How the channel uses upskilling In this channel's material, upskilling appears in the context of government adopting AI: rather than replacing workers as AI changes their jobs, the argument is to train existing workers so they can use the new tools and keep delivering services[^a4e2cb1a-b533-59c5-9766-cc27d015e765@79]. The concrete example: New Jersey New Jersey Governor Phil Murphy describes the state as an early mover on this front: it has trained 61,000 state employees in generative AI and uses the technology to improve services like call centers and unemployment insurance — with the explicit goal of upskilling workers rather than replacing them[^a4e2cb1a-b533-59c5-9766-cc27d015e765@79]. This pairs with his broader policy argument that AI governance should be handled at a national — if not international — level rather than state by state[^a4e2cb1a-b533-59c5-9766-cc27d015e765@23]. - Upskilling here means investing in training for current workers so they can use AI effectively.- New Jersey's example: 61,000 state employees trained in generative AI, applied to services such as call centers and unemployment insurance.- The framing is explicitly upskill, not replace — AI adoption and workforce development go together.