Mailroom Supervisors

Office & Administrative Support

AI exposure

  • Data source: BLSPublished: 2026-08

    Very 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: 2026-03

    0.186

    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: 2025

    0.43

    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, 30% 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
Interpret and communicate work procedures and company policies to staff.

O*NET Task ID 9712

1.0
Compute figures such as balances, totals, or commissions.

O*NET Task ID 9715

1.0
Resolve customer complaints or answer customers' questions regarding policies and procedures.

O*NET Task ID 9703

0.5
Supervise the work of office, administrative, or customer service employees to ensure adherence to quality standards, deadlines, and proper procedures, correcting errors or problems.

O*NET Task ID 9704

0.5
Provide employees with guidance in handling difficult or complex problems or in resolving escalated complaints or disputes.

O*NET Task ID 9705

0.5
Implement corporate or departmental policies, procedures, and service standards in conjunction with management.

O*NET Task ID 9706

0.5
Train or instruct employees in job duties or company policies or arrange for training to be provided.

O*NET Task ID 9708

0.5
Evaluate employees' job performance and conformance to regulations and recommend appropriate personnel action.

O*NET Task ID 9709

0.5
Review records or reports pertaining to activities such as production, payroll, or shipping to verify details, monitor work activities, or evaluate performance.

O*NET Task ID 9710

0.5
Recruit, interview, and select employees.

O*NET Task ID 9711

0.5
Discuss job performance problems with employees to identify causes and issues and to work on resolving problems.

O*NET Task ID 9707

0.0
Participate in the work of subordinates to facilitate productivity or to overcome difficult aspects of work.

O*NET Task ID 9722

0.0
Discuss work problems or grievances with union representatives.

O*NET Task ID 9726

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