Human Resources Managers

Management

AI exposure

  • Data source: BLSPublished: '26.08

    High· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: '26.03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: '25

    0.36

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

Exposed tasks only

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.

TaskβE1 + 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
Plan and conduct new employee orientation to foster positive attitude toward organizational objectives.

O*NET Task ID 989

0.0
Represent organization at personnel-related hearings and investigations.

O*NET Task ID 998

0.0

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®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information