This pass grounds the site in public research rather than unsupported certainty. These are the core reports currently used across the job pages.
They provide the backbone for broad claims about exposure, augmentation, infrastructure constraints, advanced-economy versus lower-income rollout, and which broad occupation groups appear most vulnerable or resilient.
They do not individually forecast the fate of all 700 occupations on this site. Those page-level judgments remain interpretive arguments built on top of the research.
Task-level occupational exposure framework for generative AI, built from expert input and model predictions.
OPEN SOURCE ↗Finds clerical work is the most highly exposed occupational group and that augmentation is often more likely than full occupation automation.
OPEN SOURCE ↗Shows AI exposure is highest in many white-collar cognitive occupations, while manual occupations tend to have lower exposure.
OPEN SOURCE ↗Notes substantial automation risk remains, while observed labour-market effects remain mixed rather than universally destructive.
OPEN SOURCE ↗Advanced economies are more exposed to AI because they have more cognitive-intensive jobs; infrastructure and skills limit adoption elsewhere.
OPEN SOURCE ↗Argues advanced economies are better positioned to benefit from AI due to infrastructure, skills, and institutions.
OPEN SOURCE ↗Large-employer survey showing clerical roles among the fastest-declining and care, education, software and green-transition jobs among growth areas.
OPEN SOURCE ↗