Web开发人员
计算机与数学AI暴露度
- 数据来源: BLS发布时间: '26.08
很高· 相对
低四级相对区间很高职业群单位数值
尺度 · 母数 · 来源
四级相对类别（低 / 中等 / 高 / 很高）
以BLS就业预测表中831个细分职业为基数。取值按 NEM（全国就业矩阵）代码给定，因此共用同一 NEM 代码的职业得到相同分档
- 数据来源: Anthropic发布时间: '26.03
0.480
0.000此处所载数值的范围0.745尺度 · 母数 · 来源
- 数据来源: ILO发布时间: '25
0.60
0.09此处所载数值的范围0.70职业群单位数值
尺度 · 母数 · 来源
生成式AI暴露度指数，按发布原值0–1
ISCO-08职业小类单位 — 共用同一代码的职业取值相同
本站计算，并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中，达到或高于此值的占 4%。
该来源发布的是什么性质的数值
BLS的类别是相对排位而非绝对水平，也不是一手测量：它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测，不是采用概率，也不区分自动化与增强。
Task-level exposure
仅显示有暴露的工作| 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 |
Monitor security system performance logs to identify problems and notify security specialists when problems occur.15-1254 | 0.00000.0 | 0.00000.0 |
Document test plans, testing procedures, or test results.15-1254 | 0.00000.0 | 0.00000.0 |
Research, document, rate, or select alternatives for Web architecture or technologies.15-1254 | 0.00000.0 | 0.00000.0 |
Incorporate technical considerations into Web site design plans, such as budgets, equipment, performance requirements, and legal issues including accessibility and privacy.15-1254 | 0.00000.0 | 0.00000.0 |
Develop databases that support Web applications and Web sites.15-1254 | 0.00000.0 | —0 |
Establish appropriate server directory trees.15-1254 | 0.00000.0 | —0 |
Create Web models or prototypes that include physical, interface, logical, or data models.15-1254 | 0.00000.0 | —0 |
Evaluate or recommend server hardware or software.15-1254 | 0.00000.0 | —0 |
| Not observed on any surface — 9 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Confer with management or development teams to prioritize needs, resolve conflicts, develop content criteria, or choose solutions. | —0 | —0 |
Back up files from Web sites to local directories for instant recovery in case of problems. | —0 | —0 |
Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups. | —0 | —0 |
Renew domain name registrations. | —0 | —0 |
Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites. | —0 | —0 |
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites. | —0 | —0 |
Document technical factors such as server load, bandwidth, database performance, and browser and device types. | —0 | —0 |
Install and configure hypertext transfer protocol (HTTP) servers and associated operating systems. | —0 | —0 |
Design and implement Web site security measures, such as firewalls and message encryption. | —0 | —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
与本职业相关的近期变化
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.
[来源: 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.
[来源: 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.
[来源: Stevens (2026) arXiv]