网页和数字界面设计师
计算机与数学AI暴露度
- 数据来源: BLS发布时间: 2026-08
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: 2026-03
0.249
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: 2025
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
显示隐藏的 33 项工作| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Write supporting code for Web applications or Web sites.15-1255 | 0.510021.0 | 0.510030.0 |
Develop new visual design concepts and modify concepts based on stakeholder feedback.15-1255 | 0.390016.0 | 0.08004.7 |
Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction.15-1255 | 0.350014.4 | 0.330019.4 |
Research and apply innovative solutions for product design, visuals, and user experience to meet the needs of individual Web development projects.15-1255 | 0.300012.3 | 0.10005.9 |
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.15-1255 | 0.22009.1 | 0.14008.2 |
Prepare two-dimensional concept layouts or three-dimensional mock-ups.15-1255 | 0.16006.6 | 0.03001.8 |
Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.15-1255 | 0.10004.1 | 0.03001.8 |
Direct and execute pre-production activities, such as creating moodboards or storyboards and establishing a project timeline.15-1255 | 0.09003.7 | 0.15008.8 |
Respond to user email inquiries, or set up automated systems to send responses.15-1255 | 0.08003.3 | 0.13007.6 |
Perform or direct Web site updates.15-1255 | 0.06002.5 | 0.13007.6 |
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 |
|---|---|
Collaborate with web development professionals, such as front-end or back-end developers, to complete the full scope of Web development projects.O*NET Task ID 21686 | 1.0 |
Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.O*NET Task ID 21687 | 1.0 |
Create searchable indices for Web page content.O*NET Task ID 21690 | 1.0 |
Create Web models or prototypes that include physical, interface, logical, or data models.O*NET Task ID 21691 | 1.0 |
Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.O*NET Task ID 21692 | 1.0 |
Develop and document style guidelines for Web site content.O*NET Task ID 21693 | 1.0 |
Develop or implement procedures for ongoing Web site revision.O*NET Task ID 21695 | 1.0 |
Develop system interaction or sequence diagrams.O*NET Task ID 21696 | 1.0 |
Develop, validate, and document test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.O*NET Task ID 21698 | 1.0 |
Document technical factors such as server load, bandwidth, database performance, and browser and device types.O*NET Task ID 21700 | 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