As of July 2026,
Compensation and Benefits Managers has an AI-exposure score of 70/100
(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.
Compensation and Benefits Managers
More exposed than 89% of the roles we track. Median pay ~US$149,230. About 1,500 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 Management roles
What this role usually involves
Plan, direct, or coordinate compensation and benefits activities of an organization.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 29.1 exact occupation - Compensation and Benefits Managers, SOC 11-3111.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Compensation and Benefits Managers tasks, by AI exposure
- Maintain records and compile statistical reports concerning personnel-related data, such as hires, transfers, performance appraisals, and absenteeism rates.
- Direct preparation and distribution of written and verbal information to inform employees of benefits, compensation, and personnel policies.
- Prepare detailed job descriptions and classification systems and define job levels and families, in partnership with other managers.
- Design, evaluate, and modify benefits policies to ensure that programs are current, competitive, and in compliance with legal requirements.
- Manage the design and development of tools to assist employees in benefits selection, and to guide managers through compensation decisions.
No durable tasks identified for this role - its real, individually-assessed tasks consistently read as automatable (85%).
We analyzed all 20 Compensation and Benefits Managers tasks - 17 automatable and 3 augmentable. 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
Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.
Maintain records and compile statistical reports concerning personnel-related data, such as hires, transfers, performance appraisals, and absenteeism rates.
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
Instant delivery - your personalized report is ready about a minute after checkout.