Young workers in the most AI-exposed jobs fall 19 percent behind as Cheshire Academy marks every assignment green, yellow or red
An updated Stanford study finds workers aged 22 to 25 in the most AI-exposed occupations sit 19 percent below less exposed peers, against 13 percent a year earlier. Cheshire Academy marks each assignment green, yellow or red.
Artificial Intelligence··Morning
Young workers in AI-exposed jobs sit 19 percent behind
An updated Stanford study, drawing on a large subsample of anonymised payroll data from the human resources company ADP, finds that employment for workers aged 22 to 25 in the most AI-exposed occupations now sits 19 percent below their peers in less exposed fields, against a gap of 13 percent a year earlier. Across the economy as a whole the difference is close to nothing. Since 2022, employment in that age band has fallen about 11 percent in the top 40 percent of AI-impacted jobs and grown 10 percent in the least affected 60 percent. The researchers point to slower hiring rather than firings or pay levels. Occupations where the Anthropic Economic Index shows automation rather than assistance, such as accountants and receptionists, show the weakest entry-level employment.[1]
Cheshire Academy marks every assignment green, yellow or red
Cheshire Academy, a Connecticut school of about 400 students in grades 9 to 12, labels each assignment with a traffic-light rule rather than banning AI outright: green allows any tool, yellow permits some and restricts others, red allows none. French teacher Miriam Przybyla-Baum sets tasks in which students judge the model's edits and separate machine text from their own writing, and the school has started a student council that makes media and leads discussions on how classmates use the tools. Teachers there work with MagicSchool, an education platform that drafts assignments, marking rubrics and lesson plans; an individual licence costs just under 100 dollars a year.[2]
Luis DeSantiago found a sexualised image of himself on TikTok
Four teachers told WIRED that students made sexualised photos and videos of them, apparently with AI tools, and that finding anyone accountable was slow and largely fruitless. Luis DeSantiago, a substitute teacher in Los Banos, California, learned on 12 March that an image resembling an old selfie of his, altered to show him in lingerie, was circulating on TikTok. A student who admitted making it was given in-school suspension, another set up an account impersonating him with a misspelled version of his name, and the picture kept spreading across two schools and onto Snapchat. He told administrators he would take no assignments at the middle school until the matter was settled and says he is unlikely to return to the district this year; the district did not answer WIRED's request for comment.[3]
