计算机用户支持专家
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
0.469
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
0.47
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 23%。
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 6 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Install and perform minor repairs to hardware, software, or peripheral equipment, following design or installation specifications.15-1151 | 0.090832.5 | 0.01388.2 |
Set up equipment for employee use, performing or ensuring proper installation of cables, operating systems, or appropriate software.15-1151 | 0.071325.5 | 0.01006.0 |
Modify and customize commercial programs for internal needs.15-1151 | 0.065223.3 | 0.076045.4 |
Answer user inquiries regarding computer software or hardware operation to resolve problems.15-1151 | 0.02599.3 | 0.018811.3 |
Prepare evaluations of software or hardware, and recommend improvements or upgrades.15-1151 | 0.00853.0 | 0.00301.8 |
Develop training materials and procedures, or train users in the proper use of hardware or software.15-1151 | 0.00662.4 | 0.00211.2 |
Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.15-1151 | 0.00552.0 | 0.018411.0 |
Enter commands and observe system functioning to verify correct operations and detect errors.15-1151 | 0.00291.0 | 0.020412.2 |
Confer with staff, users, and management to establish requirements for new systems or modifications.15-1151 | 0.00281.0 | 0.00332.0 |
Maintain records of daily data communication transactions, problems and remedial actions taken, or installation activities. | —0 | 0.00150.9 |
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 |
|---|---|
Enter commands and observe system functioning to verify correct operations and detect errors.O*NET Task ID 1283 | 1.0 |
Maintain records of daily data communication transactions, problems and remedial actions taken, or installation activities.O*NET Task ID 1287 | 1.0 |
Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.O*NET Task ID 1288 | 1.0 |
Refer major hardware or software problems or defective products to vendors or technicians for service.O*NET Task ID 1291 | 1.0 |
Prepare evaluations of software or hardware, and recommend improvements or upgrades.O*NET Task ID 1292 | 1.0 |
Read trade magazines and technical manuals, or attend conferences and seminars to maintain knowledge of hardware and software.O*NET Task ID 1293 | 1.0 |
Modify and customize commercial programs for internal needs.O*NET Task ID 1296 | 1.0 |
Answer user inquiries regarding computer software or hardware operation to resolve problems.O*NET Task ID 1282 | 0.5 |
Oversee the daily performance of computer systems.O*NET Task ID 1285 | 0.5 |
Confer with staff, users, and management to establish requirements for new systems or modifications.O*NET Task ID 1289 | 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