食品批量制造商

食品准备与服务

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

    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

    0.15

    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%。

    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
Record production and test data for each food product batch, such as the ingredients used, temperature, test results, and time cycle.

O*NET Task ID 4919

1.0
Determine mixing sequences, based on knowledge of temperature effects and of the solubility of specific ingredients.

O*NET Task ID 4929

1.0
Formulate or modify recipes for specific kinds of food products.

O*NET Task ID 4936

0.5
Observe gauges and thermometers to determine if the mixing chamber temperature is within specified limits, and turn valves to control the temperature.

O*NET Task ID 4920

0.0
Clean and sterilize vats and factory processing areas.

O*NET Task ID 4921

0.0
Press switches and turn knobs to start, adjust, and regulate equipment, such as beaters, extruders, discharge pipes, and salt pumps.

O*NET Task ID 4922

0.0
Observe and listen to equipment to detect possible malfunctions, such as leaks or plugging, and report malfunctions or undesirable tastes to supervisors.

O*NET Task ID 4923

0.0
Set up, operate, and tend equipment that cooks, mixes, blends, or processes ingredients in the manufacturing of food products, according to formulas or recipes.

O*NET Task ID 4924

0.0
Mix or blend ingredients, according to recipes, using a paddle or an agitator, or by controlling vats that heat and mix ingredients.

O*NET Task ID 4925

0.0
Follow recipes to produce food products of specified flavor, texture, clarity, bouquet, or color.

O*NET Task ID 4926

0.0
Select and measure or weigh ingredients, using English or metric measures and balance scales.

O*NET Task ID 4927

0.0
Turn valve controls to start equipment and to adjust operation to maintain product quality.

O*NET Task ID 4928

0.0
Fill processing or cooking containers, such as kettles, rotating cookers, pressure cookers, or vats, with ingredients, by opening valves, by starting pumps or injectors, or by hand.

O*NET Task ID 4930

0.0
Give directions to other workers who are assisting in the batchmaking process.

O*NET Task ID 4931

0.0
Homogenize or pasteurize material to prevent separation or to obtain prescribed butterfat content, using a homogenizing device.

O*NET Task ID 4932

0.0
Inspect vats after cleaning to ensure that fermentable residue has been removed.

O*NET Task ID 4933

0.0
Examine, feel, and taste product samples during production to evaluate quality, color, texture, flavor, and bouquet, and document the results.

O*NET Task ID 4934

0.0
Test food product samples for moisture content, acidity level, specific gravity, or butter-fat content, and continue processing until desired levels are reached.

O*NET Task ID 4935

0.0
Inspect and pack the final product.

O*NET Task ID 4937

0.0
Grade food products according to government regulations or according to type, color, bouquet, and moisture content.

O*NET Task ID 4938

0.0
Cool food product batches on slabs or in water-cooled kettles.

O*NET Task ID 4939

0.0
Operate refining machines to reduce the particle size of cooked batches.

O*NET Task ID 4940

0.0
Modify cooking and forming operations based on the results of sampling processes, adjusting time cycles and ingredients to achieve desired qualities, such as firmness or texture.

O*NET Task ID 4941

0.0
Place products on carts or conveyors to transfer them to the next stage of processing.

O*NET Task ID 4942

0.0
Manipulate products, by hand or using machines, to separate, spread, knead, spin, cast, cut, pull, or roll products.

O*NET Task ID 4943

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