A practical reality in spring 2026: many students use AI tools whether schools have clear guidance or not. The teaching move is not surveillance theater; it is assignment design that makes learning visible.
Financial literacy classes are ideal for this because the target is reasoning under constraints: compare options, document assumptions, and justify tradeoffs. A generated paragraph is easy; a defensible decision trail is harder and more useful.
To protect teacher time, use lightweight guardrails: require a short disclosure line, require one handwritten or in-class reasoning checkpoint, and score the process artifact first. This lowers grading ambiguity and reduces the “was this AI?” policing loop.
This approach stays value-add for students too: they leave with decision skills that transfer to jobs, housing, borrowing, and everyday money choices, not just one assignment grade.
Three guardrails that fit real classroom workload
Disclosure rule: students note if AI helped with brainstorming, outlining, or editing. Normalize transparency instead of making it a confession ritual.
Process artifact: require one matrix, pros/cons table, or assumptions list completed in class.
Revision check: students explain one change they made after reviewing the first draft. Reflection proves thinking better than style checks.
Assessment language students can understand
Grade evidence of reasoning: Are assumptions clear? Are tradeoffs compared? Is the final choice justified against the stated goal?
Keep tool usage secondary: permitted with disclosure, but never a substitute for the decision artifact.