By Rupert Hillier, CEO & Co-founder of Learnlight
Think about how much of your working week now runs through AI. Emails arrive that were clearly drafted by a machine, and many will drop them into Claude, generate a reply and send it straight back without a second thought. Presentations, documents and research that once took days of effort can now be produced in minutes, often from little more than a well-written prompt.
Organizations have invested heavily in this shift, and adoption has followed. PwC's Global Workforce Hopes and Fears Survey 2026, which polled nearly 50,000 workers across 48 countries, found that 64% had used AI at work in the past year, and more than one in five now use generative AI every day. In a remarkably short space of time, teams have developed a digital fluency like never before.
Yet business performance is still won or lost in the human moments, whether that's the pitch to a new client, the update to the board or the negotiation where trust ultimately decides the outcome. AI can help people prepare for those moments, but when they arrive, it is still the person in the room who has to carry them.
Human skills: in greater demand, but shorter supply
As AI takes on more of the work we have historically used to differentiate ourselves as professionals, the space left for human contribution is becoming narrower. It would be easy to conclude that this makes people less important, but I would argue the opposite. It comes down to the law of supply and demand: as the human share of work shrinks, the value of what remains rises. That remaining share is built on relationships, trust and judgement.
Employers appear to agree. In GMAC's 2026 Corporate Recruiters Survey of more than 600 recruiters across 39 countries, most of them at Global Fortune 500 companies, communication ranked among the capabilities employers weigh most heavily when hiring, even as AI skills saw the biggest rise in importance.
The difficulty is that while digital fluency has improved dramatically, interpersonal fluency has become something of an unexercised muscle. When AI drafts the email, builds the deck and summarizes the research, people get far fewer opportunities to work through their own thinking and explain it out loud. AI has also introduced a contrast effect that makes this gap much harder to overlook. When most work was of a broadly similar standard, a hesitant presentation rarely stood out, but now that the deck itself is polished, any weakness in delivery is immediately apparent to everyone in the room.
AI training is working, while also exposing a delivery gap
Across our client base, a clear pattern is emerging. Organizations that invested early and heavily in AI upskilling are now coming back to us with a different request: helping their people present, persuade and explain their thinking out loud. The wider market is moving in the same direction, with LinkedIn's Skills on the Rise 2026 report listing public speaking and executive and stakeholder communication among the fastest-growing skills.
One global technology company we work with used their L&D budget to focus almost entirely on helping its people use AI effectively, backed by a substantial program of AI training.
That training delivered real results, with noticeable improvements in written communication and in the quality of the presentations their teams were producing. As the decks improved, however, a growing awareness emerged across the business that there was still a significant gap in verbal communication, particularly when it came to delivering those presentations and articulating the ideas behind them with confidence.
They have since come back to us for help closing that gap. They did everything right with AI, and it was precisely the improvement in one area that made the shortfall in another impossible to ignore.
How to close the gap by coaching around real work
Closing the gap starts with understanding why it opened. Most communication training explains what good looks like, yet people only become confident communicators once a skill has been practised often enough to hold up under pressure, in a live meeting, or with a client pushing back. A one-off workshop rarely gets anyone to that point, and leaving people to figure it out on the job tends to produce mixed results at best.
The most effective development combines structure with real work, grounded in the foundations of language, intercultural empathy and interpersonal skill. At Learnlight, we design our training to sit alongside people's day-to-day responsibilities, so if a learner has an important presentation on Friday, they can use this week's session with their coach to rehearse it. Every session then builds capability while supporting real work.
Ironically, AI is also one of the best tools for closing the gap it helped expose. Practicing with an AI trainer gives people low-stakes repetition at a fraction of the cost of extra coaching hours, including for moments they haven't reached yet, such as an emerging leader rehearsing difficult feedback before they manage a team. By the time they sit down with a human coach, the session can move straight to refinement.
It also pays to measure the right thing. Completion rates show that people engaged with a program, but they reveal very little about whether someone presents with more confidence. Learner confidence ratings taken throughout a program, combined with what managers observe in real meetings, give a far clearer picture of whether the gap is closing.
For L&D leaders, a sensible starting point is to look at where AI upskilling has improved output and where live delivery hasn't kept pace, then tie coaching to the presentations and high-stakes conversations already in people's diaries.
When everyone has the same AI, your people become the differentiator
Organizations were right to invest in digital fluency, and AI will continue to produce better decks, documents and emails for years to come. However, once everyone has access to the same tools, that polish stops being a differentiator, and what sets businesses apart is how well their people show up when the deck is on screen and the client is listening.
The question every leader now needs to ask, then, is a simple one: having given your teams the tools to prepare, have you also given them the skills to perform?
About the author
Rupert Hillier is CEO and Co-Founder of Learnlight, a global organization that has spent 20 years helping professionals develop communication excellence through language fluency, intercultural intelligence and interpersonal skills training.