Will AI replace Compensation and Benefits Managers?
AI reaches a large part of this job’s work.
47/100
High exposure
More exposed to AI than 73% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 76% of the work
What the job involves
Plan, direct, or coordinate compensation and benefits activities of an organization.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(16)
- Direct preparation and distribution of written and verbal information to inform employees of benefits, compensation, and personnel policies.
- Design, evaluate, and modify benefits policies to ensure that programs are current, competitive, and in compliance with legal requirements.
- Fulfill all reporting requirements of all relevant government rules and regulations, including the Employee Retirement Income Security Act (ERISA).
- Manage the design and development of tools to assist employees in benefits selection, and to guide managers through compensation decisions.
- Mediate between benefits providers and employees, such as by assisting in handling employees' benefits-related questions or taking suggestions.
and 11 more
Out of reach(6)
- Identify and implement benefits to increase the quality of life for employees by working with brokers and researching benefits issues.
- Administer, direct, and review employee benefit programs, including the integration of benefit programs following mergers and acquisitions.
- Plan, direct, supervise, and coordinate work activities of subordinates and staff relating to employment, compensation, labor relations, and employee relations.
- Negotiate bargaining agreements.
- Contract with vendors to provide employee services, such as food services, transportation, or relocation service.
and 1 more
Also called
Benefits Director · Compensation Director · Employee Benefits Manager · Employee Benefits Director · Benefits Manager · Compensation Manager · Employee Benefits Coordinator · Payroll Manager
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics