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 32 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Prepare detailed network specifications, including diagrams, charts, equipment configurations, or recommended technologies.15-1143 | 0.044716.9 |
Implement controls to provide security for operating systems, software, and data.15-1143 | 0.035213.4 |
Explain design specifications to integration or test engineers.15-1143 | 0.02298.7 |
Manage user access to systems and equipment through account management and password administration.15-1143 | 0.01766.7 |
Document procedures for hardware and software installation and use.15-1143 | 0.01666.3 |
Develop or recommend network security measures, such as firewalls, network security audits, or automated security probes.15-1143 | 0.01264.8 |
Keep abreast of changes in industry practices and emerging telecommunications technology by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences.15-1143 | 0.01224.6 |
Develop conceptual, logical, or physical network designs.15-1143 | 0.01164.4 |
Maintain networks by performing activities such as file addition, deletion, or backup.15-1143 | 0.01013.8 |
Design, build, or operate equipment configuration prototypes, including network hardware, software, servers, or server operation systems.15-1143 | 0.00993.7 |
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