Edtech provider Chegg announced cuts of roughly 45% of its workforce as it restructures amid falling traffic and competition from AI search tools. The company said it will refocus on business‑to‑business language and workforce training products while reducing costs and reshaping leadership. The layoffs signal pressure across the education‑technology sector as large platforms offer free or competing AI features. At the same time, secondary schools are increasingly teaching the mathematics behind machine learning. High‑school teachers reported students developing simple, domain‑specific models in class—preparing learners to construct AI tools rather than just use them. The juxtaposition—industry consolidation and student‑side capacity building—highlights shifting skill demands and economic pressures for higher‑education partners who rely on third‑party edtech vendors.