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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

Showing 40 of 54 occupations.

Exposure quadrant: AI task-overlap percentile vs Median pay AI task-overlap (horizontal) versus median pay (vertical), each as a percentile across all scored occupations, for 40 occupations in occupations that use Application server software. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Forest Fire Inspectors and Prevention Specialists Food Science Technicians Photographic Process Workers and Processing Machine Operators Nuclear Technicians Career/Technical Education Teachers, Middle School Airfield Operations Specialists Labor Relations Specialists Computer and Information Research Scientists Computer User Support Specialists Information Security Analysts Electrical and Electronics Drafters Industrial Engineers Penetration Testers AI task-overlap percentile → ↑ Median pay
Occupations that use Application server software, by AI task-overlap and median pay

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.

Data compiled June 3, 2026. Figures are estimates, not advice.

Cite this page
Plain

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

APA

Singulariki. (2026). Application server software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/application-server-software

BibTeX
@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.