Are We Falling in Love with AI Solutions Instead of Solving the Real Learning Problem?

Erica reflects on Season 4 Episode 5 of the AI for the Average Joe podcast, with learning transfer expert Melanie Martinelli, where one idea stood out above everything else: “Fall in love with the problem, not the solution.”

For years, L&D teams have been told to innovate faster, personalise learning, and prove impact more effectively. Now, with the rise of Artificial Intelligence (AI), many organisations believe they’ve finally found the answer.

AI coaching. AI tutors. AI roleplay simulations. AI-powered analytics.

But here’s the uncomfortable truth: many organisations are still focusing on the solution before fully understanding the problem.

And why L&D and HR leaders need a mindset shift – now.

AI Is Transforming Learning Transfer – But Not Always in the Way We Think

There is no doubt that AI is creating exciting opportunities across Learning and Development and Corporate Training.

Tasks that once drained time and energy can now be streamlined dramatically. Analysing qualitative learner feedback, identifying themes from evaluation data, personalising learning support, or providing practice opportunities at scale are all becoming significantly easier with AI.

For many L&D professionals, this is transformational.

The challenge is that too many organisations are treating AI as a universal fix rather than a strategic tool.

AI coaching, for example, is currently one of the fastest-growing areas in AI Training and Leadership Development. On the surface, it makes perfect sense. AI can provide scalable practice environments for difficult conversations, negotiation skills, conflict management, or feedback coaching.

Traditionally, these experiences were expensive and difficult to scale. Executive coaching and actor-led roleplay were often reserved for senior leaders or small talent groups.

AI changes that.

But scalability alone does not guarantee transfer.

Learning Transfer Problems Are Rarely Just About Skills

One of the biggest mistakes organisations make is assuming poor transfer means employees simply need more practice.

Sometimes they do.

But often, the real barriers sit elsewhere.

Employees may lack manager support. Processes may actively block new behaviours. Teams may not have enough time, energy, or psychological safety to apply what they’ve learned.

No amount of AI coaching fixes a toxic environment or a disengaged leader.

This is where many AI implementation strategies start to wobble. Organisations become obsessed with deploying tools while ignoring the operational and human barriers sitting underneath the surface.

L&D leaders have spent years talking about learning in the flow of work. AI finally gives us the technology to support that ambition properly. Intelligent chatbots, contextual nudges, searchable knowledge support, and personalised reinforcement can all improve performance at the moment of need.

But if the workplace culture punishes experimentation or overloads employees with change fatigue, adoption will still stall.

Technology cannot compensate for broken systems.

The Real Opportunity for L&D Leaders

Ironically, AI may create the exact opportunity L&D has been asking for over the last decade.

For years, learning teams have been trapped in operational work:

Building slide decks
Formatting content
Manually analysing spreadsheets
Designing repetitive learning assets
Producing endless training materials.

AI can now automate or accelerate much of this work. That creates space for something more valuable:

Strategic conversations
Stakeholder influence
Needs analysis
Performance consulting
Business partnership.

The future of L&D is unlikely to belong to teams that simply produce content faster. It will belong to professionals who can connect business priorities, human behaviour, organisational culture, and technology together in meaningful ways.

This is where future skills matter more than ever:

Critical thinking
Learning agility
Ethical intelligence
Influence
Curiosity

The irony is that AI may finally force L&D to become the strategic function it has always wanted to be.

Why AI Adoption Often Fails

Many organisations still approach AI enablement as a technology rollout rather than a human change experience – that’s a major mistake.

Employees are not resisting AI because they are lazy or anti-innovation. Many are overwhelmed, uncertain, or quietly fearful about what AI means for their future.

Some are afraid to admit they don’t understand it, and others fear being judged for struggling. And younger employees are often under enormous pressure because organisations assume “digital natives” automatically know how to use AI effectively.

They don’t.

This is why psychological safety matters so much in AI adoption.

If employees feel embarrassed asking questions, worried about making mistakes, or anxious about looking behind, transfer will collapse before it even begins. L&D teams cannot simply push more tools into the organisation and hope people magically engage. They must create environments where experimentation feels safe, barriers can be discussed openly, and learning curves are normalised.

The AI Dividend Most Organisations Are Missing

One of the most important shifts organisations need to make is redefining success. Too many AI conversations still focus exclusively on productivity metrics. But employees are asking a more personal question: “What’s in it for me?”

This is where the idea of the AI Dividend becomes powerful.

When used well, AI does not just save time for the organisation. It can create more energy, headspace, confidence, creativity, and wellbeing for people: less repetitive admin, less cognitive overload. More time for meaningful work and more capacity for strategic thinking, collaboration, and even life outside work.

That human benefit is often the missing piece in AI adoption strategies. Because people rarely engage with transformation simply because leadership says they should. They engage when they can personally feel the value.

The Question L&D Should Ask First

Before launching another AI tool, learning programme, or digital platform, ask this:

What is the real barrier preventing people from applying what they learn?

Not the assumed barrier. The actual barrier.

Until organisations become better at properly diagnosing transfer challenges, they will continue throwing shiny solutions at the wrong problems. And AI deserves better than becoming another expensive learning fad.

If your organisation is exploring AI adoption, Leadership Development, or Learning Transfer Strategy, we help HR and L&D leaders create practical, people-first AI enablement that actually drives behaviour change.