To the Editor,

Newton already has a strong template for developing beginners. The city’s 2026 YouthWorks program paired six weeks of paid employment with career-competency workshops. Employers were expected to provide a designated supervisor, training and regular check-ins.

Stanford’s August employment update finds employment among U.S. workers ages 22–25 in highly AI-exposed occupations about 19% below the path implied by similarly aged workers in less-exposed occupations, largely through weaker hiring.

Newton employers should borrow Youthworks’ supervision structure for AI-enabled junior jobs. Give each beginner a named reviewer and hold a short weekly “AI failure clinic”: bring one output that was incomplete, overconfident or wrong, show the source check, and explain the repair.

By the end of a placement, the employee should own one real deliverable with minimal intervention. That progression gives supervisors a visible learning curve and gives junior workers something more valuable than tool familiarity: it gives them evidence that they can recover when the tool fails.

Gleb Tsipursky
Columbus, Ohio