Browse by Industry
Which Careers Are Safe From AI?
Not all jobs face the same AI threat. Browse by industry to see which careers have the lowest automation risk, which roles AI is already replacing, and what skills keep you ahead. Every industry page shows real automation scores backed by Oxford University and BLS research.
Finance & Accounting
High riskAccountants, financial analysts, bookkeepers, bank tellers, and related roles. High automation risk overall — but senior judgment roles remain resilient.
Legal
Very High riskParalegals and legal secretaries face significant AI exposure as tools like Harvey AI automate document review and legal research.
Administrative & Office
Very High riskAdministrative assistants, office clerks, and data entry roles. Among the most exposed careers to AI automation due to the high proportion of repetitive tasks.
Sales & Customer Service
High riskSales reps, customer service agents, cashiers, and telemarketers. Routine interaction roles face high risk; complex consultative selling is more resilient.
Technology & Software
Moderate riskSoftware developers face growing AI assistance (GitHub Copilot, Cursor) but remain in high demand as AI amplifies — not replaces — skilled engineers.
Human Resources
High riskHR specialists are seeing AI automate screening, scheduling, and compliance tasks, but relationship-intensive work in talent development stays human.
Design & Creative
Moderate riskGraphic designers face competition from AI image tools like Midjourney and Adobe Firefly — but creative direction and brand strategy remain human strengths.
Marketing & Research
Moderate riskMarket research analysts can amplify their output with AI tools, but the roles requiring strategic interpretation and client communication are holding their value.
How we score AI automation risk
Every score is derived from Oxford University’s landmark automation research (Frey & Osborne, 2013), cross-referenced with U.S. Bureau of Labor Statistics employment data. Scores reflect the probability that a job’s core tasks can be automated — not a guarantee of job loss. Individual outcomes depend on employer adoption speed, region, and how quickly workers build AI skills.
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