計量・測定・記録係
事務・管理サポートAI露出度
- データ出典: BLS公表時点: 2026-08
中程度· 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
0.000
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
0.37
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53%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
露出のある作業のみ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 |
|---|---|
Document quantity, quality, type, weight, test result data, and value of materials or products to maintain shipping, receiving, and production records and files.O*NET Task ID 11380 | 1.0 |
Compute product totals and charges for shipments.O*NET Task ID 11385 | 1.0 |
Operate scalehouse computers to obtain weight information about incoming shipments such as those from waste haulers.O*NET Task ID 11388 | 1.0 |
Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.O*NET Task ID 11392 | 1.0 |
Prepare measurement tables and conversion charts, using standard formulas.O*NET Task ID 11399 | 1.0 |
Compare product labels, tags, or tickets, shipping manifests, purchase orders, and bills of lading to verify accuracy of shipment contents, quality specifications, or weights.O*NET Task ID 11381 | 0.5 |
Count or estimate quantities of materials, parts, or products received or shipped.O*NET Task ID 11382 | 0.5 |
Communicate with customers and vendors to exchange information regarding products, materials, and services.O*NET Task ID 11384 | 0.5 |
Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.O*NET Task ID 11396 | 0.5 |
Inspect products and examination records to determine the number of defects per worker and the reasons for examiners' rejections.O*NET Task ID 11400 | 0.5 |
Collect or prepare measurement, weight, or identification labels and attach them to products.O*NET Task ID 11379 | 0.0 |
Weigh or measure materials, equipment, or products to maintain relevant records, using volume meters, scales, rules, or calipers.O*NET Task ID 11383 | 0.0 |
Collect product samples and prepare them for laboratory analysis or testing.O*NET Task ID 11386 | 0.0 |
Unload or unpack incoming shipments.O*NET Task ID 11387 | 0.0 |
Fill orders for products and samples, following order tickets, and forward or mail items.O*NET Task ID 11389 | 0.0 |
Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.O*NET Task ID 11390 | 0.0 |
Signal or instruct other workers to weigh, move, or check products.O*NET Task ID 11391 | 0.0 |
Store samples of finished products in labeled cartons and record their location.O*NET Task ID 11393 | 0.0 |
Remove from stock products or loads not meeting quality standards, and notify supervisors or appropriate departments of discrepancies or shortages.O*NET Task ID 11394 | 0.0 |
Maintain, monitor, and clean work areas, such as recycling collection sites, drop boxes, counters and windows, and areas around scale houses.O*NET Task ID 11395 | 0.0 |
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.O*NET Task ID 11397 | 0.0 |
Transport materials, products, or samples to processing, shipping, or storage areas, manually or using conveyors, pumps, or hand trucks.O*NET Task ID 11398 | 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