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美国 · BLS 就业预测 2025–35：该 SOC 代码不在公布项目之列。

AI暴露度

  • 数据来源: Anthropic发布时间: 2026-03

    0.220

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数，按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.45

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数，按发布原值0–1

    ISCO-08职业小类单位 — 共用同一代码的职业取值相同

    本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 25%。

    来源数据集

  • 数据来源: OpenAI发布时间: 2023

    0.662

    0.000此处所载数值的范围0.844
    尺度 · 母数 · 来源

    人工评分β，按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

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

职业信息