データ入力担当者
事務・管理サポートAI露出度
- データ出典: BLS公表時点: '26.08
非常に高い· 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: '26.03
0.671
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: '25
0.70
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0%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| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Maintain logs of activities and completed work.43-9021 | 0.030037.5 | 0.04007.0 |
Compile, sort, and verify the accuracy of data before it is entered.43-9021 | 0.020025.0 | 0.320056.1 |
Compare data with source documents, or re-enter data in verification format to detect errors.43-9021 | 0.020025.0 | 0.05008.8 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.43-9021 | 0.010012.5 | 0.130022.8 |
Locate and correct data entry errors, or report them to supervisors.43-9021 | 0.00000.0 | 0.01001.8 |
Store completed documents in appropriate locations.43-9021 | 0.00000.0 | —0 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.43-9021 | 0.00000.0 | —0 |
Select materials needed to complete work assignments. | —0 | 0.02003.5 |
| Not observed on any surface — 1 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media. | —0 | —0 |
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 |
|---|---|
Compile, sort, and verify the accuracy of data before it is entered.O*NET Task ID 11402 | 1.0 |
Compare data with source documents, or re-enter data in verification format to detect errors.O*NET Task ID 11403 | 1.0 |
Store completed documents in appropriate locations.O*NET Task ID 11404 | 1.0 |
Locate and correct data entry errors, or report them to supervisors.O*NET Task ID 11405 | 1.0 |
Maintain logs of activities and completed work.O*NET Task ID 11406 | 1.0 |
Select materials needed to complete work assignments.O*NET Task ID 11407 | 1.0 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.O*NET Task ID 11409 | 1.0 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.O*NET Task ID 11401 | 0.5 |
Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media.O*NET Task ID 11408 | 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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
この職業に関わる最近の変化
2026年5月: Anthropic observed-exposure score: high (routine tasks absorbed). High observed exposure; routine tasks already absorbed by LLMs.
[出典: Anthropic Economic Research (Massenkoff & McCrory, 2026)]2026年4月: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[出典: NBER Working Paper 34836]2026年4月: Among highest automation exposure occupations. AI topped all job cut reasons in March 2026 with 15,341 positions (25% of total). Q1 cumulative AI cuts: 27,645.
[出典: Challenger March 2026]