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AI exposure

  • Data source: AnthropicPublished: 2026-03

    0.220

    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

    0.45

    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, 25% score at or above this value.

    Source dataset

  • Data source: OpenAIPublished: 2023

    0.662

    0.000Range of values carried here0.844
    Scale, basis and source

    Human-rater β, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

Task-level exposure

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
Prepare requirements documentation for use by software developers.

O*NET Task ID 15982

1.0
Collaborate in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

O*NET Task ID 15985

1.0
Maintain or modify all financial analytic models in use.

O*NET Task ID 15987

1.0
Produce written summary reports of financial research results.

O*NET Task ID 15988

1.0
Develop core analytical capabilities or model libraries, using advanced statistical, quantitative, or econometric techniques.

O*NET Task ID 15990

1.0
Devise or apply independent models or tools to help verify results of analytical systems.

O*NET Task ID 15996

1.0
Apply mathematical or statistical techniques to address practical issues in finance, such as derivative valuation, securities trading, risk management, or financial market regulation.

O*NET Task ID 15997

1.0
Provide application or analytical support to researchers or traders on issues such as valuations or data.

O*NET Task ID 15983

0.5
Identify, track, or maintain metrics for trading system operations.

O*NET Task ID 15984

0.5
Research new financial products or analytics to determine their usefulness.

O*NET Task ID 15986

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

Occupation information