Face your automation risk honestly and build a transition plan. Screen your occupation, score your resilience, find the right credential, and evaluate whether a trade or degree path gets you there fastest.
Start with an objective read of your automation exposure. The tool uses Frey-Osborne SOC-keyed probability estimates plus task routineness and AI-augmentation exposure to produce a composite risk score. It also returns the 3 adjacent occupations with lower displacement risk and similar or higher median wages — your pivot candidates for Step 4.
Open AI Displacement Risk Screener →Displacement risk is occupation-level. Career resilience is personal-skills-level. The Career Resilience Engine scores your skills against LinkedIn's 2025 top growing skills and WEF's declining skills list to show whether your specific skillset is outpacing or trailing your occupation's risk. High resilience score means even a high-risk occupation may not threaten you specifically.
Open Career Resilience Engine →Use the pivot occupations identified in Step 1 as your target roles. The Credential ROI Suite compares up to 3 credential paths (bootcamp, certification, degree) on NPV, payback period, and break-even wage premium. This is the step that tells you whether the retraining investment is worth it — and which credential format gets you there most efficiently.
Open Credential ROI Suite →For pivots that cross the trade/degree threshold, this tool models the full financial comparison — debt at graduation, earnings trajectory, and cumulative NPV over 10 years. Many displaced mid-career workers find that a 12–18 month trade credential beats a 2-year associate degree on payback period, even when the degree carries higher long-term earnings potential. The tool shows you exactly where the lines cross.
Open Trade vs. Degree ROI Comparator →