AI Automation Index

Will AI Replace Web and Digital Interface Designers?

Task-level automation exposure for Web and Digital Interface Designers: 30 O*NET tasks scored against their work activities, plus the simulator.

E-E-A-T Verified

Developed & audited by Gini Loh

Automation Exposure

66% weighted task index

30 of 30 tasks scored

Median Salary

$104,000 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

113,330 people hold this job — size, not growth

Projected 2025–35

+6.0% employment change

8,300 openings a year · BLS line item

Pay by state

BLS OEWS publishes 48 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$31,200 – $136,110

Highest medians

California $136,110

Washington $130,480

New York $120,990

Massachusetts $113,540

New Hampshire $111,150

Lowest medians

Guam $31,200

Mississippi $48,550

Puerto Rico $48,700

Alabama $51,860

New Mexico $53,300

State figures come from the 15-1255 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 66%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 42%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 12%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 14/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

30 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 74%

23 tasks

Medium exposure (≥ 35%) 26%

7 tasks

Low exposure (below 35%) 0%

0 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Emerging & rewritten tasks

Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.

New 08/2026 · Incumbent

Optimize webpages for search engine rankings.

Constituent Tasks

#21702 · Core · 61% automatable

Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction.

decision support — IT troubleshooting collaboration well-supported by AI

Troubleshoot issues with computer applications or systems. Resolve computer software problems. Collaborate with others to resolve information technology issues.

#21692 · Core · 74% automatable

Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media.

text generation — Website content updates automatable

Design websites or web applications. Update website content.

#21714 · Core · 75% automatable

Write supporting code for Web applications or Web sites.

text generation — Code generation strong; human reviews and integrates

Design websites or web applications. Write computer programming code.

#21706 · Core · 72% automatable

Perform Web site tests according to planned schedules, or after any Web site or product revision.

data analysis — AI can run and analyze software performance tests

Test software performance.

#21686 · Core · 55% automatable

Collaborate with web development professionals, such as front-end or back-end developers, to complete the full scope of Web development projects.

interpersonal — Collaborative spec-setting requires human negotiation

Collaborate with others to determine design specifications or details.

#21694 · Core · 56% automatable

Develop new visual design concepts and modify concepts based on stakeholder feedback.

visual inspection — Creates data graphics; accuracy and design review human

Implement design or process improvements. Prepare graphics or other visual representations of information.

#21704 · Core · 80% automatable

Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups.

information retrieval — AI scans trend sources; human weighs relevance

Update knowledge about emerging industry or technology trends.

#21711 · Core · 45% automatable

Respond to user email inquiries, or set up automated systems to send responses.

interpersonal — Customer service is relational and accountability-bearing

Provide customer service to clients or users.

#21688 · Core · 61% automatable

Conduct user research to determine design requirements and analyze user feedback to improve design quality.

data analysis — Evaluates operations from data; human owns conclusions

Gather customer or product information to determine customer needs. Analyze operational data to evaluate operations, processes or products.

#21705 · Core · 80% automatable

Perform or direct Web site updates.

text generation — Website content updates automatable

Update website content.

#21701 · Core · 80% automatable

Identify or maintain links to and from other Web sites and check links to ensure proper functioning.

text generation — Website content updates automatable

Update website content.

#21699 · Core · 56% automatable

Direct and execute pre-production activities, such as creating moodboards or storyboards and establishing a project timeline.

text generation — Generative image tools produce visuals; human curates

Create images or other visual displays. Develop detailed project plans. Supervise information technology personnel.

#21687 · Core · 59% automatable

Communicate with network personnel or Web site hosting agencies to address hardware or software issues affecting Web sites.

decision support — IT troubleshooting collaboration well-supported by AI

Collaborate with others to resolve information technology issues. Provide technical support for computer network issues.

#21709 · Core · 57% automatable

Research and apply innovative solutions for product design, visuals, and user experience to meet the needs of individual Web development projects.

text generation — Generative image tools produce visuals; human curates

Conduct research to gain information about products or processes. Create images or other visual displays.

#21693 · Core · 75% automatable

Develop and document style guidelines for Web site content.

text generation — Draft procedure docs from described process

Develop specifications or procedures for website development or maintenance. Document design or development procedures.

#21712 · Core · 68% automatable

Select programming languages, design tools, or applications.

text generation — Web app code generated; design and review human

Design websites or web applications.

#21689 · Core · 62% automatable

Confer with management or development teams to prioritize needs, resolve conflicts, develop content criteria, or choose solutions.

decision support — IT troubleshooting collaboration well-supported by AI

Collaborate with others to resolve information technology issues.

#21713 · Core · 72% automatable

Write and edit technical documentation for digital interface products and designs, such as user manuals, testing protocols, and reports.

text generation — Reports/evaluations drafted; human owns judgment

Write reports or evaluations.

#21698 · Core · 69% automatable

Develop, validate, and document test routines and schedules to ensure that test cases mimic external interfaces and address all browser and device types.

data analysis — AI can run and analyze software performance tests

Test software performance. Develop testing routines or procedures.

#21697 · Core · 66% automatable

Develop Web site maps, application models, image templates, or page templates that meet project goals, user needs, or industry standards.

visual inspection — Creates data graphics; accuracy and design review human

Prepare graphics or other visual representations of information. Develop models of information or communications systems.

#21703 · Core · 70% automatable

Incorporate technical considerations into Web site design plans, such as budgets, equipment, performance requirements, or legal issues including accessibility and privacy.

text generation — Web spec drafting well-suited to AI

Develop specifications or procedures for website development or maintenance.

#21710 · Core · 61% automatable

Research, document, rate, or select alternatives for Web architecture or technologies.

text generation — Draft procedure docs from described process

Conduct research to gain information about products or processes. Document design or development procedures.

#21685 · Supplemental · 50% automatable

Collaborate with management or users to develop e-commerce strategies and to integrate these strategies with Web sites.

interpersonal — Strategy collaboration needs human buy-in and judgment

Collaborate with others to develop or implement marketing strategies.

#21691 · Supplemental · 60% automatable

Create Web models or prototypes that include physical, interface, logical, or data models.

data analysis — AI models comms systems; engineer verifies performance

Develop models of information or communications systems.

#21707 · Supplemental · 70% automatable

Provide clear, detailed descriptions of Web site specifications, such as product features, activities, software, communication protocols, programming languages, and operating systems software and hardware.

text generation — Web spec drafting well-suited to AI

Develop specifications or procedures for website development or maintenance.

#21700 · Supplemental · 80% automatable

Document technical factors such as server load, bandwidth, database performance, and browser and device types.

text generation — Draft network activity documentation from inputs

Document network-related activities or tasks.

#21695 · Supplemental · 70% automatable

Develop or implement procedures for ongoing Web site revision.

text generation — Web spec drafting well-suited to AI

Develop specifications or procedures for website development or maintenance.

#21708 · Supplemental · 80% automatable

text generation — Website content updates automatable

Update website content.

#21690 · Supplemental · 68% automatable

Create searchable indices for Web page content.

text generation — Web app code generated; design and review human

Design websites or web applications.

#21696 · Supplemental · 70% automatable

Develop system interaction or sequence diagrams.

visual inspection — Generates flow charts; system accuracy verified by human

Develop diagrams or flow charts of system operation.

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Community Sentiment

Do you agree?

Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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