AI is transforming every corner of business and Learning & Development is no exception. From content curation to personalised learning paths, the potential is huge. But with great power comes great complexity. For every exciting AI promise, there’s a real-world challenge that L&D leaders can’t afford to ignore.
At Expression for Growth, we believe in the power of innovation, but we also know that effective learning isn’t just about what’s possible, it’s about what works. Let’s cut through the hype and take a clear-eyed look at the real challenges of AI in L&D and how to navigate them.
Confusing Personalisation with True Impact
AI excels at recommending content, but does it actually change behaviour?
One of the biggest misconceptions is that content personalisation equals learning effectiveness. But real development isn’t about scrolling through tailored videos, it’s about embedding new habits, applying learning in context, and being held accountable over time.
Use AI for smart recommendations but combine it with coaching, feedback, and practice that brings learning to life.
The Data Dilemma
AI is only as good as the data it’s fed and, in many L&D teams, that data is patchy at best.
From outdated LMS systems to inconsistent feedback loops, it’s hard to train an algorithm on incomplete or biased data. And when AI decisions are based on flawed inputs, the output can reinforce — not solve — existing gaps.
Invest in clean, consistent, meaningful data — and don’t delegate decision-making to AI until you trust the foundation.
Losing the Human Connection
AI can deliver efficiency, but it can’t replace empathy.
One of the most powerful aspects of learning is human connection, the conversations that spark insight, the coaching that builds confidence, and the feedback that shifts perspective. When AI is overused, there's a risk that learning becomes transactional rather than transformational.
Let AI handle admin. Let people handle people. The best L&D experiences blend automation with authentic human engagement.
Speed vs Sustainability
AI can accelerate delivery, but can it sustain change?
In the race to keep up with trends, it’s tempting to roll out fast, scalable AI-driven learning. But speed doesn’t equal stickiness. Behavioural change takes time, reinforcement, and reflection — and AI can’t do that alone.
You can use AI to support long-term learning journeys, not shortcuts. Growth is still a process, not a plug-in.
AI is a powerful enabler. But it’s not a silver bullet. The future of learning will absolutely include AI, but the best results will come from thoughtful integration, not blind adoption. At Expression for Growth, we’re embracing the possibilities of AI while staying grounded in what we know works: real people, practical tools, and learning journeys that stick.
The question isn’t "How do we use AI?" — it’s "How do we use it well?"
If you want to equip your teams with the skills and mindset needed to create, communicate, and capture value efficiently, reach out to us. Contact us to discuss how we can assist you in achieving long-term business success.