软件开发人员

计算机与数学

AI暴露度

  • 数据来源: BLS发布时间: '26.08

    很高· 相对

    低四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别（低 / 中等 / 高 / 很高）

    以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档

    来源数据集（XLSX 文件下载）

  • 数据来源: Anthropic发布时间: '26.03

    0.288

    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: '25

    0.53

    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 14%。

    来源数据集

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。

Task-level exposure

仅显示有暴露的工作

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
Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system.

O*NET Task ID 21661

1.0
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.

O*NET Task ID 21662

1.0
Confer with systems analysts, engineers, programmers and others to design systems and to obtain information on project limitations and capabilities, performance requirements and interfaces.

O*NET Task ID 21664

1.0
Coordinate installation of software system.

O*NET Task ID 21666

1.0
Design, develop and modify software systems, using scientific analysis and mathematical models to predict and measure outcomes and consequences of design.

O*NET Task ID 21667

1.0
Determine system performance standards.

O*NET Task ID 21668

1.0
Develop or direct software system testing or validation procedures, programming, or documentation.

O*NET Task ID 21669

1.0
Modify existing software to correct errors, adapt it to new hardware, or upgrade interfaces and improve performance.

O*NET Task ID 21670

1.0
Monitor functioning of equipment to ensure system operates in conformance with specifications.

O*NET Task ID 21671

1.0
Obtain and evaluate information on factors such as reporting formats required, costs, or security needs to determine hardware configuration.

O*NET Task ID 21672

1.0
Train users to use new or modified equipment.

O*NET Task ID 21679

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

与本职业相关的近期变化

2026年7月: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.

[来源: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]

2026年6月: Cited by ADP Research as an example of a high-AI-exposure occupation. Group-level payroll data shows employment in high-exposure occupations down 0.2% year over year overall and down 4.3% for workers aged 22-25 (33rd consecutive monthly decline). The percentages are for the high-exposure group, not for this occupation alone.

[来源: ADP Research, Canaries Dashboard (June 2026)]

2026年4月: Korean youth employment data shows codified knowledge work most vulnerable to AI displacement. Professional/technical services lost 98,000 workers in Jan 2026 (worst since 2013). Entry-level coding tasks at highest risk.

[来源: Econmingle / National Assembly Budget Office (2026)]