环境工程师
生命、物理与社会科学AI暴露度
- 数据来源: BLS发布时间: 2026-08
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
- 数据来源: Anthropic发布时间: 2026-03
0.036
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: 2025
0.38
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 48%。
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
显示隐藏的 46 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide administrative support for projects by collecting data, providing project documentation, training staff, or performing other general administrative duties.17-2081 | 0.010733.2 | 0.0057100.0 |
Analyze and recommend chemical, biological, or other wastewater treatment methods to prepare water for industrial or domestic use.17-2081 | 0.005517.1 | —0 |
Design water run-off collection networks, water supply channels, or water supply system networks.17-2081 | 0.004112.7 | —0 |
Provide technical support on water resource or treatment issues to government agencies.17-2081 | 0.00309.3 | —0 |
Design domestic or industrial water or wastewater treatment plants, including advanced facilities with sequencing batch reactors (SBR), membranes, lift stations, headworks, surge overflow basins, ultraviolet disinfection systems, aerobic digesters, sludge lagoons, or control buildings.17-2081 | 0.00216.5 | —0 |
Develop, implement, or manage plans or programs related to conservation or management of natural resources.17-2081 | 0.00185.6 | —0 |
Analyze the efficiency of water delivery structures, such as dams, tainter gates, canals, pipes, penstocks, or cofferdams.17-2081 | 0.00185.6 | —0 |
Inform company employees or other interested parties of environmental issues.17-2081 | 0.00165.0 | —0 |
Write reports or articles for Web sites or newsletters related to environmental engineering issues.17-2081 | 0.00165.0 | —0 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Provide administrative support for projects by collecting data, providing project documentation, training staff, or performing other general administrative duties.O*NET Task ID 1372 | 1.0 |
Prepare hazardous waste manifests or land disposal restriction notifications.O*NET Task ID 1383 | 1.0 |
Write reports or articles for Web sites or newsletters related to environmental engineering issues.O*NET Task ID 19626 | 1.0 |
Prepare, maintain, or revise quality assurance documentation or procedures.O*NET Task ID 20197 | 1.0 |
Prepare, review, or update environmental investigation or recommendation reports.O*NET Task ID 1366 | 0.5 |
Obtain, update, or maintain plans, permits, or standard operating procedures.O*NET Task ID 1368 | 0.5 |
Provide technical support for environmental remediation or litigation projects, including remediation system design or determination of regulatory applicability.O*NET Task ID 1369 | 0.5 |
Monitor progress of environmental improvement programs.O*NET Task ID 1370 | 0.5 |
Inspect industrial or municipal facilities or programs to evaluate operational effectiveness or ensure compliance with environmental regulations.O*NET Task ID 1371 | 0.5 |
Develop proposed project objectives and targets and report to management on progress in attaining them.O*NET Task ID 1373 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page