AI Job Risk Scanner

Our risk scores are derived from a composite model analyzing multiple data sources. We evaluate each job's core tasks against current AI and automation capabilities using O*NET task classifications, academic research on technological displacement, patent filings in relevant automation technologies, and real-world deployment data from industry reports. Each task is scored individually, then aggregated with weighting based on the proportion of work time that task represents. Scores range from 0 (minimal automation risk) to 100 (near-complete automation feasibility). For full details, visit our methodology page.

Risk assessments are updated on a quarterly basis to reflect new developments in AI capabilities, changes in industry adoption patterns, and updated labor market data. Significant breakthroughs or shifts in the technology landscape may trigger interim updates for affected job categories. Our data sources include the Bureau of Labor Statistics, O*NET, academic publications, and proprietary industry surveys.

A high risk score does not mean immediate job loss. It indicates that significant portions of the role's tasks are technically feasible to automate with current or near-term AI systems. We recommend three steps: First, review the task-level breakdown to understand which specific aspects of your work are most vulnerable. Second, invest in the recommended skills development areas, particularly those marked as critical priority. Third, explore the growing related roles section for adjacent career paths that leverage your existing expertise while incorporating skills that are more resistant to automation. Our full PDF reports provide personalized transition roadmaps.