Webデベロッパー
コンピュータ・数学AI露出度
- データ出典: BLS公表時点: '26.08
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: '26.03
0.480
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: '25
0.60
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4%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 17 件を表示| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Write supporting code for Web applications or Web sites.15-1254 | 0.510044.7 | 0.510039.8 |
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.15-1254 | 0.220019.3 | 0.140010.9 |
Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.15-1254 | 0.10008.8 | 0.03002.3 |
Respond to user email inquiries, or set up automated systems to send responses.15-1254 | 0.08007.0 | 0.130010.2 |
Analyze user needs to determine technical requirements.15-1254 | 0.06005.3 | 0.220017.2 |
Perform or direct Web site updates.15-1254 | 0.06005.3 | 0.130010.2 |
Recommend and implement performance improvements.15-1254 | 0.04003.5 | 0.02001.6 |
Develop system interaction or sequence diagrams.15-1254 | 0.04003.5 | —0 |
Develop or implement procedures for ongoing Web site revision.15-1254 | 0.02001.8 | 0.01000.8 |
Select programming languages, design tools, or applications.15-1254 | 0.01000.9 | 0.00000.0 |
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 maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.O*NET Task ID 14694 | 1.0 |
Perform or direct Web site updates.O*NET Task ID 14695 | 1.0 |
Back up files from Web sites to local directories for instant recovery in case of problems.O*NET Task ID 14698 | 1.0 |
Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems.O*NET Task ID 14700 | 1.0 |
Analyze user needs to determine technical requirements.O*NET Task ID 14702 | 1.0 |
Develop databases that support Web applications and Web sites.O*NET Task ID 14704 | 1.0 |
Renew domain name registrations.O*NET Task ID 14705 | 1.0 |
Write supporting code for Web applications or Web sites.O*NET Task ID 14707 | 1.0 |
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.O*NET Task ID 14708 | 1.0 |
Perform Web site tests according to planned schedules, or after any Web site or product revision.O*NET Task ID 14710 | 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
Occupation information
この職業に関わる最近の変化
2026年3月: Brookings freelance market study shows web developers less impacted than writers and designers by generative AI, likely due to iterative debugging and integration complexity in software projects.
[出典: Brookings Institution (Hui & Reshef, 2025)]2026年3月: Web developers, part of SOC group 15, saw significant employment deterioration starting early 2022 — before ChatGPT. New graduate entry rates into AI-exposed occupations began declining in 2021, suggesting structural factors beyond generative AI.
[出典: Frank et al. (2026) arXiv:2601.02554]2026年3月: Firm-level data reveals companies redirecting budgets from human contractors to AI tools, with outsourced development work in the direct impact zone.
[出典: Stevens (2026) arXiv]