US jobs market yet to be seriously disrupted by AI, finds Yale study (www.theguardian.com)

Yale University’s Budget Lab, working with Brookings economists, analyzed US labor statistics and found no “discernible disruption” to the occupational mix since ChatGPT’s debut in November 2022. Using changes in the types of jobs people hold as its primary metric, the study reports that shifts underway in 2021 continued but did not accelerate after the chatbot’s release. The authors note this is consistent with historical patterns: major technology-driven workforce changes often unfold over decades (computers took nearly a decade to reshape office work), so 33 months is too short a window to expect economy-wide upheaval. The finding matters because it challenges near-term alarmism about mass displacement from generative AI, even as sectoral signals—newspapers, film-making and business services such as accountancy—were already drifting toward automation before ChatGPT. The report does flag a divergence between recent graduates and older 25–34-year-olds, which could indicate early-career vulnerability or simply a cooling jobs market. In short, the data point to stability rather than immediate, large-scale job loss, but they also underscore the need for longer-term monitoring and targeted policies (retraining, labor-stat tracking) to support workers in sectors and career stages most likely to experience early impacts.