Application server software
Technology category · O*NET
Application server software is a technology category in the O*NET database. Across U.S. occupations, 54 report using software or tools in this category. The named products below are the specific examples O*NET records for those jobs. The occupations that use it sit, on average, at the 88th percentile of AI task-exposure ( high) — how much that work overlaps with what AI can do, not a sign the tool is being replaced. See where every tool category sits.
A Hot tag marks technologies O*NET sees frequently in employer job postings; In demand marks tools an occupation specifically requires.
Example software & tools
Ranked by how many occupations list each product. Each number is an occupation count — a job is counted once per product — so the product rows overlap and do not sum to the category total.
| Software / tool | Occupations | Tags |
|---|---|---|
| GitHub | 35 | Hot In demand |
| Docker | 28 | Hot In demand |
| Oracle WebLogic Server | 25 | |
| Red Hat WildFly | 20 | |
| Kubernetes | 15 | Hot In demand |
| Red Hat OpenShift | 14 | Hot |
| Spring Boot | 14 | Hot In demand |
| Apache HTTP Server | 5 | |
| Microservices Architecture | 5 | |
| Oracle Application Server | 5 | |
| Atlassian Bitbucket | 4 | Hot |
| GitLab | 4 | Hot |
| VMWare ESX Server | 4 | |
| Microsoft Windows Server | 3 | Hot |
| Citrix XenApp | 2 | |
| Amazon Elastic Container Service ECS | 1 | |
| CloudWorks | 1 | |
| Code hosting software | 1 | |
| Google Compute Engine (GCE) | 1 | |
| Linux Virtual Server | 1 | |
| Microsoft Virtual Server | 1 | |
| Progress OpenEdge Application Server | 1 |
Occupations that use Application server software
- Airfield Operations Specialists
- Architectural and Engineering Managers
- Bioinformatics Scientists
- Blockchain Engineers
- Business Intelligence Analysts
- Career/Technical Education Teachers, Middle School
- Computer Network Architects
- Computer Programmers
- Computer Systems Analysts
- Computer Systems Engineers/Architects
- Computer User Support Specialists
- Computer and Information Research Scientists
- Computer and Information Systems Managers
- Data Scientists
- Data Warehousing Specialists
- Database Administrators
- Database Architects
- Digital Forensics Analysts
- Document Management Specialists
- Electrical and Electronics Drafters
- Food Science Technicians
- Forest Fire Inspectors and Prevention Specialists
- Forestry and Conservation Science Teachers, Postsecondary
- Geneticists
- Geographic Information Systems Technologists and Technicians
- Human Resources Specialists
- Industrial Engineers
- Information Security Analysts
- Information Security Engineers
- Information Technology Project Managers
- Labor Relations Specialists
- Management Analysts
- Marketing Managers
- Network and Computer Systems Administrators
- Nuclear Monitoring Technicians
- Nuclear Technicians
- Operations Research Analysts
- Penetration Testers
- Photographic Process Workers and Processing Machine Operators
- Project Management Specialists
Showing 40 of 54 occupations.
How AI is used by roles that use Application server software
A software category is not itself "being automated" — but we can look at the roles that report using Application server software and ask how those people actually use AI. This rolls the Anthropic Economic Index per-role signal up across those roles, weighted by how much observed AI activity each one has. 40.7% of the 54 roles that use this category carry observed AI-usage data (22 roles).
Across those roles, 55.4% of AI conversations are people working with AI and 39.3% hand a task to AI , with an average autonomy of 3.94 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| task iteration | 36.9% | you and AI go back and forth |
| directive | 35.8% | AI does it; you give the instruction |
| learning | 11.7% | you ask AI to explain or teach |
| validation | 6.8% | you do it; AI checks your work |
| feedback loop | 3.6% | AI does it, then adjusts from your feedback |
Roles behind this signal
The roles using this category that have the most AEI data. "Works with AI" is the role's share of conversations that augment rather than automate.
| Occupation | Works with AI | Autonomy |
|---|---|---|
| Technical Writers | 54.2% | 4.0/5 |
| Forestry and Conservation Science Teachers, Postsecondary | 65.3% | 4.0/5 |
| Bioinformatics Scientists | 44.5% | 4.0/5 |
| Operations Research Analysts | 55.2% | 4.0/5 |
| Career/Technical Education Teachers, Middle School | 47.5% | 4.0/5 |
| Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products | 54.8% | 3.0/5 |
| Human Resources Specialists | 43.8% | 3.8/5 |
| Sales Engineers | 54.1% | 4.0/5 |
| Computer and Information Systems Managers | 67.7% | 4.0/5 |
| Management Analysts | 62.4% | 4.0/5 |
| Marketing Managers | 63.3% | 4.0/5 |
| Architectural and Engineering Managers | 66.3% | 4.0/5 |
Source: Anthropic Economic Index (2026-01-15-v4-plus-2025-03-27-v2) over a sample of Claude.ai Free and Pro conversations — not all AI tools and not the whole workforce. Roles list software categories in O*NET; this does not mean AI is used inside Application server software, only that people in those roles use AI. Some conversations are left unclassified, so shares need not sum to 100.
Industries that concentrate this
Where Application server software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Application server software (O*NET importance ≥ 3 of 5, or report using the tool category). Concentration compares that reach to the national average industry, so a value above 1× means the requirement is more pervasive here than across the economy as a whole.
Nationally, about 7.5% of workers are in occupations that significantly use Application server software (measured across 65 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Professional, Scientific, and Technical Services | 3,212,040 | 29.8% |
| Wholesale Trade | 1,226,770 | 20.3% |
| Manufacturing | 1,165,690 | 9.1% |
| Information | 981,200 | 33.7% |
| Finance and Insurance | 849,810 | 13.6% |
| Management of Companies and Enterprises | 743,590 | 26.5% |
| Administrative and Support and Waste Management and Remediation Services | 642,790 | 7.1% |
| Educational Services | 468,370 | 3.4% |
| Health Care and Social Assistance | 396,520 | 1.7% |
| Construction | 313,060 | 3.9% |
| Retail Trade | 201,840 | 1.3% |
| Other Services (except Public Administration) | 176,030 | 4.0% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Labor Unions and Similar Labor Organizations | National industry | 6.37× | 47.8% |
| Information | Sector | 4.49× | 33.7% |
| Professional, Scientific, and Technical Services | Sector | 3.97× | 29.8% |
| Management of Companies and Enterprises | Sector | 3.53× | 26.5% |
| Engineering Services | National industry | 3.45× | 25.9% |
| Direct Health and Medical Insurance Carriers | National industry | 3.25× | 24.4% |
| Wholesale Trade | Sector | 2.71× | 20.3% |
| Research and Development in the Social Sciences and Humanities | National industry | 2.68× | 20.1% |
| Nuclear Electric Power Generation | National industry | 2.56× | 19.2% |
| Farm and Garden Machinery and Equipment Merchant Wholesalers | National industry | 1.97× | 14.8% |
| Testing Laboratories and Services | National industry | 1.92× | 14.4% |
| Finance and Insurance | Sector | 1.81× | 13.6% |
Reach is a measure of how widespread a requirement is across an industry's workforce, not how intensively any individual uses it. Sector worker counts come from BLS OEWS employment; the significance threshold and tool use come from O*NET. Industries shown by concentration are filtered to a real worker base so a tiny specialty cannot top the list on rounding.
Sources for this page
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.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- Census NAICS 2022 U.S. Census Bureau
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
Data compiled June 3, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Application server software." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/tools/application-server-software
Singulariki. (2026). Application server software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/application-server-software
@misc{singulariki-application-server-software,
title = {Application server software},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; Census NAICS 2022; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
url = {https://singulariki.com/tools/application-server-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.