建筑油漆工

建筑、维护与维修

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

    来源数据集(XLSX 文件下载)

  • 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

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: 2025

    0.13

    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 97%。

    来源数据集

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.

TaskβE1 + 0.5 × E2
Calculate amounts of required materials and estimate costs, based on surface measurements or work orders.

O*NET Task ID 11515

1.0
Cover surfaces with dropcloths or masking tape and paper to protect surfaces during painting.

O*NET Task ID 11511

0.0
Fill cracks, holes, or joints with caulk, putty, plaster, or other fillers, using caulking guns or putty knives.

O*NET Task ID 11512

0.0
Apply primers or sealers to prepare new surfaces, such as bare wood or metal, for finish coats.

O*NET Task ID 11513

0.0
Apply paint, stain, varnish, enamel, or other finishes to equipment, buildings, bridges, or other structures, using brushes, spray guns, or rollers.

O*NET Task ID 11514

0.0
Read work orders or receive instructions from supervisors or homeowners to determine work requirements.

O*NET Task ID 11516

0.0
Erect scaffolding or swing gates, or set up ladders, to work above ground level.

O*NET Task ID 11517

0.0
Remove fixtures such as pictures, door knobs, lamps, or electric switch covers prior to painting.

O*NET Task ID 11518

0.0
Wash and treat surfaces with oil, turpentine, mildew remover, or other preparations, and sand rough spots to ensure that finishes will adhere properly.

O*NET Task ID 11519

0.0
Mix and match colors of paint, stain, or varnish with oil or thinning and drying additives to obtain desired colors and consistencies.

O*NET Task ID 11520

0.0
Remove old finishes by stripping, sanding, wire brushing, burning, or using water or abrasive blasting.

O*NET Task ID 11521

0.0
Select and purchase tools or finishes for surfaces to be covered, considering durability, ease of handling, methods of application, and customers' wishes.

O*NET Task ID 11522

0.0
Smooth surfaces, using sandpaper, scrapers, brushes, steel wool, or sanding machines.

O*NET Task ID 11523

0.0
Polish final coats to specified finishes.

O*NET Task ID 11524

0.0
Use special finishing techniques such as sponging, ragging, layering, or faux finishing.

O*NET Task ID 11525

0.0
Waterproof buildings, using waterproofers or caulking.

O*NET Task ID 11526

0.0
Cut stencils and brush or spray lettering or decorations on surfaces.

O*NET Task ID 11527

0.0
Spray or brush hot plastics or pitch onto surfaces.

O*NET Task ID 11528

0.0
Bake finishes on painted or enameled articles, using baking ovens.

O*NET Task ID 11529

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

职业信息