Summary: In 2026, L&D teams should focus AI energy on blending practical experimentation with human-led learning. Prioritise credible, skill-building tools, integrate AI into workflows, and design personalised, high-impact learning experiences. Discover how AI can enhance human connection, drive measurable skill growth, and shape the future L&D ecosystem.
Full article:
AI in L&D isn’t just hype anymore. It’s becoming a practical part of everyday learning. But with so many new tools and promises, where should your team focus its energy in 2026?
HowNow CEO Nelson sat down with Ross Garner (Chief Learning Officer at MindTools) and Ross Dickey (Learning Experience Consultant at MindTools) on the MindTools L&D podcast to discuss how AI is reshaping learning, the future role of L&D, and practical ways teams can start experimenting today.
From Experimentation to Everyday AI
Over half of L&D professionals are now actively using AI, moving well beyond experimentation. Anxiety about AI is completely normal.
"The only thing we can do is tinker, right? Just be the chief tinker officer in your organisation." – Nelson Sivalingam
Hands-on exploration is the key to building comfort. Early challenges are common. Many organisations still lack a visible AI strategy and struggle to show clear ROI.
"Don't bury your head in the sand or think that it's not going to amount to anything... just start tinkering with things, experimenting a bit, but also don't worry too much that everyone else is cooler... they're probably not." – Ross Dickey
So start small, experiment often, and don’t let FOMO drive decisions.
Beyond Content: From AI Slop to Skill
AI is moving on from just churning out content. The focus is now on real value and skill development. Advanced AI agents can handle multi-step workflows (think prompting practice before a meeting and reflection afterwards).
"It has to be underpinned by credible, referenceable IP and expertise." – Nelson Sivalingam
Human-AI collaboration is key. AI isn’t here to replace your people; it’s here to augment them. L&D teams should prioritise tools grounded in expertise to avoid “AI slop” and maximise meaningful outcomes.
"With AI, one of the things it's done is it's reduced that tolerance for anything that is generic and one size fits all... our tolerance is at the lowest it's ever been." – Nelson Sivalingam
Hyper-personalisation is no longer optional... it’s expected.
The Resurgence of Face-to-Face Learning
Even in an AI-driven world, human connection isn’t going away. There’s a renewed demand for instructor-led, in-person learning, especially as hybrid work makes these interactions rarer and more valued.
"The only other thing that can meet that demand [for personalisation] other than AI is humans. When I have a one-to-one interaction with a human, humans are pretty good at personalising the response instantly to my context." – Nelson Sivalingam
AI can scale practice and provide on-demand support, but humans bring empathy, context, and a sense of belonging that tech can’t replicate. A blended approach will be the way forward.
Navigating the Learning Vendor Landscape
The L&D software market is consolidating, with acquisitions creating larger “bundled” providers. But bigger isn’t always better.
"Now that said, I do think L&D leaders and generally anyone buying software needs to be very, very wary of this [market consolidation]." – Nelson Sivalingam
Modern APIs allow best-of-breed tools to integrate effectively, so focus on solving your team’s specific problems rather than being pushed into a one-size-fits-all suite. L&D is increasingly at the heart of organisational change, and strategic tool selection is critical.
"It's a huge change management channel. In some ways, that's what learning and development is about. And so that's why I do think this is prime time for kind of L and D and people teams." – Nelson Sivalingam
Looking Ahead to 2026: Learning as Work
The future of L&D blends learning seamlessly into work. AI will increasingly use work data (calendars, CRM, project tracking) to identify learning needs and generate practice in real time.
"We talk about learning and flow of work for many, many years now, but I think we're actually probably moving to a place where learning is work... work will be looked at as a learning problem." – Nelson Sivalingam
L&D’s role will shift from content creation to ecosystem design; architecting environments where AI and human support work seamlessly together. Structured learning paths will still matter for foundational knowledge, but on-demand, personalised learning will become the norm.
"I think L&D's role will very much be around designing and architecting that ecosystem where this sits in." – Nelson Sivalingam
"There's an exciting opportunity to give every single person at work their own [personal mentor] to really tap into what is possible with you. And I think that's what it looks like for us." – Nelson SivalingamThe vision is clear: hyper-personalised, expert-backed growth for every employee, powered by AI but guided by human expertise.
Practical Takeaways for L&D Teams
- Start tinkering: Encourage your team to experiment with AI. it’s the best way to build confidence.
- Prioritise credibility: Choose tools backed by trusted, verifiable knowledge.
- Champion integration: Focus on solutions that solve specific problems, regardless of vendor.
- Design for blend: Combine AI’s scale with the depth of human interaction for coaching, complex scenarios, and community building.
AI is no longer just a shiny toy. It’s shaping how learning happens, and L&D teams have a front-row seat to the evolution.
Want to explore how AI can transform learning in your organisation? Request a demo with HowNow learning experts: https://www.gethownow.com/book-demo


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