Losing something human
At some point in the last year or two, most organizations moved fast on AI (tools, platforms, adoption programs) and in doing so, left a set of questions unanswered that their people are now navigating alone. Is it okay to use AI for this? Does the work still count as mine if it helped? Who’s accountable when something goes wrong?
Nobody had answers ready for them. So they filled in the blanks themselves.
Deloitte has a name for what accumulates when this goes unaddressed. Their 2026 Global Human Capital Trends report calls it cultural debt, the behavioral and relational fallout that builds up silently when organizations don’t pay attention to how AI is changing the norms around them. Like financial debt, it accrues interest. But unlike financial debt, most organizations aren’t even tracking it. 42% of workers say their organization rarely evaluates how AI is affecting people. Only 5% say they’re making real progress on managing that impact.
The number that really made us think though is this one: 80% of leaders say they’re worried their colleagues are using AI to appear more productive than they actually are. That’s clearly a trust problem, and trust is the foundation everything else in a learning culture is built on.
Cultural debt is a learning problem
When trust erodes, learning erodes with it. That’s not a philosophical point. It’s a practical one. Learning requires people to admit what they don’t know, ask for help, try things that might not work, and take feedback seriously. All of that depends on psychological safety, honest relationships, and a shared sense of what good work looks like. Cultural debt quietly dismantles each of those conditions, and most organizations won’t notice until the damage shows up somewhere else: in the quality of decisions, in disengagement, in the way people relate to each other.
At WeLearn, we think L&D has a specific role here that no other function is positioned to play. L&D understands how behavior changes. It understands what people need to think, feel, and do differently before anything shifts. And it understands that culture is not a values statement. It’s what people actually do when nobody is telling them what to do.
We wrote about the foundation of this in Learning is Human. The argument starts with a gap that was already widening before AI started accelerating it: 71% of workers want to learn from and connect with a human mentor or coach, and only 16% feel they have the support they need. Human connection isn’t a nice-to-have in learning. It’s the mechanism. Content without connection is just information, and information alone doesn’t change behavior, build judgment, or develop the kind of capability organizations are actually asking for.
Cultural debt is what happens when the conditions for that connection quietly deteriorate and nobody notices. We’ve seen what that looks like before.
In Human Skills Matter, we looked at what happened to human skills during the pandemic, when the conditions for practicing them (collaboration, feedback, regular human contact) were stripped away. Not a single skill had fully recovered to pre-2019 levels by 2025. Five years of erosion. These capabilities don’t maintain themselves. When the conditions disappear, the decline is faster than most organizations expect and slower to reverse than anyone wants.
AI is creating a new version of that same dynamic. Not by replacing people, but by changing the relational texture of work in ways that are hard to see until they’ve already taken hold. Accountability diffuses. Feedback becomes harder to give when you’re not sure how much of someone’s work is actually theirs. Honest communication, shared standards, the willingness to say something isn’t working. These erode without a single decision that caused it.
The organizations pulling ahead on this aren’t waiting for cultural debt to show up in their data. They’re asking what norms AI is creating by default, whether those are the norms they’d choose, and what role learning plays in shaping them deliberately.
That’s where L&D comes in. Getting into the conversations where norms are forming, helping people work through the questions their organizations haven’t answered, and designing the conditions that make honest, connected, accountable work possible. To us, that’s what human-centered learning strategy actually means. Cultural debt just made it more urgent.
