工場生産管理者
経営AI露出度
- データ出典: BLS公表時点: 2026-08
高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: 2026-03
0.013
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: 2025
0.38
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは48%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
非表示の作業 90 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Evaluate power production or demand trends to identify opportunities for improved operations.11-3051 | 0.005745.6 | 0.003327.8 |
Identify opportunities to improve plant electrical equipment, controls, or process control methodologies.11-3051 | 0.003124.8 | —0 |
Participate in the development of product specifications.11-3051 | 0.002016.0 | —0 |
Develop or implement policy evaluation procedures for hydroelectric generation activities.11-3051 | 0.001713.6 | —0 |
Confer with marketing and sales departments to define client requirements and expectations. | —0 | 0.008572.2 |
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 and maintain production reports or personnel records.O*NET Task ID 38 | 1.0 |
Direct or coordinate production, processing, distribution, or marketing activities of industrial organizations.O*NET Task ID 32 | 0.5 |
Develop budgets or approve expenditures for supplies, materials, or human resources, ensuring that materials, labor, or equipment are used efficiently to meet production targets.O*NET Task ID 33 | 0.5 |
Review processing schedules or production orders to make decisions concerning inventory requirements, staffing requirements, work procedures, or duty assignments, considering budgetary limitations and time constraints.O*NET Task ID 34 | 0.5 |
Review operations and confer with technical or administrative staff to resolve production or processing problems.O*NET Task ID 35 | 0.5 |
Initiate or coordinate inventory or cost control programs.O*NET Task ID 37 | 0.5 |
Set and monitor product standards, examining samples of raw products or directing testing during processing, to ensure finished products are of prescribed quality.O*NET Task ID 39 | 0.5 |
Develop or implement production tracking or quality control systems, analyzing production, quality control, maintenance, or other operational reports to detect production problems.O*NET Task ID 40 | 0.5 |
Review plans and confer with research or support staff to develop new products or processes.O*NET Task ID 41 | 0.5 |
Coordinate or recommend procedures for facility or equipment maintenance or modification, including the replacement of machines.O*NET Task ID 43 | 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