Learn how to protect your AI investment with moments from our latest Measured webinar, featuring insights from Tomáš Drozdek, Talent and Development Leader at Asahi.
Companies will spend $2.5 trillion on AI this year. And yet, in most organizations, the day-to-day reality looks something like this: a few enthusiastic early adopters, one person using it to turn their "per my last email" passive aggression into something HR-approved, and the rest quietly ignoring it altogether.
The tools are there. The budget was signed off. So why isn't anything changing?
That's exactly the question we put to Tomáš Drozdek in our recent webinar, AI Shift and Reskilling. And his answer reframed everything
It's not one initiative. It's a system change.
Tomáš was direct: AI adoption only works when three things move together. Skills, culture, and technology. Not in sequence. Not independently. Together.
He calls them pillars, and the insight that stuck with us most was this: the failure rarely comes from ignoring one pillar entirely. It comes from developing them unevenly. A company can pour investment into technology while culture stays frozen. Or run training after training while the actual work, the decisions, the processes, the daily habits, remains completely untouched.
That imbalance is where most AI strategies quietly fall apart.
AI adoption is not a one initiative; it's a system change. And from what we see, it only works where three areas move together: it’s skills, culture, and technology. And those areas—those pillars—are not independent. Often, the issue is not that companies ignore one pillar completely, but that they develop them unevenly.
We're training the wrong thing.
When organizations do invest in upskilling, Tomáš argues they're often missing the point.
People learn the tools. They complete the modules. They can name the features. But when they return to their desks, nothing fundamentally shifts in how they think about their work or make decisions.
His practical challenge to HR leaders: stop training tools. Start training how people think.
That's a harder brief. But it's the right one. Because AI's real value isn't in what it can do. It's in how it changes the way your people approach problems, spot patterns, and make calls.
When we talk about skills, we're not talking about technical knowledge. We're talking about a shift in thinking and decision-making. Please continue with trainings. But try to look at it from a wider perspective: don’t train tools; train how people think about their work.
Busy is not the same as better.
Perhaps the most uncomfortable insight from the session was this: activity is visible, but impact is not.
Tomáš described a pattern most of us will recognize. AI gets introduced. Usage ticks up. Leaders see the numbers and feel reassured. But when you look closely at how work is actually being done, the processes, the decision-making, the outputs, the shift is minimal. AI has become an extra layer, not an embedded part of how people work.
The result is a false sense of progress. And that's dangerous, because it delays the real work of transformation.
When you look at work, and how it’s actually done on a daily basis, the shift is often minimal. People might use AI occasionally, but it’s not changing how they fundamentally approach their work. That creates a false sense of progress, because activity is visible, but impact is not.
The conversation that started something bigger.
This webinar gave us a lot to think about. And honestly, it left us wanting more. More depth, more honesty, more of the conversations that HR professionals actually need to have.
So we're creating the space for exactly that.
Introducing Measured. Our new webinar series diving deep into HR and people science topics worth your time. No surface-level takes. Just the insights that help you lead with clarity and confidence.
To get a heads up on the next edition of Measured, make sure to follow us on LinkedIn.
The replay of AI Shift and Reskilling is available now. If you're navigating AI adoption in your organisation — or trying to make the case for doing it right — this one is worth your time.
