Web and Digital Interface Designers
In short: today's best AI models could do about 63% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 87% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 13% of the time, stays with people.
Design digital user interfaces or websites. Develop and test layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. May use web framework applications as well as client-side code and processes. May evaluate web design following web and accessibility standards, and may analyze web use metrics and optimize websites for marketability and search engine ranking. May design and test interfaces that facilitate the human-computer interaction and maximize the usability of digital devices, websites, and software with a focus on aesthetics and design. May create graphics used in websites and manage website content and links.
113,330 people do this job in the US. $104,000 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on5 h
- A person checks AI's work20 h
- Desk work AI can't do yet10 h
- Stays with people5 h
Web and Digital Interface Designers, now: of a 40-hour week, AI could take on 5 hours, 20 hours become checking its work, 10 hours are desk work it can't do yet, and 5 hours stay with people.
The largest pieces: Write supporting code (about 3 h, a person checks); Research design solutions (about 2 h, a person checks); Create models and prototypes (about 2 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 78%
- 10%
- 11%
- 2%
- 0%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 63% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 11%. Today's estimate: 63%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 1.8% went to this job's tasks in May 2026, the 8th largest of the 447 jobs that showed up at all; 15 of its 30 tasks showed up. Within each of Anthropic's methods, never across a change: 1.2% to 1.9% (released February and March 2025); 1.5% to 1.4% (August 2025 to February 2026); 1.9% to 1.8% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 1.2% | 15 of 708 | 16 of 30 |
| Released March 2025 | 1.9% | 7 of 703 | 17 of 30 |
| The week of Aug 4, 2025 (released September 2025) | 1.5% | 11 of 655 | 15 of 30 |
| The week of Nov 13, 2025 (released January 2026) | 1.6% | 12 of 672 | 15 of 30 |
| The week of Feb 5, 2026 (released March 2026) | 1.4% | 14 of 677 | 15 of 30 |
| April 2026 (released June 2026) | 1.9% | 9 of 434 | 15 of 30 |
| May 2026 (released June 2026) | 1.8% | 8 of 447 | 15 of 30 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates almost none of this job's working time as physical work, so robots do not reach it.
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
12% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Develop e-commerce strategies, the conversation, 3%
- Collaborate with developers, the conversation, 3%
- Keep up with web technologies, the in-person work, 2%
- Conduct user research, the conversation, 2%
- Develop visual design concepts, the conversation, 1%
- Run pre-production, the conversation, 0.9%
What becomes checking the machine
73% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 14% is desk work that is small if wrong, which can be handed over with lighter checks.
- Write supporting code, costly if wrong, 9%
- Build and maintain sites, costly if wrong, 9%
- Create models and prototypes, costly if wrong, 7%
- Develop visual design concepts, costly if wrong, 6%
- Research design solutions, costly if wrong, 6%
- Test the site, costly if wrong, 4%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 78% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 30 tasks from .
| Task | ||||
|---|---|---|---|---|
| Write supporting code for Web applications or Web sites.Code written for the site.Done daily by most who do it. AI observed on this task. | 9% | 3.3 h50 min to 1.7 work days | Documents 100% | 71%Half by now |
| Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.Sites built in scripting and content tools.Done hourly or more by most who do it. AI observed on this task. | 9% | 6.7 h1.7 h to 4.2 work days | Documents 80%, systems 20% | 40%Half by Jan 2027 |
| Develop new visual design concepts and modify concepts based on stakeholder feedback.Concepts designed and revised on feedback.Done daily by most who do it. | 7% | 6.7 h1.7 h to 2.5 work days | Documents 80%, conversation 20% | 44%Desk part half by now |
| Create Web models or prototypes that include physical, interface, logical, or data models.Prototypes and models built.Done more than monthly by most who do it. | 7% | 6.7 h1.7 h to 2.5 work days | Documents 100% | 55%Half by now |
| Research and apply innovative solutions for product design, visuals, and user experience to meet the needs of individual Web development projects.Research and design work on paper.Done more than yearly by most who do it. | 6% | 5 h1.7 h to 1.3 work days | Documents 100% | 89%Half by now |
| Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites.Conversations with management and users, with the strategy written.Done more than monthly by most who do it. AI observed on this task. | 5% | 5 h1.7 h to 2.1 work days | Conversation 60%, documents 40% | 29%Desk part half by now |
| Collaborate with web development professionals, such as front-end or back-end developers, to complete the full scope of Web development projects.Conversations with front-end and back-end developers, with the work.Done daily by most who do it. | 5% | 3.3 h50 min to 1.3 work days | Conversation 60%, documents 40% | 32%Desk part half by now |
| Direct and execute pre-production activities, such as creating moodboards or storyboards and establishing a project timeline.Moodboards, storyboards and the timeline, with conversations.Done more than yearly by most who do it. | 4% | 5 h1.7 h to 1.7 work days | Documents 80%, conversation 20% | 64%Desk part half by now |
| Develop and document style guidelines for Web site content.Guidelines written.Done more than yearly by most who do it. AI observed on this task. | 4% | 5 h1.7 h to 1.7 work days | Documents 100% | 80%Half by now |
| Perform Web site tests according to planned schedules, or after any Web site or product revision.Tests run on the site and checked.Done more than weekly by most who do it. | 4% | 3.3 h50 min to 6.7 h | Systems 60%, documents 40% | 91%Half by now |
| Develop, validate, and document test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.Test routines written and run.Done daily by most who do it. | 4% | 5 h1.7 h to 2.1 work days | Documents 70%, systems 30% | 73%Half by now |
| Research, document, rate, or select alternatives for Web architecture or technologies.Alternatives researched and rated.Done more than yearly by most who do it. AI observed on this task. | 4% | 5 h1.7 h to 2.1 work days | Documents 100% | 73%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
- Computer Systems Design and Related Services17,950 people
- Software Publishers16,970 people
- Management of Companies and Enterprises6,280 people
- Management, Scientific, and Technical Consulting Services6,140 people
- Media Streaming Distribution Services, Social Networks, and Other Media Networks and Content Providers4,900 people
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Web and Digital Interface Designers is within reach of AI now?
- An estimated 63% of the working time is within reach of AI models now and 87% by the end of 2028, on METR's long-run pace at four in five (85% to 87% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Web and Digital Interface Designers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Write supporting code (71% of the task's time now, 100% by the end of 2028); Research design solutions (89% of the task's time now, 100% by the end of 2028); and Create models and prototypes (55% of the task's time now, 100% by the end of 2028).
- Which tasks of Web and Digital Interface Designers stay with people?
- Every task has a desk part, so each can come partly within reach; the conversation, in-person and hands-on parts of each task stay with people, about 13% of the working time.
- What should Web and Digital Interface Designers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; and briefing a model and checking its drafts. By the end of 2028 on the long-run pace at four in five, about 12% of the working time stays with people, 73% becomes checking a model's work and 14% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Web and Digital Interface Designers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 1.8% went to this job's tasks, the 8th largest share of the 447 jobs that showed up; 15 of its 30 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 25%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Web and Digital Interface Designers?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 30 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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