Assess your occupation's automation exposure using the Frey-Osborne research baseline, then score your career resilience against the fastest-growing and declining skills of 2025.
📅 Frey & Osborne 2013 · LinkedIn Skills on the Rise 2025 · WEF Future of Jobs 2025
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🔍 Your Occupation
Can't find yours? Pick the closest match. Automation risk correlates more with task type than job title.
📊 What the Score Measures
The Frey & Osborne (2013) model estimates the probability that an occupation's tasks could be automated using machine learning, robotics, or advanced algorithms. Three "bottleneck" factors reduce automation risk:
👁 Perception & manipulation💡 Creative intelligence🤝 Social intelligence
Occupations requiring any of these are harder to automate. Routine cognitive and physical tasks — regardless of skill level — score highest.
⚠️ Important Context
These scores reflect the 2013 technology frontier — before large language models and generative AI. Some low-risk occupations (editors, writers) may face new exposure; some high-risk ones (truck drivers) have been slower to automate than predicted. Use this as a structural baseline, not a prediction. The national average across all 702 occupations is approximately 0.47 (47%).
📈 Automation Exposure Result
🏭 Risk Tier Distribution (this dataset)
Exposure Report
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How to use: Check every growing skill you currently have (even partially). Check every declining skill you currently rely on heavily. Your Career Resilience Score reflects how well your skill mix aligns with where demand is heading.
🚀 Fastest-Growing Skills — LinkedIn 2025
Check each skill you currently have or are actively building
📉 Fastest-Declining Skills — WEF 2025
Check each skill you currently rely on heavily in your day-to-day work