Human Resources Managers
ManagementAI exposure
- Data source: BLSPublished: '26.08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: '26.03
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: '25
0.36
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 60% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 21 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Analyze statistical data and reports to identify and determine causes of personnel problems and develop recommendations for improvement of organization's personnel policies and practices.11-3121 | 0.002730.6 | 0.002417.3 |
Provide current and prospective employees with information about policies, job duties, working conditions, wages, opportunities for promotion and employee benefits.11-3121 | 0.002629.4 | 0.006848.1 |
Develop, administer and evaluate applicant tests.11-3121 | 0.001820.0 | 0.003323.3 |
Advise managers on organizational policy matters such as equal employment opportunity and sexual harassment, and recommend needed changes.11-3121 | 0.001820.0 | —0 |
Analyze training needs to design employee development, language training and health and safety programs. | —0 | 0.001611.3 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Conduct exit interviews to identify reasons for employee termination.O*NET Task ID 996 | 1.0 |
Administer compensation, benefits, and performance management systems, and safety and recreation programs.O*NET Task ID 982 | 0.5 |
Identify staff vacancies and recruit, interview, and select applicants.O*NET Task ID 983 | 0.5 |
Allocate human resources, ensuring appropriate matches between personnel.O*NET Task ID 984 | 0.5 |
Provide current and prospective employees with information about policies, job duties, working conditions, wages, opportunities for promotion, and employee benefits.O*NET Task ID 985 | 0.5 |
Perform difficult staffing duties, including dealing with understaffing, refereeing disputes, firing employees, and administering disciplinary procedures.O*NET Task ID 986 | 0.5 |
Advise managers on organizational policy matters, such as equal employment opportunity and sexual harassment, and recommend needed changes.O*NET Task ID 987 | 0.5 |
Analyze and modify compensation and benefits policies to establish competitive programs and ensure compliance with legal requirements.O*NET Task ID 988 | 0.5 |
Serve as a link between management and employees by handling questions, interpreting and administering contracts and helping resolve work-related problems.O*NET Task ID 990 | 0.5 |
Plan, direct, supervise, and coordinate work activities of subordinates and staff relating to employment, compensation, labor relations, and employee relations.O*NET Task ID 991 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page