ワープロ・タイピスト
事務・管理サポートAI露出度
- データ出典: BLS公表時点: 2026-08
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: 2026-03
0.238
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
0.65
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
非表示の作業 9 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Reformat documents, moving paragraphs or columns.43-9022 | 0.284478.1 | 0.261947.6 |
File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update and delete documents.43-9022 | 0.01865.1 | 0.02454.5 |
Check completed work for spelling, grammar, punctuation, and format.43-9022 | 0.01544.2 | 0.00510.9 |
Use data entry devices, such as optical scanners, to input data into computers for revision or editing.43-9022 | 0.01534.2 | 0.066712.1 |
Search for specific sets of stored, typed characters to make changes.43-9022 | 0.01022.8 | 0.162529.6 |
Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.43-9022 | 0.00671.8 | 0.02033.7 |
Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation or previous versions, using a computer, word processor, or typewriter.43-9022 | 0.00591.6 | 0.00581.0 |
Print and make copies of work.43-9022 | 0.00270.7 | —0 |
Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator.43-9022 | 0.00270.7 | —0 |
Perform other clerical duties such as answering telephone, sorting and distributing mail, running errands or sending faxes.43-9022 | 0.00210.6 | 0.00280.5 |
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 |
|---|---|
Check completed work for spelling, grammar, punctuation, and format.O*NET Task ID 790 | 1.0 |
Gather, register, and arrange the material to be typed, following instructions.O*NET Task ID 792 | 1.0 |
Type correspondence, reports, text and other written material from rough drafts, corrected copies, voice recordings, dictation, or previous versions, using a computer, word processor, or typewriter.O*NET Task ID 793 | 1.0 |
File and store completed documents on computer hard drive or disk, or maintain a computer filing system to store, retrieve, update, and delete documents.O*NET Task ID 794 | 1.0 |
Keep records of work performed.O*NET Task ID 796 | 1.0 |
Compute and verify totals on report forms, requisitions, or bills, using adding machine or calculator.O*NET Task ID 797 | 1.0 |
Collate pages of reports and other documents.O*NET Task ID 798 | 1.0 |
Electronically sort and compile text and numerical data, retrieving, updating, and merging documents as required.O*NET Task ID 799 | 1.0 |
Reformat documents, moving paragraphs or columns.O*NET Task ID 800 | 1.0 |
Search for specific sets of stored, typed characters to make changes.O*NET Task ID 801 | 1.0 |
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