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5 Things We Learned from the Human–AI High Performance Academy

Learning Experience

Over the past six weeks, more than 200 learning professionals joined the Human–AI High Performance Academy to explore a question many organisations are currently wrestling with:

What does it take to build a High Performance Academy in an AI-driven world?

Together, participants from 8+ countries shared more than 900 comments, challenged assumptions, debated ideas, and reflected on the realities they face in their own organisations.

While every organisation was different, a number of common themes emerged. Below, we’ve brought together the five biggest lessons from the conversations.

At a glance

Impact in numbers

200+

learning professionals

8+

countries represented

907

comments shared

Many sectors

healthcare, government, retail, education, finance and technology

1. Most academies are still measured by learning, not performance

One of the most recurring frustrations was surprisingly simple:

“We know how many people completed a course. We don’t know whether it made a difference.”

Participants described organisations with mature learning platforms, extensive content catalogues, and strong compliance processes. Yet many struggled to connect learning to business outcomes, capability growth, or improved performance.

A High Performance Academy is not defined by what it delivers, but by what changes as a result.

Reflection: If your most successful programme disappeared tomorrow, what business outcome would be affected?

2. Human judgement is becoming more valuable, not less

Many participants expected the Academy to focus primarily on AI tools. Instead, some of the richest discussions centred on human judgement.

While AI can generate content, analyse information, and automate routine work, participants consistently pointed to situations where context, ethics, trust, and experience matter most.

Several raised an interesting concern: if AI increasingly performs the work that helps us gain experience, how do we ensure people still develop judgement?

Rather than replacing expertise, AI appears to be increasing its importance.

Reflection: As AI becomes more capable, which human capabilities become more valuable in your organisation?

3. The biggest barriers are rarely technological

Most participants already had access to learning platforms, AI tools, and extensive content libraries. Yet technology was rarely identified as the biggest challenge.

Instead, conversations focused on siloed teams, fragmented ownership, competing priorities, and the difficulty of aligning learning with business needs.

Several participants admitted that introducing a new tool is often easier than changing how people collaborate.

Technology can accelerate progress, but it cannot create alignment.

Reflection: What is currently slowing progress most in your organisation: technology or alignment?

4. Learning happens through networks, not just programmes

When participants shared where they learn most, very few mentioned courses.

Instead, they talked about colleagues, communities of practice, peer networks, mentoring relationships, WhatsApp groups, and professional communities.

The most valuable learning often happened through conversations and shared problem-solving rather than formal training.

This raises an important question for academies: are we investing enough in the relationships that enable learning?

Reflection: Who do people in your organisation turn to when they need help solving a difficult problem?

5. The future belongs to hybrid intelligence

Perhaps the biggest shift throughout the Academy was how participants talked about AI.

At the start, the conversation focused on tools and use cases. By the end, it had shifted towards a much broader question:

How can people and technology work together effectively?

Participants shared examples of AI-assisted content creation, learning assistants, and personalised recommendations. At the same time, they stressed the importance of oversight, critical thinking, and responsible use.

The emerging vision was not AI replacing humans, but hybrid intelligence: combining the speed and scale of technology with human judgement, creativity, and context.

Reflection: Which activities in your academy should remain human-led, and which could be enhanced through technology?

What stood out most?

What stood out was not only the number of participants, but the quality of the conversations.

Over six weeks, 200+ learning professionals contributed 907 comments, sharing challenges, ideas, examples, and practical experiences from their own organisations.

Participants joined from healthcare, government, retail, technology, financial services, education, and many other sectors, bringing a wide range of perspectives to the discussion.

Most organisations already have many of the building blocks of a High Performance Academy.
The challenge is rarely starting from scratch. It is understanding where you are today and deciding what to strengthen next.

What’s next?

Where does your academy stand today?

The High Performance Academy Scan helps you understand your academy’s current maturity and identify where to focus next.

The scan looks at four key dimensions:

  • Human Capital — capabilities, mindset and judgement
  • Structural Capital — systems, processes and learning infrastructure
  • Relational Capital — networks, collaboration and knowledge sharing
  • Artificial Capital — AI, data and technology-enabled performance

Discover your strengths, development opportunities and next steps towards becoming a High Performance Academy.

Take the High Performance Academy Scan

Start with one simple question:
What is one thing we could do in the next 90 days to move your academy closer to enabling performance, not just learning?

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