gets killed
Most organisations dampen curiosity by accident. Someone asks a question and gets brushed aside. An experiment fails, and the conversation turns to blame.
People learn that asking and trying are risky.
Rewards often send the same message. Microsoft's 2026 Work Trend Index found only 13% are rewarded for reinvention when results are not met. Some 45% said sticking to current goals felt safer.
What leaders do
Model curiosity. Admit what you do not know, ask real questions in public and change your mind visibly.
Make questions safe. Thank people for questions, including basic ones. Say "I'm not sure either, let's find out."
Distinguish types of failure. Edmondson separates intelligent failures, which are thoughtful experiments in new territory, from avoidable mistakes. Treat the first as learning.
Recognise learning. Discuss questions asked, skills built and knowledge shared in performance conversations.
Build this capability in your organisation
Growth Performance designs bespoke programmes that turn insight into measurable behaviour change.
Structures that support learning
Time. Learning needs slack. Budgets without time produce frustration.
Reflection. Experience plus reflection produces learning. Tannenbaum and Cerasoli found well-run debriefs improved performance by around 20% to 25%.
Sharing. Use retrospectives, short case notes and communities of practice so one person's lesson reaches everyone.
Rituals. Try a monthly learning forum or a regular "what if" slot in team meetings to explore new tools and ideas.
Measuring it
Track how often teams run reviews and whether development goals describe behaviour. Add 360-degree feedback on learning behaviours and survey data on psychological safety.
Spreading what works
In AI-changed work, much of the gain comes from spreading good practice fast. Turning individual experiments into shared practice keeps the organisation ready for what comes next. That is Acceleration.
Try this
End your next team meeting with a five-minute learning harvest. What did we learn this week? What would we do differently? What worked unexpectedly well? Repeat it for a month.
Then take the free Growth Mindset Evaluator.