コンピュータネットワークアーキテクト
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
0.199
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
0.52
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15%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 25 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.15-1143 | 0.033413.1 | 0.00801.5 |
Manage user access to systems and equipment through account management and password administration.15-1143 | 0.02449.6 | 0.182934.8 |
Maintain networks by performing activities such as file addition, deletion, or backup.15-1143 | 0.02329.1 | 0.04318.2 |
Instruct in use of voice, video, and data communications systems.15-1143 | 0.02168.5 | 0.00240.5 |
Prepare or monitor project schedules, budgets, or cost control systems.15-1143 | 0.01626.3 | 0.00611.2 |
Document technical specifications and operating standards for telecommunications equipment.15-1143 | 0.01536.0 | 0.00641.2 |
Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies.15-1143 | 0.01254.9 | 0.00190.4 |
Develop and implement solutions for network problems.15-1143 | 0.00903.5 | 0.00741.4 |
Monitor and analyze network performance and data input/output reports to detect problems, identify inefficient use of computer resources, or perform capacity planning.15-1143 | 0.00873.4 | 0.05169.8 |
Communicate with vendors to gather information about products, alert them to future needs, resolve problems, or address system maintenance issues.15-1143 | 0.00823.2 | 0.00300.6 |
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 |
|---|---|
Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems.O*NET Task ID 18962 | 1.0 |
Determine specific network hardware or software requirements, such as platforms, interfaces, bandwidths, or routine schemas.O*NET Task ID 18964 | 1.0 |
Develop and implement solutions for network problems.O*NET Task ID 18965 | 1.0 |
Develop and write procedures for installation, use, or troubleshooting of communications hardware or software.O*NET Task ID 18966 | 1.0 |
Develop conceptual, logical, or physical network designs.O*NET Task ID 18967 | 1.0 |
Develop network-related documentation.O*NET Task ID 18969 | 1.0 |
Develop or maintain project reporting systems.O*NET Task ID 18970 | 1.0 |
Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.O*NET Task ID 18971 | 1.0 |
Explain design specifications to integration or test engineers.O*NET Task ID 18976 | 1.0 |
Maintain networks by performing activities such as file addition, deletion, or backup.O*NET Task ID 18977 | 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