Evidence first
Scores are explainable and traceable to structured, versioned inputs.
The problem
Career decisions need more than headlines.
Most discussion about AI and jobs is either vague optimism or dramatic prediction. Neither helps someone decide whether to specialize, retrain, or change careers.
Our approach
Evidence first. Action second.
We break occupations into tasks, compare those tasks with AI capabilities, and then account for human dependency, physical work, adoption economics, and labour-market signals.
Our purpose
Know what AI can change.
Know what you can do next.
Career decision infrastructure—not a fear calculator.
Useful over sensational
AI exposure and replacement risk are different things. We always show both.
Actionable outcomes
Every risk analysis should lead toward realistic career options.