Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 15-1254.00
Develop and implement websites, web applications, application databases, and interactive web interfaces. Evaluate code to ensure that it is properly structured, meets industry standards, and is compatible with browsers and devices. Optimize website performance, scalability, and server-side code and processes. May develop website infrastructure and integrate websites with other computer applications.
Also called: Web Architect · Web Design Specialist · Web Developer · Webmaster · Technology Applications Engineer · Back End Developer · Back End Engineer · Back End Software Engineer · Back-End Web Developer · Computer Graphic Artist · Computer Graphic Designer · Front End Developer
Job family: Computer and Mathematical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-15-1254-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
99th-percentile task overlap — yet about 5,400 openings a year (+7.5% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) High | 97th | 0.4 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.9), with simple added tooling (β 0.9), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Design, build, or maintain Web sites, using authoring or scripting languages, content creation tools, management tools, and digital media. | 236.2% | |
| Maintain understanding of current Web technologies or programming practices through continuing education, reading, or participation in professional conferences, workshops, or groups. | 43.5% | |
| Write supporting code for Web applications or Web sites. | 41.1% | |
| Evaluate code to ensure that it is valid, is properly structured, meets industry standards, and is compatible with browsers, devices, or operating systems. | 26.9% | |
| Develop or implement procedures for ongoing Web site revision. | 10.4% | |
| Evaluate or recommend server hardware or software. | 5.5% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +7.5% by 2034 |
| Projected annual openings | 5,400 |
| Employment 2024 → 2034 | 86,000 → 92,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 29 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Computers and Electronics | 4.4 | |
| English Language | 3.5 | |
| Mathematics | 3.4 | |
| Communications and Media | 3.2 | |
| Customer and Personal Service | 3.0 | |
| Design | 3.0 |
| Programming | 4.1 | |
| Complex Problem Solving | 3.6 | |
| Operations Analysis | 3.6 | |
| Judgment and Decision Making | 3.4 | |
| Systems Analysis | 3.1 | |
| Coordination | 3.0 | |
| Systems Evaluation | 3.0 | |
| Time Management | 3.0 |
| Deductive Reasoning | 3.9 | |
| Oral Comprehension | 3.8 | |
| Written Comprehension | 3.6 | |
| Problem Sensitivity | 3.6 | |
| Near Vision | 3.6 | |
| Inductive Reasoning | 3.5 | |
| Information Ordering | 3.5 | |
| Speech Recognition | 3.4 | |
| Speech Clarity | 3.4 | |
| Oral Expression | 3.3 | |
| Fluency of Ideas | 3.3 | |
| Category Flexibility | 3.3 | |
| Written Expression | 3.1 | |
| Originality | 3.1 | |
| Mathematical Reasoning | 3.1 | |
| Flexibility of Closure | 3.1 | |
| Visualization | 3.1 | |
| Selective Attention | 3.1 | |
| Perceptual Speed | 3.0 |
| Critical Thinking | 3.8 | |
| Reading Comprehension | 3.6 | |
| Active Listening | 3.5 | |
| Active Learning | 3.5 | |
| Speaking | 3.3 | |
| Writing | 3.1 | |
| Monitoring | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 132.
Showing the top 40 of 251.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Computer and Information Sciences and Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 45.8% | |
| Post-Secondary Certificate | 16.7% | |
| Associate's Degree (or other 2-year degree) | 16.7% | |
| High School Diploma | 8.3% | |
| Less than a High School Diploma | 4.2% | |
| Some College Courses | 4.2% | |
| Post-Baccalaureate Certificate | 4.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Information Technology | 6.6 | |
| Mathematics/Statistics | 2.7 | |
| Applied Arts and Design | 2.5 | |
| Visual Arts | 2.5 | |
| Media | 2.4 | |
| Management/Administration | 2.2 |
| Conventional | 5.0 | |
| Investigative | 5.0 | |
| Artistic | 3.1 | |
| Realistic | 3.0 | |
| Enterprising | 3.0 | |
| Social | 2.2 |
| Dependability | 5.0 | |
| Attention to Detail | 4.0 | |
| Intellectual Curiosity | 3.0 | |
| Innovation | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $48,560 |
| 25th percentile | $63,140 |
| Median (50th) | $90,930 |
| 75th percentile | $124,300 |
| 90th percentile | $162,870 |
| People employed | 78,860 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 34,260 | $85,070 |
| Information · Sector | 11,950 | $113,800 |
| Educational Services · Sector | 6,350 | $82,080 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 4,540 | $115,690 |
| Finance and Insurance · Sector | 3,780 | $114,590 |
| Wholesale Trade · Sector | 3,210 | $77,620 |
| Management of Companies and Enterprises · Sector | 3,020 | $101,010 |
| Manufacturing · Sector | 2,890 | $85,640 |
| Retail Trade · Sector | 2,270 | $61,440 |
| Temporary Help Services · National industry | 2,210 | $123,840 |
| Other Services (except Public Administration) · Sector | 2,010 | $81,350 |
| Health Care and Social Assistance · Sector | 1,090 | $84,500 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Information · Sector | 8.04× | 11,950 |
| Professional, Scientific, and Technical Services · Sector | 6.22× | 34,260 |
| Research and Development in the Social Sciences and Humanities · National industry | 6.11× | 190 |
| Newspaper Publishers · National industry | 4.31× | 200 |
| Direct Health and Medical Insurance Carriers · National industry | 2.39× | 550 |
| Management of Companies and Enterprises · Sector | 2.1× | 3,020 |
| Temporary Help Services · National industry | 1.63× | 2,210 |
| Sporting Goods Retailers · National industry | 1.58× | 240 |
Part of the Arts, Entertainment, & Design and Digital Technology career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Web Developers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Web Developers show 99th-percentile AI task overlap — and about 5,400 annual U.S. openings
Web Developers show 99th-percentile AI task overlap — and about 5,400 annual U.S. openings • Web Developers rank in the 99th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 5,400 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+7.5%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $90,930, across about 78,860 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Web Developers". https://singulariki.com/roles/role-15-1254-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Web Developers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-15-1254-00
Singulariki. (2026). Web Developers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1254-00
@misc{singulariki-role-15-1254-00,
title = {Web Developers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-1254-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.