As of August 2026, UX Designer has an AI-exposure score of 55/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

UX Designer

55/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 46% of the roles we track. Median pay ~US$98,000.

Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.

Will AI replace UX Designer?

No exposure score can predict whether AI will replace this role. The 55/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 closest reviewed source

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.

Common titles
Web ArchitectWeb Design SpecialistWeb DesignerWebmasterTechnology Applications Engineer
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Design toolsInteraction design

Source: O*NET 29.1 closest reviewed source - Web and Digital Interface Designers, SOC 15-1255.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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UX Designer tasks, by AI exposure

O*NET Web and Digital Interface Designers is the reviewed source for this UX design profile. The subset covers user research, collaboration, prototypes, style systems, visual concepts, interaction diagrams, templates, testing, feedback, accessibility, specifications, tools, and documentation while excluding site administration, hosting, ecommerce, SEO, architecture, and coding work. How we map tasks →

Automatable
  • Produce wireframes and prototypes
  • Iterate on design variations
  • 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: Web and Digital Interface Designers
Augmentable
  • Design user flows
  • Identify problems uncovered by testing or customer feedback, and correct problems or refer problems to appropriate personnel for correction. O*NET: Web and Digital Interface Designers
8 more augmentable tasks locked in the report.
Durable
  • Validate with users
  • Incorporate technical considerations into Web site design plans, such as budgets, equipment, performance requirements, or legal issues including accessibility and privacy. O*NET: Web and Digital Interface Designers
5 more durable tasks locked in the report.

We analyzed all 20 UX Designer tasks - 3 automatable, 10 augmentable and 7 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

Relatedness shows how reachable a move may be. A path is labeled lower exposure only when its score is at least 6 points lower; every row shows the measured difference.

Product Manager
74% skills overlap; 7 points lower - lower exposure; Moderate band; ~US$134,290
View path
48
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Produce wireframes and prototypes

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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