事業継続計画担当者
ビジネス・金融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
0.185
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
0.42
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33%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 88 件を表示| Task | Claude.aiRaw / share % |
|---|---|
Provide system design and integration recommendations.13-1199 | 0.120518.9 |
Compose descriptions of merchandise for posting to online storefront, auction sites, or other shopping Web sites.13-1199 | 0.06279.8 |
Implement security practices to preserve assets, minimize liabilities, or ensure customer privacy, using parallel servers, hardware redundancy, fail-safe technology, information encryption, or firewalls.13-1199 | 0.04416.9 |
Design or implement products and services to mitigate risk or facilitate use of technology-based tools and methods.13-1199 | 0.03435.4 |
Recommend improvements in security systems or procedures.13-1199 | 0.03355.3 |
Compose images of products, using video or still cameras, lighting equipment, props, or photo or video editing software.13-1199 | 0.03295.2 |
Design security policies, programs, or practices to ensure adequate security relating to issues such as protection of assets, alarm response, and access card use.13-1199 | 0.02524.0 |
Perform risk analyses so that appropriate countermeasures can be developed.13-1199 | 0.02243.5 |
Provide advice on transportation options, types of carriers, or shipping routes.13-1199 | 0.02163.4 |
Analyze corporate intelligence data to identify trends, patterns, or warnings indicating threats to security of people, assets, information, or infrastructure.13-1199 | 0.01993.1 |
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 |
|---|---|
Write reports to summarize testing activities, including descriptions of goals, planning, scheduling, execution, results, analysis, conclusions, and recommendations.O*NET Task ID 15947 | 1.0 |
Establish, maintain, or test call trees to ensure appropriate communication during disaster.O*NET Task ID 15951 | 1.0 |
Create or administer training and awareness presentations or materials.O*NET Task ID 15954 | 1.0 |
Maintain and update organization information technology applications and network systems blueprints.O*NET Task ID 15948 | 0.5 |
Interpret government regulations and applicable codes to ensure compliance.O*NET Task ID 15949 | 0.5 |
Identify individual or transaction targets to direct intelligence collection.O*NET Task ID 15950 | 0.5 |
Design or implement products and services to mitigate risk or facilitate use of technology-based tools and methods.O*NET Task ID 15952 | 0.5 |
Create business continuity and disaster recovery budgets.O*NET Task ID 15953 | 0.5 |
Attend professional meetings, read literature, and participate in training or other educational offerings to keep abreast of new developments and technologies related to disaster recovery and business continuity.O*NET Task ID 15955 | 0.5 |
Test documented disaster recovery strategies and plans.O*NET Task ID 15956 | 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