AI job displacement
A change in labor demand caused by AI systems taking over, compressing, or redesigning parts of a job. It does not always mean a full job disappears; often the task mix changes first.
AI job displacement glossary
Use these definitions to interpret occupation pages, calculator results, task exposure scores, and transition planning recommendations on displacement.ai.
Task exposure
The degree to which current AI systems can materially affect a task, such as drafting, summarizing, classifying, searching, coding, routing, or analyzing information.
Automation pressure
The likelihood that an exposed task can move from a worker to software after workflow integration, quality controls, and employer adoption.
Augmentation potential
The opportunity for AI to help workers complete a task faster or better while keeping humans accountable for judgment, context, and outcomes.
Displacement pressure
A blended planning score that combines exposure, automation, augmentation, wage vulnerability, transition feasibility, and confidence signals.
Wage vulnerability
The risk that workers in a role have limited wage buffer or weak bargaining power if parts of the job are automated, outsourced, or redesigned.
Transition feasibility
The estimated practicality of moving from one role into adjacent roles while preserving existing skills, salary, and career identity.
Adjacent career path
A role that reuses meaningful parts of a worker's current knowledge while adding a smaller number of new skills, credentials, tools, or work samples.
AI-resilient career
Work where AI can help, but where human judgment, physical context, licensing, trust, live coordination, or accountability remains central.
Source confidence
A signal for how much weight to put on a score based on available public evidence, task clarity, labor-market data, and uncertainty around adoption.
How these terms work together
A useful AI career plan starts by separating exposure from displacement. Many jobs are exposed to AI because they include language, analysis, lookup, or reporting tasks. Fewer jobs are immediately automatable end to end. The difference matters because an exposed task may become a productivity tool, a quality-control workflow, a redesigned role, or a fully automated process.
displacement.ai uses these terms to avoid fear-based conclusions. The question is not simply whether AI can do part of a job. The better question is which responsibilities remain valuable, which adjacent roles preserve wage and skill overlap, and what proof a worker can build in the next 90 days.