New Accounts Clerks

Office & Administrative Support

AI exposure

  • Data source: BLSPublished: 2026-08

    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: 2026-03

    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: 2025

    0.64

    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, 1% 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
Answer customers' questions and explain available services, such as deposit accounts, bonds, and securities.

O*NET Task ID 4722

1.0
Compile information about new accounts, enter account information into computers, and file related forms or other documents.

O*NET Task ID 4723

1.0
Inform customers of procedures for applying for services, such as ATM cards, direct deposit of checks, and certificates of deposit.

O*NET Task ID 4726

1.0
Duplicate records for distribution to branch offices.

O*NET Task ID 4732

1.0
Refer customers to appropriate bank personnel to meet their financial needs.

O*NET Task ID 4724

0.5
Interview customers to obtain information needed for opening accounts or renting safe-deposit boxes.

O*NET Task ID 4725

0.5
Obtain credit records from reporting agencies.

O*NET Task ID 4727

0.5
Collect and record customer deposits and fees and issue receipts, using computers.

O*NET Task ID 4728

0.5
Investigate and correct errors upon customers' request, according to customer and bank records.

O*NET Task ID 4729

0.5
Execute wire transfers of funds.

O*NET Task ID 4731

0.5
Perform teller duties as required.

O*NET Task ID 4730

0.0
Issue initial and replacement safe-deposit keys to customers, and admit customers to vaults.

O*NET Task ID 4733

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