ウェブ管理者
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
0.311
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
0.49
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21%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 151 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Search electronic sources, such as databases or repositories, or manual sources for information.15-1299 | 4.950064.0 | 5.720045.1 |
Confer with users to analyze, configure, or troubleshoot applications.15-1299 | 0.64008.3 | 0.15001.2 |
Provide technical guidance or support for the development or troubleshooting of systems.15-1299 | 0.48006.2 | 0.07000.6 |
Write and execute scripts to automate tasks, such as parsing large data files.15-1299 | 0.21002.7 | 0.16001.3 |
Create, analyze, report, convert, or transfer data, using specialized applications program software.15-1299 | 0.15001.9 | 0.24001.9 |
Evaluate existing systems to determine effectiveness, and suggest changes to meet organizational requirements.15-1299 | 0.08001.0 | 0.04000.3 |
Monitor system operation to detect potential problems.15-1299 | 0.07000.9 | 0.67005.3 |
Review existing or incoming data for currency, accuracy, usefulness, quality, or completeness of documentation.15-1299 | 0.06000.8 | 3.560028.1 |
Review or update Web page content or links in a timely manner, using appropriate tools.15-1299 | 0.06000.8 | 0.11000.9 |
Retrieve electronic assets from repository for distribution to users, collecting and returning to repository, if necessary.15-1299 | 0.06000.8 | 0.11000.9 |
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 |
|---|---|
Back up or modify applications and related data to provide for disaster recovery.O*NET Task ID 14731 | 1.0 |
Determine sources of Web page or server problems, and take action to correct such problems.O*NET Task ID 14732 | 1.0 |
Review or update Web page content or links in a timely manner, using appropriate tools.O*NET Task ID 14733 | 1.0 |
Implement Web site security measures, such as firewalls or message encryption.O*NET Task ID 14735 | 1.0 |
Administer internet or intranet infrastructure, including Web, file, and mail servers.O*NET Task ID 14736 | 1.0 |
Collaborate with development teams to discuss, analyze, or resolve usability issues.O*NET Task ID 14737 | 1.0 |
Test backup or recovery plans regularly and resolve any problems.O*NET Task ID 14738 | 1.0 |
Monitor Web developments through continuing education, reading, or participation in professional conferences, workshops, or groups.O*NET Task ID 14739 | 1.0 |
Implement updates, upgrades, and patches in a timely manner to limit loss of service.O*NET Task ID 14740 | 1.0 |
Identify or document backup or recovery plans.O*NET Task ID 14741 | 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