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Transformation Limits: Respect Human Cognitive Load Capacity

I’ve been thinking about a question we don’t ask often enough: Does an enterprise have a cognitive load capacity? Not in a technical sense - but a human one. Every new system, operating model, policy, dashboard, or AI tool asks people to relearn how work works. Individually, those changes may be reasonable. Collectively, they can become overwhelming. When too much change stacks at once, performance doesn’t just slow, it degrades. Confusion rises. Workarounds multiply. Good intent turns into quiet exhaustion. Maybe the real constraint on transformation isn’t budget or technology. Maybe it’s how much novelty an organization can absorb before it needs time to stabilize. As we adopt new tools and rethink how work gets done, I think we need to get better at: • Sequencing change, not piling it on • Protecting foundational understanding • Allowing time for integration before the next “next thing” Progress doesn’t always mean moving faster. Sometimes it means respecting the limits of human attention - and designing change accordingly. Curious how others think about this.