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コンピュータ・数学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
0.469
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
0.47
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23%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 7 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Install and perform minor repairs to hardware, software, or peripheral equipment, following design or installation specifications.15-1151 | 0.099230.8 | 0.030719.7 |
Modify and customize commercial programs for internal needs.15-1151 | 0.078124.2 | 0.056536.3 |
Set up equipment for employee use, performing or ensuring proper installation of cables, operating systems, or appropriate software.15-1151 | 0.076323.7 | 0.01358.7 |
Answer user inquiries regarding computer software or hardware operation to resolve problems.15-1151 | 0.036511.3 | 0.00946.0 |
Prepare evaluations of software or hardware, and recommend improvements or upgrades.15-1151 | 0.00993.1 | 0.00251.6 |
Confer with staff, users, and management to establish requirements for new systems or modifications.15-1151 | 0.00772.4 | 0.00342.2 |
Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.15-1151 | 0.00752.3 | 0.01197.6 |
Develop training materials and procedures, or train users in the proper use of hardware or software.15-1151 | 0.00722.2 | —0 |
Enter commands and observe system functioning to verify correct operations and detect errors. | —0 | 0.027917.9 |
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 |
|---|---|
Enter commands and observe system functioning to verify correct operations and detect errors.O*NET Task ID 1283 | 1.0 |
Maintain records of daily data communication transactions, problems and remedial actions taken, or installation activities.O*NET Task ID 1287 | 1.0 |
Read technical manuals, confer with users, or conduct computer diagnostics to investigate and resolve problems or to provide technical assistance and support.O*NET Task ID 1288 | 1.0 |
Refer major hardware or software problems or defective products to vendors or technicians for service.O*NET Task ID 1291 | 1.0 |
Prepare evaluations of software or hardware, and recommend improvements or upgrades.O*NET Task ID 1292 | 1.0 |
Read trade magazines and technical manuals, or attend conferences and seminars to maintain knowledge of hardware and software.O*NET Task ID 1293 | 1.0 |
Modify and customize commercial programs for internal needs.O*NET Task ID 1296 | 1.0 |
Answer user inquiries regarding computer software or hardware operation to resolve problems.O*NET Task ID 1282 | 0.5 |
Oversee the daily performance of computer systems.O*NET Task ID 1285 | 0.5 |
Confer with staff, users, and management to establish requirements for new systems or modifications.O*NET Task ID 1289 | 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