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How we analyze job roles for AI automation potential using research-backed frameworks and real-world AI capability assessment.
Our analysis framework evaluates roles across 27 skill dimensions, grouped into Technical Skills, Cognitive Tasks, Interpersonal Skills, and Industry-Specific Competencies. Each dimension is scored based on current AI capabilities and projected advancements.
We break down your job title into 27 distinct skill dimensions using the JTBD (Jobs-to-be-Done) framework. This includes technical skills, soft skills, and industry-specific competencies.
Each skill is evaluated against current AI capabilities using our proprietary matching algorithm. We consider the latest advances in LLMs, computer vision, and robotic process automation.
We calculate automation potential based on task characteristics, industry context, and company size. This produces a score from 0-100 for each skill dimension.
We aggregate scores and apply industry-specific modifiers to calculate overall automation risk. High risk isn't necessarily bad—it represents opportunity for productivity gains.
Low Risk
Highly human-centric role with limited automation potential
Moderate Risk
Significant automation opportunities in specific areas
High Risk
Large portions of the role are candidates for AI augmentation
Note: A high automation risk score is an opportunity, not a threat. It indicates significant potential for productivity gains through AI augmentation. The goal isn't to replace humans but to free them for higher-value work.