公交及城际巴士司机
运输与物料搬运AI暴露度
- 数据来源: BLS发布时间: 2026-08
中等· 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
0.18
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 90%。
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 % | APIRaw / share % |
|---|---|---|
Record information, such as cash receipts and ticket fares, and maintain log book.53-3052 | 0.00000.0 | 0.00000.0 |
Report delays or accidents. | —0 | 0.00000.0 |
| Not observed on any surface — 12 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. | ||
Inspect vehicles and check gas, oil, and water levels prior to departure. | —0 | —0 |
Park vehicles at loading areas so that passengers can board. | —0 | —0 |
Advise passengers to be seated and orderly while on vehicles. | —0 | —0 |
Regulate heating, lighting, and ventilating systems for passenger comfort. | —0 | —0 |
Drive vehicles over specified routes or to specified destinations according to time schedules, complying with traffic regulations to ensure that passengers have a smooth and safe ride. | —0 | —0 |
Assist passengers, such as elderly or individuals with disabilities, on and off bus, ensure they are seated properly, help carry baggage, and answer questions about bus schedules or routes. | —0 | —0 |
Handle passenger emergencies or disruptions. | —0 | —0 |
Collect tickets or cash fares from passengers. | —0 | —0 |
Maintain cleanliness of bus or motor coach. | —0 | —0 |
Announce stops to passengers. | —0 | —0 |
Load and unload baggage in baggage compartments. | —0 | —0 |
Read maps to plan bus routes. | —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 |
|---|---|
Report delays or accidents.O*NET Task ID 3148 | 1.0 |
Record information, such as cash receipts and ticket fares, and maintain log book.O*NET Task ID 18797 | 1.0 |
Announce stops to passengers.O*NET Task ID 21085 | 1.0 |
Read maps to plan bus routes.O*NET Task ID 21086 | 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