The Legibility Gap: Why AI Transparency Isn't Automatic

Every enterprise AI pitch promises the same thing: Better visibility. Faster insight. Real-time alignment. And technically, that's true. AI can surface what's happening across an organization — in meetings, workflows, decision chains — faster than any human process ever could.

But here's the part that doesn't make the slide: Visibility isn't the same as understanding.

Right now, most companies are generating enormous new surfaces of information. Transcripts. Summaries. Dashboards. Automated updates. Decision logs. The data exists. It's accessible. It's everywhere.

And people are still asking: What does this actually mean for me?

That's the Legibility Gap — the distance between what AI makes visible and what people can actually make sense of. It's the difference between a dashboard full of signals and a workforce that knows how to act on them.

There's already a real-world example worth studying.

In early 2024, Klarna deployed an AI assistant that handled two-thirds of its customer service chats within the first month — 2.3 million conversations, the equivalent workload of 700 full-time agents, with resolution times dropping from 11 minutes to under two. By the numbers, it was a breakthrough.

But by mid-2025, the company had shifted course. Customer satisfaction had declined, and Klarna began reinvesting in human agents. Their spokesperson told CX Dive the company was "doubling down on the human side of service — empathy, expertise, and real conversations." The CEO, who had previously championed an AI-first model, acknowledged that customers needed a clear path back to a person.

This isn't a failure story. Klarna moved faster than almost anyone and learned something most companies haven't encountered yet: speed and visibility alone don't create understanding. The AI surfaced information. It resolved tickets. It produced data at scale. What it couldn't do on its own was make that experience feel coherent — to customers or to the internal teams scrambling to support a system that had outpaced its own communication layer.

That's the Legibility Gap in action.

And this gap doesn't close with better tools. It closes with better communication. Because the hard part was never capturing what's happening. The hard part is making it make sense to the people who need to move. That requires framing, context, and translation — knowing which audience needs which version of the truth and why. That's communications work. It always has been.

The organizations that get this right won't just move faster. They'll be the ones where people actually understand why they're moving and where they're going.

The ones that don't? They'll have more visibility than ever and less alignment than before.

AI opened the window. Communications is what makes the view usable.

Sources: Klarna International press release, February 2024; CX Dive, "Klarna changes its AI tune and again recruits humans for customer service," May 2025; Fast Company, "Klarna tried to replace its workforce with AI," January 2026.