How AI tools will increase the effectiveness of leadership development training

Artificial intelligence is beginning to change many aspects of working life. Leadership development will be no exception.

But perhaps the greatest opportunity isn’t using AI to replace trainers or coaches. It is using AI to help people apply their learning more effectively - while making the human elements of leadership development, including one-to-one coaching, even more valuable.

The challenge isn’t learning - it’s applying the learning

Well-designed leadership programmes already create valuable learning experiences. Participants explore new ideas, practise skills, receive feedback and reflect on how they lead.

The bigger challenge often comes afterwards.

People return to busy working environments. Notes remain unread. Action plans are overtaken by immediate priorities. New behaviours compete with established habits.

This creates the familiar learning-transfer gap: the difference between understanding something during a development programme and consistently doing something differently as a result.

AI has the potential to help close that gap.

Extending learning beyond the training room

Consider someone attending a module on delegation. During the session, they recognise that they are holding on to too much work and commit to delegating greater responsibility to their team.

An AI-enabled learning tool could subsequently prompt them to revisit that commitment, reflect on what happened when they tried it, explore what they might do differently and prepare for their next conversation.

Rather than learning being concentrated around individual workshops, AI can help create a continuous cycle of learning, application, reflection and further action.

Personalisation between programme modules

Everyone attending a leadership programme brings different challenges.

One participant may be learning to delegate. Another may need greater confidence influencing senior colleagues. Someone else may be navigating conflict or leading their team through organisational change.

AI creates an opportunity to personalise the learning that happens between programme modules.

Participants can explore the programme content in the context of their own challenges, revisit particular concepts and receive prompts to reflect on how they are applying their learning.

This doesn’t require abandoning the cohort experience. Quite the opposite. The shared learning, discussion and challenge created by a group remain extremely important.

AI simply provides another layer of support between those human interactions.

And what about coaching?

This is where an important distinction needs to be made.

AI can ask questions, provide prompts, help someone prepare for a conversation and encourage reflection.

But that doesn’t make it a replacement for a skilled coach.

One-to-one coaching creates a very different development experience.

A good coach develops a relationship with the individual. They listen not simply to what is being said, but to what may not be being said. They notice patterns, challenge assumptions, explore ambiguity and this may sometimes take a conversation where neither person expected it to go.

There is also something powerful about being challenged by another human being who has developed an understanding of you, your aspirations and the context in which you lead.

AI can make reflection more readily available. Coaching can make that reflection deeper.

The opportunity, therefore, is not to choose between AI and coaching. It is to use them intelligently together.

AI might help a participant capture experiences and questions as they arise between programme sessions. A subsequent coaching conversation can then explore the most important of those experiences in considerably greater depth.

Used this way, AI could actually increase the value of coaching rather than diminish it.

More opportunities to practice

AI also creates interesting possibilities for rehearsal.

Leadership involves conversations that people often find difficult: giving feedback, addressing poor performance, managing conflict, influencing stakeholders or communicating difficult decisions.

AI can provide a low-risk environment in which participants practise these conversations before having them for real.

It doesn’t replace practising with colleagues, trainers or coaches. But it can dramatically increase the number of opportunities someone has to practise.

And practice matters.

Keeping the human experience at the centre

The most effective leadership development combines different forms of learning.

  • The facilitator creates an environment for challenge, discussion and experimentation.
  • The cohort provides shared experience and peer learning.
  • One-to-one coaching provides depth, challenge and highly individualised development.
  • And increasingly, AI can provide accessible support, practice and reflection between those interactions.

Each performs a different role.

That distinction will become increasingly important as organisations decide where and how to introduce AI into leadership development.

From training events to continuous development

Perhaps the biggest opportunity is to rethink leadership development as something that happens continuously rather than primarily when people attend a workshop.

A training session might last half a day.

The opportunities to practise and apply what was learned occur every day afterwards.

Used thoughtfully, AI can help connect those two worlds - reminding people of commitments, encouraging reflection, supporting practice and helping them prepare for the next conversation with their trainer, manager or coach.

The future of leadership development therefore doesn’t need to be human or AI.

It can be a much more powerful combination of human expertise, coaching, shared learning and intelligent technology.

The Beyond Theory approach

At Beyond Theory, we believe the real value of leadership development is created when learning moves beyond the training room and becomes part of how people lead every day. That means combining high-quality facilitated learning with opportunities to practise, reflect, receive feedback and, where appropriate, work more deeply with a coach.

We achieve this with our own fully developed learning system providing a channel through which materials are shared and feedback provided.

We are now exploring how AI and intelligent learning technology can strengthen that process - helping participants stay connected to their development between programme sessions, reflect on real leadership experiences, practise new approaches and turn intentions into action. We don’t see technology replacing the relationships at the heart of great leadership development. We see it helping those relationships - with trainers, colleagues and coaches - become even more effective.

Because ultimately, the measure of a successful leadership programme isn’t simply what people learn.

It’s what they do differently as a result.


Ian Burnley

Ian Burnley MA MSc ACA

Managing Director, Beyond Theory

Ian coaches senior and emerging leaders and is a Director of the international coaching firm atd partners, where he leads the commercial and technology activities.


Related blog articles:

The forgetting curve - what it is and how our training helps you overcome it

Introducing a culture of coaching in your organisation

Become a coach rather than a critic

Top tips for difficult conversations

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