Precision beats confidence when leaders talk about AI.

The audience for an executive AI statement already suspects the risks are understated. Confidence alone reads as spin.

Michael Reaney  ·  20 August 2026  ·  3 min read

An audience braced for spin

Teneo's Persuasion with Precision polled 2,004 UK adults, 102 MPs and 502 technology professionals. Among the technology professionals, 64% believe the public would be more worried about AI if it understood the technology fully, while 66% consider the public debate about it poorly informed.

The people closest to the technology, then, expect public concern to rise with public understanding. That changes what an executive statement on AI is up against. The audience is not neutral: it already suspects the risks are being understated, and a confidently reassuring claim tends to read as spin to people braced for spin.

The governance is still catching up

Muck Rack's State of AI in PR 2026, drawn from 564 professionals, found that 51% now work under a formal AI use policy, up from 21% two years ago. The direction is right, yet tool adoption has run well ahead of the rules beneath it. While that gap stays open, an organisation's public claims about AI rest on individual judgement rather than on a standard, and the leader's name is on the output either way.

What precision looks like

A precise statement describes what the organisation actually does with the technology, in claims that can be proven and that survive a follow-up question. It also carries a named human accountable for the text, which happens to be the same standard European transparency rules now point towards for AI-assisted content. Precision has a prerequisite, however: an executive can only be precise in public about a system they genuinely understand, so fluency comes before the statement, not after it.

How we think about it

Executive statements on AI pass through the same editorial gate as everything else we produce: a named person with the authority to change or stop the text reads every claim before it goes out. On AI the bar sits higher, because the audience starts from scepticism. In our experience the statements that hold up over time are drawn narrow and provable, while the broad, confident ones tend to age badly.