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 15-1299.01
Manage web environment design, deployment, development and maintenance activities. Perform testing and quality assurance of web sites and web applications.
Also called: Corporate Webmaster · Web Site Manager · Web Technologies Administrator · Webmaster · Web Administrator · Web Content Coordinator · Web Content Manager · Web Director · Web Manager · Administrator (Admin) · Content Publisher · Implementer
Job family: Computer and Mathematical Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-15-1299-01/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.
97th-percentile task overlap — yet about 31,300 openings a year (+8.2% 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 | 88th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.8), 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.
| Determine sources of Web page or server problems, and take action to correct such problems. | 85.8% | |
| Develop or implement procedures for ongoing Web site revision. | 10.4% | |
| Evaluate or recommend server hardware or software. | 5.5% | |
| Identify, standardize, and communicate levels of access and security. | 5.2% | |
| Review or update Web page content or links in a timely manner, using appropriate tools. | 4.8% | |
| Develop or document style guidelines for Web site content. | 3.7% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +8.2% by 2034 |
| Projected annual openings | 31,300 |
| Employment 2024 → 2034 | 472,000 → 510,500 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 35 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).
| Critical Thinking | 4.0 | |
| Reading Comprehension | 3.9 | |
| Active Listening | 3.8 | |
| Monitoring | 3.4 | |
| Writing | 3.3 | |
| Speaking | 3.3 | |
| Active Learning | 3.1 | |
| Learning Strategies | 3.0 |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 3.9 | |
| Problem Sensitivity | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Near Vision | 3.9 | |
| Inductive Reasoning | 3.8 | |
| Written Expression | 3.6 | |
| Information Ordering | 3.4 | |
| Speech Recognition | 3.3 | |
| Speech Clarity | 3.3 | |
| Fluency of Ideas | 3.1 | |
| Category Flexibility | 3.1 | |
| Originality | 3.0 | |
| Flexibility of Closure | 3.0 |
| Complex Problem Solving | 3.8 | |
| Judgment and Decision Making | 3.4 | |
| Systems Evaluation | 3.4 | |
| Systems Analysis | 3.3 | |
| Programming | 3.1 | |
| Quality Control Analysis | 3.1 | |
| Coordination | 3.0 | |
| Instructing | 3.0 | |
| Time Management | 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 76.
Showing the top 40 of 117.
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: Biological and Biomedical Sciences , Computer and Information Sciences and Support Services , Health Professions and Related Programs , Homeland Security, Law Enforcement, Firefighting and Related Protective Services , Multi/Interdisciplinary Studies , Physical Sciences . 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 | 55.0% | |
| Some College Courses | 15.0% | |
| Associate's Degree (or other 2-year degree) | 15.0% | |
| High School Diploma | 5.0% | |
| Post-Secondary Certificate | 5.0% | |
| Post-Master's Certificate | 5.0% |
The interests and personal qualities O*NET associates with people who do this work.
| Information Technology | 6.5 | |
| Management/Administration | 3.6 | |
| Business Initiatives | 2.3 | |
| Mechanics/Electronics | 2.3 | |
| Media | 2.3 | |
| Marketing/Advertising | 2.3 | |
| Mathematics/Statistics | 2.2 |
| Conventional | 5.5 | |
| Investigative | 4.4 | |
| Enterprising | 3.8 | |
| Realistic | 2.5 | |
| Artistic | 2.4 | |
| Social | 2.3 |
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Cautiousness | 2.3 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $52,650 |
| 25th percentile | $76,360 |
| Median (50th) | $108,970 |
| 75th percentile | $147,530 |
| 90th percentile | $176,800 |
| People employed | 439,380 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 15-1299), not for the specialty alone.
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 | 130,160 | $106,200 |
| Information · Sector | 43,000 | $126,550 |
| Finance and Insurance · Sector | 28,690 | $126,080 |
| Management of Companies and Enterprises · Sector | 25,660 | $127,600 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 24,880 | $96,000 |
| Manufacturing · Sector | 21,020 | $102,950 |
| Educational Services · Sector | 18,100 | $79,900 |
| Temporary Help Services · National industry | 13,460 | $95,780 |
| Wholesale Trade · Sector | 13,130 | $100,550 |
| Health Care and Social Assistance · Sector | 11,030 | $83,320 |
| Engineering Services · National industry | 9,590 | $108,370 |
| Transportation and Warehousing · Sector | 7,000 | $65,350 |
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 |
|---|---|---|
| Research and Development in the Social Sciences and Humanities · National industry | 7.16× | 1,240 |
| Information · Sector | 5.19× | 43,000 |
| Professional, Scientific, and Technical Services · Sector | 4.24× | 130,160 |
| Management of Companies and Enterprises · Sector | 3.21× | 25,660 |
| Direct Health and Medical Insurance Carriers · National industry | 3.02× | 3,860 |
| Engineering Services · National industry | 2.91× | 9,590 |
| Temporary Help Services · National industry | 1.78× | 13,460 |
| Finance and Insurance · Sector | 1.62× | 28,690 |
Part of the Digital Technology and Public Service & Safety 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 Administrators — 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 Administrators show 97th-percentile AI task overlap — and about 31,300 annual U.S. openings
Web Administrators show 97th-percentile AI task overlap — and about 31,300 annual U.S. openings • Web Administrators rank in the 97th 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 31,300 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 (+8.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $108,970, across about 439,380 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Web Administrators". https://singulariki.com/roles/role-15-1299-01 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
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 Administrators." 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-15-1299-01
Singulariki. (2026). Web Administrators. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1299-01
@misc{singulariki-role-15-1299-01,
title = {Web Administrators},
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-15-1299-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.