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When was the last time your organisation hired someone because of their job title and regretted it? Or promoted someone because they ticked the right boxes on a competency framework — only to watch them struggle the moment the situation got complicated?
These are not new problems. But at HR Week Europe this year, they came up in a new context — because AI is making the gap between job titles and actual capability impossible to ignore.
The idea is straightforward in theory. Instead of hiring and developing people based on their job title, organisations are beginning to identify the specific skills needed to solve specific problems and building their talent strategies around those skills instead.
In practice, this changes almost everything.
"Career growth will look less like a ladder and more like a toolkit," says Vitaliy Vasiliev, CEO of YAPPI, who attended HR Week Europe this year. "What will matter isn't just what your title is — it's what you can actually do and what problem you can solve."
For L&D professionals, this is where things get interesting and at the same time a little uncomfortable. Because the shift toward skills creates a real opportunity to build programmes that actually connect to business performance. But it also forces an honest look at how most existing programmes are designed, including language training.
The truth is, a lot of corporate English programmes are still built around levels and certificates. A B2 certificate tells you someone passed a test. It says nothing about whether they can actually function in the situations that matter — leading a negotiation, presenting to an international board, navigating a difficult client call across cultures and time zones. In a skills-based organisation, that gap starts being a real business problem.
The skills-over-roles conversation and the AI conversation are really the same conversation. As automation takes over more of the routine, predictable parts of knowledge work, one question keeps surfacing: what does that leave for humans to do?
At HR Week Europe, the answer was surprisingly consistent across very different speakers and industries. It's not technical expertise that's hardest to replicate. It's the messier, more human stuff — judgment, persuasion, the ability to read a room, the capacity to build trust with someone you've never met before.
"I expected more conversations about AI as a tool," says Vasiliev. "Instead, I heard more conversations about humans alongside AI. AI will soon generate more answers than we can keep up with. What will become scarce is human judgment: does this answer make sense? Who will it affect? What are we not seeing?"This plays out directly in communication. AI can draft an email, summarise a meeting, translate a document, and suggest the right phrasing for a business proposal. What it cannot do is
read the room in a negotiation, build genuine trust with a partner across cultures, or handle the nuance of a high-stakes conversation where what goes unsaid matters as much as what is said.
Iryna Lyalenko, Head of Sales and Customer Success at YAPPI, recalls: "Almost every speaker was saying the same thing: AI should be a facilitator of change — a tool that removes routine and frees up time for what truly matters: interaction, empathy, culture, and leadership."
Not everything at HR Week Europe was about the big picture. One of the most practical insights came from a different direction entirely.
Olga Martynova, COO of YAPPI, highlights an insight from Elke Geraerts, PhD in Psychology and Managing Partner of Better Minds at Work, that she considers one of the most practically useful from the entire conference:
"Focus is the new IQ. In a world of constant noise, attention is more than a soft skill — it's part of the result. Resilience is being redefined too. The question is no longer 'How much can you endure?' It's whether you understand where you're investing your energy — and whether you can protect that focus."
For anyone designing learning programmes, this is hard to ignore. Long sessions, dense content, passive listening — these formats are fighting against the reality of how people are actually showing up to work right now. The programmes that work are the ones that fit into real life: shorter, more frequent, built around content that feels relevant that week.
Language training is where all three of these conversations land at once — skills over roles, AI and human communication, and the attention economy.
Most corporate English programmes are still built around the old model: assign a level, follow a curriculum, complete the course. The outcome is measured in test scores and attendance rates. Whether any of it translates to actual performance is usually just assumed. That assumption is getting harder to get away with.
L&D leaders are being asked to show ROI, connect learning to business outcomes, and demonstrate that what people are practising in the classroom translates to what they need to do at work.
At YAPPI, this is the problem we have been working on directly. Our approach is built around English for Specific Purposes — starting with one question: what does this person actually need to be able to do? Everything follows from there.
In practice, that looks different depending on the team:
The industries we work with are pretty different from each other. But one thing is consistent: when learning feels relevant to the actual work, the motivation question disappears.
At YAPPI, we combine live teaching, our digital platform yCloud, interactive content through yBook and AI-powered practice tools to build programmes that connect directly to business performance.
We'd love to hear what your team is working on. Get in touch.
