Erica Farmer argues the UK government’s free AI training platform is a useful signal, not a silver bullet. Without learning design, emotional reassurance and workplace context, ‘beginner’ pathways become friction, drop-off and inequality. Erica highlights L&D and HR must build an internal spine that turns content into confident behaviour change.
The UK government’s new free AI training platform has landed with a lot of fanfare. Social feeds have gone into celebration mode: “Finally! A national solution. Ten million workers upskilled by 2030. Sorted.”
“Free” doesn’t automatically mean “fit for purpose”
Except… this is where senior L&D and HR leaders need to stay sharp. Because “free” doesn’t automatically mean “fit for purpose”. And a public platform doesn’t replace an organisational strategy. In fact, if you’re not careful, this kind of initiative can accidentally create more confusion, widen capability gaps, and give exec teams a reason to stop investing in the real work of adoption.
I’ve been inside the platform. I’ve clicked around the pathways. I’ve followed the links. And what I saw wasn’t a coherent learning journey for the average employee. It was a patchwork of vendor-led content that assumes far more confidence, context, and patience than most people actually have.
Let’s talk about why that matters.
The problem isn’t access — it’s learning design
At surface level, it looks positive: anyone can sign up, there’s a “beginner” route, and there’s a mix of well-known providers. But when you go one level deeper, the cracks start to show. The platform asks you to pick a pathway (beginner/manager/leader/expert) and a handful of broad questions. Then it throws you into content that often jumps straight into things like data science, computational thinking, machine learning, and technical frameworks.
That’s not “beginner-friendly”. That’s “beginner-labelled”. Most employees who click “beginner” aren’t asking for a new discipline. They’re asking:
- What is generative AI in plain English?
- What’s safe to use at work?
- How do I use it to save time without feeling like I’m cheating?
- How do I apply it to my actual day job?
If you miss that foundation, you don’t build capability, you build drop-off.
The “average Joe” barrier is real (and it’s not about intelligence)
This platform assumes people learn well through self-directed e-learning, and that they’ll happily navigate multiple providers, logins, and interfaces. In reality, every extra step is a dropout point:
- Multiple passwords
- Multiple platforms
- Inconsistent course design
- Unclear progression
- Lots of “fee payable” surprises
That is not a learning pathway: its friction dressed up as choice. And if you care about inclusion (which you should), friction is the enemy. Not everyone learns best through long-form online modules. Many learners need social learning, practice, feedback, and reassurance, especially when the topic is emotionally loaded.
AI adoption is a hearts-and-minds challenge and this platform ignores that
Here’s the uncomfortable truth: the biggest blocker to AI adoption isn’t access to content. It’s fear, confidence, trust, and relevance. People aren’t only asking “How do I use AI?”. They’re quietly thinking:
- “Is this going to make me replaceable?”
- “Am I doing something unethical?”
- “Will my manager think I’m lazy?”
- “What if I get it wrong and get in trouble?”
The platform doesn’t meet learners where they are emotionally. It meets them where vendors want them to be commercially. And that matters because AI is arriving in a reversed way compared to past tech waves: employees are often experimenting at home first, then coming into the workplace with experience ahead of their managers. That creates a mismatch.
If someone completes a random online module, then returns to a workplace that doesn’t allow that tool, doesn’t understand the language, or hasn’t set expectations… you don’t get capability. You get frustration or quiet rule breaking.
This can widen the skills gap inside your organisation
If your most curious, confident people keep progressing, and your nervous majority gets overwhelmed and drops out, you’ve just increased inequality of capability.
This is how you end up with a small pocket of “AI people” and a larger group who feel left behind. That’s not transformation. That’s fragmentation.
“Free” isn’t a strategy and it’s definitely not a replacement for L&D
One of my biggest concerns is how quickly leaders might interpret this as: “Great, we can reduce our budget now.” That would be a mistake because capability doesn’t come from content libraries. It comes from behaviour change, and behaviour change needs:
- Clarity on what “good” looks like in your organisation
- Safe boundaries and policies people understand
- Role-based use cases aligned to real workflows
- Manager enablement (so learning isn’t dismissed)
- Practice, feedback, nudges, and reinforcement
National platforms can be a starting point. But they are not an operating model for adoption.
What should L&D and HR leaders do instead?
You don’t need to dismiss the platform. But you do need to contextualise it.
1) Treat it like a resource library, not a capability programme
Use it as optional supplementary learning, not your main approach. If you promote it internally, frame it clearly: “This is a menu, not a map.”
2) Build an “AI learning spine” inside your organisation
Create a simple, staged journey that starts with the basics and moves into role-specific practice:
- AI foundations (plain English and safe use)
- Everyday productivity use cases
- Judgement and critical thinking
- Team ways of working
- Leadership expectations and decision-making
3) Put learning science back into AI training
The best AI training isn’t content-heavy, it’s practice-oriented. People need to use the tools, try prompts, compare outputs, spot risks, and learn how to improve results.
This is where digital learning can work brilliantly, but only when it’s designed around real tasks and supported with coaching, peer learning, and accountability.
4) Don’t forget managers
If employees learn faster than leaders, leaders become blockers without meaning to. A response of “That’s nice” can kill confidence overnight. Manager enablement isn’t optional — it’s a dependency.
The bottom line
This platform is a decent signal that the UK is taking future skills seriously. But right now, it’s not the silver bullet people want it to be.
If you’re serious about adoption, don’t outsource responsibility to a national portal. Your organisation still needs a human, practical, confidence-building strategy for AI training that fits your culture, tools, risks, and people.
If anything, this is the moment for L&D and HR to step up, not step back.
Erica Farmer is AI and Future Skills Specialist, Co-Founder at Quantum Rise Talent Group and author of AI for People Professionals
For more on this check out this video post: Is the Government’s new AI Skills Platform any Good? In Conversation with Erica & Scotty
