The Potential Judgement Gap in Comms

The next phase of AI in communications won't be about whether the tools can write or recommend; they already can, well enough that fluent copy stops getting questioned. The real shift ahead is what happens to judgement once that friction disappears.

Watch for three things over the next year.

1. A widening gap between AI-polished output and human oversight. Teams publishing more, reviewing less, until a message goes out that reads fine but misses context a person would have caught: the wrong tone for a nervous workforce, a line that needed legal sign-off, a framing that lands as tone-deaf to a sceptical press. That gap tends to stay invisible right up until it isn't.
2. A thinning pipeline. Junior comms staff have historically built judgement by drafting badly, getting redlined, and learning why. If AI's first pass is good enough that nothing gets corrected, that formative friction vanishes and with it, the next generation of people who can spot a bad call before it becomes a headline. This won't show up as a crisis this quarter. It shows up in three to five years, as a bench with fewer people who know how to catch things.
3. Organisations could start testing for this directly. Organisations could start testing for this directly. Some will begin assessing judgement without AI in the room, for example, can someone still draft a clean crisis statement, or flag a risk, unassisted, as a hiring and promotion signal, not just a nice-to-have. We will see how transparency with AI use evolves with the new ‘watermarking’ that Claude has introduced.

None of this argues against using the tools. It argues for protecting the checkpoint: someone with real judgement reviewing what goes out, on purpose, before it reaches the world.