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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

    出典データセット(XLSX ファイルのダウンロード)

  • 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

    観測エクスポージャー指数、公開されたまま0–1

    O*NETタスクへの対応づけが基準

    出典データセット

  • データ出典: ILO公表時点: 2025

    0.53

    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14%です。

    出典データセット

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。

TaskClaude.aiRaw / share %APIRaw / share %
Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.

15-1199

4.872142.94.306233.5
Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source.

15-1199

0.90047.91.10028.6
Search electronic sources, such as databases or repositories, or manual sources for information.

15-1199

0.48534.30.20441.6
Determine sources of web page or server problems, and take action to correct such problems.

15-1199

0.36333.20.26292.0
Develop transactional Web applications, using Web programming software and knowledge of programming languages, such as hypertext markup language (HTML) and extensible markup language (XML).

15-1199

0.32932.90.29362.3
Provide technical guidance or support for the development or troubleshooting of systems.

15-1199

0.32322.80.03020.2
Provide feedback and recommendations to developers on software usability and functionality.

15-1199

0.29202.60.21741.7
Develop application-specific software.

15-1199

0.27242.40.48553.8
Respond to program error messages by finding and correcting problems or terminating the program.

43-9011

0.26342.30.27302.1
Consult with multiple stakeholders to define requirements and implement online features.

15-1199

0.24192.10.04230.3

Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page

職業情報

この職業に関わる最近の変化

2026年7月: ADP/Stanford linked postings-payroll study of ~7,000 IT workers (2019-2025) prices tasks separately within IT jobs. Advising others on the design or use of technologies is among 8 higher-wage activities; five tasks lost compensation value in 2023-2025 vs 2019-2022, including "develop models of systems, processes, or products." Effect sizes were not published.

[出典: ADP Research / Stanford Digital Economy Lab, Unbundling Jobs (July 2026)]

2026年3月: EIG (Mar 2026) argues the weakness in young adults' labor market is about age, not education: young workers of all education levels lag the rest of the labor market, which does not fit the media narrative of AI displacing computer science majors and entry-level graduates.

[出典: EIG: AI and Young-Adult Jobs (March 2026)]

2026年3月: Brookings (Mar 2026) says research on AI and the labor market is still in its first inning, and studies disagree: ADP payroll data show employment fell more for young workers in high-AI-exposure occupations, while CPS data show unemployment rose less for workers in more exposed occupations.

[出典: Brookings Institution]

These summaries were written by AI Changing Work from the source linked with each one, and any figures in them are given as AI Changing Work summarised them; they can differ from the source's own wording and from figures shown elsewhere on this page, so check the source before relying on them. AI Changing Work matched this page's occupation to an O*NET occupation and chose, by its own judgment, case by case, which summaries relate to that O*NET occupation; a summary appearing here does not mean that its source names this occupation.