What's next in L&D: 5 signals from Learning Technologies London 2026
London in late April. Two packed days. Thousands of people and conversations. And a field that is...
The traditional L&D model of the content warehouse, building just-in-case training libraries, is no longer sustainable. In an era of rapid AI disruption, L&D must pivot from being a responsive order-taker to a strategic enablement partner.
However, moving to this strategic partner status requires us to address three systemic elephants in the room that often hold our profession back:
This does not mean speed is everything. Being too slow for the actual velocity of the business is a real risk for L&D. But speed alone is not the answer. Truly meaningful learning still requires time for reflection, practice, and sense-making. The challenge for L&D is not simply to move faster, but to find the right balance: keeping pace with the business while protecting the conditions that make learning stick.
By addressing these frictions, we can move toward building a new kind of performance ecosystems, shared spaces designed for sense-making, psychological safety, and rapid behavioral change where learning and doing are seamlessly integrated.
As AI automates the what (content generation), L&D must own the how (context and connection). The strategic partner focuses on three high-value areas that automation cannot replicate:
To transition out of a transactional role, use these two frameworks to filter incoming requests and design high-impact interventions.
A. The strategic shield (action mapping)
Before agreeing to build a course, anchor the request in performance. If a stakeholder asks for time management training, shift the conversation to:
Action Mapping was created by Cathy Moore as a visual approach to instructional design for the business world, first published in 2008 as a method for helping designers focus on measurable performance outcomes rather than information delivery. The approach draws on the established principles of performance consulting and backward design. Moore further developed and formalised the model in her 2017 book, Map It: The Hands-On Guide to Strategic Training Design (Montesa Press).
B. The adaptive action loop (the 10-minute retro)
Enablement happens when reflection becomes a habit. Integrate this three-question protocol into existing team rituals to foster continuous learning replacing low-value activities such as status updates:
The What, So what, Now what reflective framework was created by Terry Borton as a group facilitation technique in the 1970s, before being popularised as a reflective tool for clinical healthcare practitioners in the 1980s. The adaptive action framing, including the three-question structure, was further developed by Glenda H. Eoyang and Royce J. Holladay of the Human Systems Dynamics Institute.
The 5 moments of need - just-in-time support
Rather than relying on prerequisite courses, the 5 moments of need framework helps L&D identify the exact moment a worker struggles, for example when using a new procurement tool, and provide targeted support such as an AI assistant or checklist at that precise moment.
The five moments that occur in the flow of work are: new (learning something for the first time), more (expanding upon previous knowledge), apply (acting upon learned knowledge and skills), change (adapting knowledge to new trends), and solve (solving new problems when they arise).
The first two moments typically benefit from formal, structured learning, while the final three typically benefit from performance support and just-in-time information. Framework developed by Conrad Gottfredson with contributions from Bob Mosher.
The curated marketplace model - resource delivery
Rather than pushing a mandatory curriculum, the curated marketplace model shifts to a pull approach where employees access an ecosystem of tools based on their immediate project needs. Crucially, this is not an open-ended library, but an ecosystem curated by L&D with strategic intent, ensuring employee-driven choices remain aligned with organizational priorities.
Learning champions - scalability
Scaling L&D impact does not always require more central resources. By empowering local influencers within departments to act as learning champions, L&D can decentralize its reach and drive growth from within, effectively breaking down organizational silos from the inside out.
Human-AI collaboration matrix - prioritizing what AI vs humans do
Not all L&D work requires human judgment. By mapping tasks according to their complexity and human touch advantage, the human-AI collaboration matrix helps L&D teams identify which administrative tasks, such as reporting and scheduling, can be handed over to AI. This is not a cost-saving measure but a capacity-building one, freeing L&D professionals to focus on their highest-value role as strategic advisors. Framework by Brent Dykes (AnalyticsHero, LLC). See source.
Don't wait for a budget or a formal launch. This Monday, identify one recurring team meeting in your organization. Ask the lead if you can facilitate a 10-minute adaptive action retro (What? So what? Now what?) at the end of the session.
Observe the shift from passive attendance to active sense-making. How did the team respond to the shift from training to enablement?
This playbook was collaboratively developed by the L&D Leaders Community based on our discussions in our peer sessions in January 2026 covering this topic.
Do you want to be part of group of L&D Leaders co-creating the future of learning and change? Apply to join our community.
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