A New Vision for the Learning Crisis

The end of 2024 brought us no grand educational reckoning, no moment of consensus that we need to reimagine how adults learn. Instead, through 2025, we’ve settled into a peculiarly quiet collective exhaustion with the pandemic’s educational experiments, paired with a creeping anxiety that something fundamental is still broken. Engagement in both formal higher education and continuing professional development has plateaued or declined. The traditional “one-size-fits-all” approach is increasingly ineffective (and if you don’t believe me, read here). Adult learners are disappearing from classrooms and online courses alike, not because they’ve stopped wanting to learn, but because the systems we’ve built — digital and physical — feel equally hollow. If you work in professional education and you want to be honest about it, instead of boasting that your teaching is doing very well and everything is fine, you’ll agree with me.

The post-pandemic moment matured with a paradox. For eighteen months, we were forced to ask: what is education, really? Without the scaffolding of campuses, institutional routine, and the simple act of being in the same room as another person, we discovered both what was essential and what was merely habit. Some learning thrived online. Some others withered. And when we returned to physical spaces, we didn’t return whole: we returned fractured, still uncertain, still half-expecting to be sent back home. If we returned at all.

What emerged from this rupture was not a consensus model but a market opportunity. The global continuing education market is valued at USD 70.74 billion (2025), with growth projected to USD 120.74 billion by 2030 (at least according to these guys). And while professional development is no longer optional — with emerging technologies like AI fundamentally changing the way you approach your craft — it’s a mandate disguised as personal responsibility. The World Economic Forum speaks of “lifelong learning” as though it were a virtue rather than a survival mechanism. Employers demand it; careers require it; and adults, bearing the weight of rapid technological change and economic precarity, have begun to see continuous learning not as enrichment but as necessity. And necessities are somehow always painful.

Here’s the rub: in the post-pandemic world, we still don’t have a coherent model for how to make adult learning actually work in a way that’s not just technically possible, but genuinely engaging, equitable, and credible.

I spent the past two years researching, experimenting and listening to experts on this topic, and I think that the future of adult learning lies not in choosing between competing visions — adaptive versus omnicomprehensive, digital versus human, asynchronous flexibility versus face-to-face connection — but in understanding how these three elements amplify each other. I bring you this argument and it will unfold in four pillars:

1. Game design as the engine of engagement and intrinsic motivation. Narrative, progression, and challenge don’t trivialise learning; they make it interesting for humans. Game designers are masters of engagement, and when a project has a clear purpose and story scaffolding, students connect more deeply to the work (see here for instance). . This is not gamification, as it’s often poorly understood as the cynical deployment of points and badges to manipulate behaviour. Rather, it’s the architectural principle that learning, like play, requires clear goals, meaningful progression, and the feeling of advancement.
2. AI-powered personalisation as the equity engine and accessibility layer. One-size-fits-all education has never worked, but personalisation at scale is impossible without intelligent systems. AI-powered adaptive learning systems tailor educational experiences to individual learner needs, dynamically adjusting based on learning style, pace, and comprehension levels, as Anna Paul explains very well here. For neurodivergent learners, for adults with competing demands on their time such as working parents or people caring for their elders, for those whose learning profile has never fit the standard mold, this is transformative. Generative AI’s potential to generate personalised content aligns with evidence-based approaches for supporting neurodiversity, such as differentiated instruction and individualised pacing.
3. High-value face-to-face gatherings as credibility checkpoints and community anchors. Not constant attendance, not exhausting synchronous marathons, but strategic in-person moments that deepen relationships, certify competence, and build the trust that online systems alone cannot. Face-to-face learning environments foster deeper engagement, meaningful interactions, and a stronger sense of community, with 58% of college students preferring the in-person/face-to-face modality, at least according to these guys.

When combined, I believe these three elements can create a learning ecosystem that is simultaneously more engaging, more equitable, and more credible than any of them alone. And crucially, adult learners — motivated by real professional stakes, impatient with waste, and hungry for genuine growth — are the perfect proving ground for this convergence.

If you ask me, the future of education isn’t technology replacing the human, or human connection resisting technology. It’s the thoughtful interplay between them: game design providing the narrative container, AI ensuring that each learner receives what they actually need, and in-person moments conferring the social capital and embodied knowledge that no algorithm can fully simulate.

It’s one of the reasons I’m in Denmark, these days, but that’s a story for another time. The education system isn’t working. Let’s build it properly this time.