Photo by Jose Ruales on Unsplash
Artificial Intelligence is everywhere: on our newsfeeds, in our workplaces, and increasingly in our classrooms. But beyond the buzz, a real question remains: how are organisations actually managing to scale AI, and what does that mean for the future of Vocational Education and Training?
A recent McKinsey report offers a revealing snapshot of where things stand. Almost all organisations now use AI in some form, yet nearly two‑thirds are still stuck in the experimentation or piloting phase, far from achieving enterprise‑wide impact.
For us in the DIVETOUR2 project, where we mix edutainment with critical AI literacy, these findings feel especially relevant.
The Ambition Gap: Why Scaling AI Is Still So Hard
Experimenting with AI is easy. Scaling it is not. According to the report, only about one‑third of organisations have begun to scale their AI initiatives in a meaningful way.
For VET educators, this gap is more than a statistic—it’s a signal. Learners are entering a labour market where companies are still figuring out how to move from “trying AI” to “transforming with AI.” Through hands‑on tools like the DIVETOUR2 blended board game, we can help students build the confidence and practical skills that employers increasingly need.
Why Innovation Matters More Than Efficiency
Many organisations start their AI journey hoping to cut costs. But the report shows that the real gains come when leaders aim higher. High‑performing companies:
– Set growth and innovation as their primary AI goals;
– Use AI to redesign workflows, not just automate old ones;
– Communicate a clear, transformative vision that brings people along.
This aligns closely with the DIVETOUR2 approach. We don’t just teach prompt techniques—we encourage learners to rethink how technology can support creativity, inclusion, and problem‑solving.
Managing Risks: Why Human Judgment Still Matters
The report highlights a challenge many organisations are already facing: inaccuracy is the most common AI‑related risk, with 30% reporting negative consequences.
The companies handling this best have something in common: they rely on human validation at key points. In DIVETOUR2, we frame this through the lens of Diversity, Equity, and Inclusion. AI can amplify stereotypes if left unchecked, so we train educators and learners to question outputs, spot bias, and bring human judgment back into the loop.
Preparing the Workforce for a Changing Landscape
AI is reshaping roles across industries—from marketing to customer care. While many organisations expect stable headcounts, nearly a third anticipate reductions of 3% or more.
To navigate this shift, learners need hybrid intelligence: the ability to combine digital tools with human insight. Through Universal Design for Learning and accessible communication, DIVETOUR2 ensures that everyone, regardless of background, can develop these emerging skills.