商业潜水员
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
0.16
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 92%。
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
仅显示有暴露的工作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 |
|---|---|
Inspect and test docks, ships, buoyage systems, plant intakes or outflows, or underwater pipelines, cables, or sewers, using closed circuit television, still photography, and testing equipment.O*NET Task ID 13859 | 0.5 |
Take test samples or photographs to assess the condition of vessels or structures.O*NET Task ID 13864 | 0.5 |
Operate underwater video, sonar, recording, or related equipment to investigate underwater structures or marine life.O*NET Task ID 13866 | 0.5 |
Communicate with workers on the surface while underwater, using signal lines or telephones.O*NET Task ID 13854 | 0.0 |
Take appropriate safety precautions, such as monitoring dive lengths and depths and registering with authorities before diving expeditions begin.O*NET Task ID 13855 | 0.0 |
Check and maintain diving equipment, such as helmets, masks, air tanks, harnesses, or gauges.O*NET Task ID 13856 | 0.0 |
Descend into water with the aid of diver helpers, using scuba gear or diving suits.O*NET Task ID 13857 | 0.0 |
Obtain information about diving tasks and environmental conditions.O*NET Task ID 13858 | 0.0 |
Repair ships, bridge foundations, or other structures below the water line, using caulk, bolts, and hand tools.O*NET Task ID 13860 | 0.0 |
Cut and weld steel, using underwater welding equipment, jigs, and supports.O*NET Task ID 13861 | 0.0 |
Recover objects by placing rigging around sunken objects, hooking rigging to crane lines, and operating winches, derricks, or cranes to raise objects.O*NET Task ID 13862 | 0.0 |
Install pilings or footings for piers or bridges.O*NET Task ID 13863 | 0.0 |
Install, inspect, clean, or repair piping or valves.O*NET Task ID 13865 | 0.0 |
Remove obstructions from strainers or marine railway or launching ways, using pneumatic or power hand tools.O*NET Task ID 13867 | 0.0 |
Salvage wrecked ships or their cargo, using pneumatic power velocity and hydraulic tools and explosive charges, when necessary.O*NET Task ID 13868 | 0.0 |
Set or guide placement of pilings or sandbags to provide support for structures, such as docks, bridges, cofferdams, or platforms.O*NET Task ID 13869 | 0.0 |
Perform activities related to underwater search and rescue, salvage, recovery, or cleanup operations.O*NET Task ID 13870 | 0.0 |
Supervise or train other divers, including hobby divers.O*NET Task ID 13871 | 0.0 |
Carry out non-destructive testing, such as tests for cracks on the legs of oil rigs at sea.O*NET Task ID 13872 | 0.0 |
Drill holes in rock and rig explosives for underwater demolitions.O*NET Task ID 13873 | 0.0 |
Remove rubbish or pollution from the sea.O*NET Task ID 13874 | 0.0 |
Perform offshore oil or gas exploration or extraction duties, such as conducting underwater surveys or repairing and maintaining drilling rigs or platforms.O*NET Task ID 13875 | 0.0 |
Cultivate or harvest marine species or perform routine work on fish farms.O*NET Task ID 13876 | 0.0 |
Set up dive sites for recreational instruction.O*NET Task ID 13877 | 0.0 |
Inspect the condition of underwater steel or wood structures.O*NET Task ID 20809 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page