As of July 2026,
Budget Analysts has an AI-exposure score of 69/100
(High exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 29.1 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Budget Analysts
More exposed than 87% of the roles we track. Median pay ~US$91,640. About 3,100 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
How this role compares to similar Business & Finance roles
What this role usually involves
Examine budget estimates for completeness, accuracy, and conformance with procedures and regulations. Analyze budgeting and accounting reports.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Budget Analysts, SOC 13-2031.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Budget Analysts tasks, by AI exposure
- Compile and analyze accounting records and other data to determine the financial resources required to implement a program.
- Provide advice and technical assistance with cost analysis, fiscal allocation, and budget preparation.
- Analyze monthly department budgeting and accounting reports to maintain expenditure controls.
No augmentable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (100%).
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (100%).
We analyzed all 13 Budget Analysts tasks - 13 automatable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.
Compile and analyze accounting records and other data to determine the financial resources required to implement a program.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI was the most-cited reason for U.S. layoffs through mid-2026 - the workers who adapt earliest fare best. - Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026
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