汽车服务员
运输与物料搬运AI暴露度
- 数据来源: BLS发布时间: 2026-08
低· 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
0.000
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
0.24
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 79%。
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
| Task | Claude.aiRaw / share % |
|---|---|
Provide customers with information about local roads or highways.53-6031 | 0.00000.0 |
| Not observed on any surface — 13 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Collect cash payments from customers, and make change or charge purchases to customers' credit cards, providing customers with receipts. | —0 |
Clean parking areas, offices, restrooms, or equipment, and remove trash. | —0 |
Perform minor repairs, such as adjusting brakes, replacing spark plugs, or changing engine oil or filters. | —0 |
Order stock, and price and shelve incoming goods. | —0 |
Rotate, test, and repair or replace tires. | —0 |
Grease and lubricate vehicles or specified units, such as springs, universal joints, or steering knuckles, using grease guns or spray lubricants. | —0 |
Sell and install accessories, such as batteries, windshield wiper blades, fan belts, bulbs, or headlamps. | —0 |
Check tire pressure and levels of fuel, motor oil, transmission, radiator, battery, or other fluids, adding air or fluids as required. | —0 |
Activate fuel pumps and fill fuel tanks of vehicles with gasoline or diesel fuel to specified levels. | —0 |
Prepare daily reports of fuel, oil, and accessory sales. | —0 |
Maintain customer records and follow up periodically with telephone, mail, or personal reminders of services due. | —0 |
Test and charge batteries. | —0 |
Clean windshields. | —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 |
|---|---|
Prepare daily reports of fuel, oil, and accessory sales.O*NET Task ID 10714 | 1.0 |
Provide customers with information about local roads or highways.O*NET Task ID 10718 | 1.0 |
Maintain customer records and follow up periodically with telephone, mail, or personal reminders of services due.O*NET Task ID 10723 | 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