平台工程师
计算机与数学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
0.311
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
0.49
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 21%。
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 151 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Search electronic sources, such as databases or repositories, or manual sources for information.15-1299 | 4.950064.0 | 5.720045.1 |
Confer with users to analyze, configure, or troubleshoot applications.15-1299 | 0.64008.3 | 0.15001.2 |
Provide technical guidance or support for the development or troubleshooting of systems.15-1299 | 0.48006.2 | 0.07000.6 |
Write and execute scripts to automate tasks, such as parsing large data files.15-1299 | 0.21002.7 | 0.16001.3 |
Create, analyze, report, convert, or transfer data, using specialized applications program software.15-1299 | 0.15001.9 | 0.24001.9 |
Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.15-1299 | 0.08001.0 | 0.04000.3 |
Monitor system operation to detect potential problems.15-1299 | 0.07000.9 | 0.67005.3 |
Review existing or incoming data for currency, accuracy, usefulness, quality, or completeness of documentation.15-1299 | 0.06000.8 | 3.560028.1 |
Review or update Web page content or links in a timely manner, using appropriate tools.15-1299 | 0.06000.8 | 0.11000.9 |
Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary.15-1299 | 0.06000.8 | 0.11000.9 |
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 |
|---|---|
Document design specifications, installation instructions, and other system-related information.O*NET Task ID 14668 | 1.0 |
Verify stability, interoperability, portability, security, or scalability of system architecture.O*NET Task ID 14669 | 1.0 |
Collaborate with engineers or software developers to select appropriate design solutions or ensure the compatibility of system components.O*NET Task ID 14670 | 1.0 |
Provide technical guidance or support for the development or troubleshooting of systems.O*NET Task ID 14672 | 1.0 |
Provide customers or installation teams guidelines for implementing secure systems.O*NET Task ID 14674 | 1.0 |
Investigate system component suitability for specified purposes, and make recommendations regarding component use.O*NET Task ID 14677 | 1.0 |
Perform ongoing hardware and software maintenance operations, including installing or upgrading hardware or software.O*NET Task ID 14678 | 1.0 |
Configure servers to meet functional specifications.O*NET Task ID 14679 | 1.0 |
Develop system engineering, software engineering, system integration, or distributed system architectures.O*NET Task ID 14682 | 1.0 |
Design and conduct hardware or software tests.O*NET Task ID 14683 | 1.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page