AI LEARNING LAB / PERSPECTIVES

How Will We Learn in an Agentic World of Work?

Four hypotheses challenging the future of Learning & Development.

Artificial intelligence is changing more than how we learn. It is reshaping what people need to learn, how capabilities are demonstrated, and where Learning & Development creates value.

What does this mean for organisations, corporate academies and learning providers?

Four hypotheses guide our exploration at AI LEARNING LAB. They are not predictions. They are starting points for challenging established assumptions about learning.

01

AI Can Accelerate Learning. Or Undermine It.

AI can provide personalised explanations, immediate feedback and adaptive learning support. Yet it can also take over the cognitive effort that people need to develop lasting understanding.

The critical question is not how much AI we introduce into learning, but how we design learning experiences that genuinely build human capabilities.

What should AI take off our hands – and what cognitive work must remain ours?

02

When AI Becomes a Collaborator, We Need to Rethink Competence.

When people work alongside AI, the final output tells us less about what they can actually do.

Domain expertise remains essential. But judgement, critical evaluation and the responsible orchestration of AI become increasingly important. This also challenges how we assess and demonstrate capabilities.

What must people be able to do independently – and what must they be able to achieve with AI?

03

Learning Is Moving Beyond the Course. But Not Beyond Learning Design.

AI can make learning support available at the very moment a real challenge emerges at work.

This creates new opportunities for personalised, self-directed learning. But autonomy does not emerge automatically. It requires guidance, meaningful assessment, feedback and intentionally designed learning experiences.

What happens to traditional learning programmes when learning becomes embedded in everyday work?

04

Learning & Development May Not Lose Value. But Where That Value Is Created Could Change.

As AI makes knowledge, explanations and personalised support increasingly accessible, traditional offerings from academies and learning providers come under pressure.

At the same time, learning design, real-world application, human experience, quality assurance and capability assessment may become more valuable.

What will organisations pay for in the future – and what value must Learning & Development create itself?

From Challenging Assumptions to Designing What Comes Next

These hypotheses are the starting point for AI LEARNING LAB.

At AI LEARNING LAB, companies and corporate academies bring their existing learning models into the conversation, stress-test them against emerging developments and explore which assumptions may no longer hold.

Our goal is not to predict the future. It is to make today’s decisions more future-ready.

Explore the research and evidence behind these hypotheses in our Context Paper, “Learning in the Age of AI”.

Explore the Context Paper ↗