Transaction server software
Technology category · O*NET
Transaction server software is a technology category in the O*NET database. Across U.S. occupations, 39 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 82nd 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 |
|---|---|---|
| Customer information control system CICS | 29 | |
| Microsoft Internet Information Services (IIS) | 9 | In demand |
| Web server software | 8 | In demand |
| IBM Middleware | 6 | |
| Tumbleweed SecureTransport | 3 | |
| Object Management Group Object Request Broker | 2 | |
| Armand Morin MultiTrack Generator | 1 | |
| BEA Tuxedo | 1 | |
| Microsoft Internet Information Services (IIS) Manager | 1 | In demand |
| Sun Microsystems Sun ONE | 1 |
Occupations that use Transaction server software
- Accountants and Auditors
- Aerospace Engineering and Operations Technologists and Technicians
- Agents and Business Managers of Artists, Performers, and Athletes
- Animal Trainers
- Architectural and Engineering Managers
- Bookkeeping, Accounting, and Auditing Clerks
- Business Intelligence Analysts
- Computer Network Architects
- Computer Network Support Specialists
- Computer Programmers
- Computer Systems Analysts
- Computer Systems Engineers/Architects
- Computer User Support Specialists
- Computer and Information Systems Managers
- Data Warehousing Specialists
- Database Administrators
- Database Architects
- Digital Forensics Analysts
- General and Operations Managers
- Information Security Analysts
- Information Security Engineers
- Information Technology Project Managers
- Loan Officers
- Management Analysts
- Marketing Managers
- Mathematicians
- Network and Computer Systems Administrators
- Paralegals and Legal Assistants
- Penetration Testers
- Quality Control Analysts
- Secretaries and Administrative Assistants, Except Legal, Medical, and Executive
- Securities, Commodities, and Financial Services Sales Agents
- Security Management Specialists
- Software Developers
- Software Quality Assurance Analysts and Testers
- Sound Engineering Technicians
- Web Administrators
- Web Developers
- Web and Digital Interface Designers
How AI is used by roles that use Transaction server software
A software category is not itself "being automated" — but we can look at the roles that report using Transaction 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. 35.9% of the 39 roles that use this category carry observed AI-usage data (14 roles).
Across those roles, 48.5% of AI conversations are people working with AI and 41.4% hand a task to AI , with an average autonomy of 3.48 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 36.5% | AI does it; you give the instruction |
| task iteration | 24.8% | you and AI go back and forth |
| learning | 20.0% | you ask AI to explain or teach |
| feedback loop | 4.9% | AI does it, then adjusts from your feedback |
| validation | 3.8% | you do it; AI checks your work |
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 |
|---|---|---|
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 36.3% | 3.0/5 |
| Mathematicians | 44.6% | 4.0/5 |
| Agents and Business Managers of Artists, Performers, and Athletes | 74.1% | 4.0/5 |
| Bookkeeping, Accounting, and Auditing Clerks | 39.3% | 3.0/5 |
| 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 |
| Loan Officers | 63.6% | 4.0/5 |
| Paralegals and Legal Assistants | 51.9% | 3.0/5 |
| General and Operations Managers | 46.8% | 3.5/5 |
| Sound Engineering Technicians | 37.4% | 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 Transaction 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 Transaction server software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Transaction 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 11.4% of workers are in occupations that significantly use Transaction server software (measured across 67 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Professional, Scientific, and Technical Services | 4,324,710 | 40.2% |
| Finance and Insurance | 1,986,580 | 31.9% |
| Information | 1,094,470 | 37.6% |
| Manufacturing | 1,066,480 | 8.4% |
| Management of Companies and Enterprises | 978,820 | 34.8% |
| Educational Services | 976,240 | 7.2% |
| Administrative and Support and Waste Management and Remediation Services | 953,050 | 10.6% |
| Wholesale Trade | 854,360 | 14.2% |
| Health Care and Social Assistance | 824,670 | 3.6% |
| Retail Trade | 756,880 | 4.9% |
| Construction | 654,410 | 8.1% |
| Other Services (except Public Administration) | 546,040 | 12.3% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Professional, Scientific, and Technical Services | Sector | 3.53× | 40.2% |
| Information | Sector | 3.3× | 37.6% |
| Management of Companies and Enterprises | Sector | 3.05× | 34.8% |
| Finance and Insurance | Sector | 2.8× | 31.9% |
| Labor Unions and Similar Labor Organizations | National industry | 2.7× | 30.8% |
| Direct Health and Medical Insurance Carriers | National industry | 2.38× | 27.1% |
| Research and Development in the Social Sciences and Humanities | National industry | 2.29× | 26.1% |
| Engineering Services | National industry | 2.05× | 23.4% |
| Testing Laboratories and Services | National industry | 1.43× | 16.3% |
| Insurance Agencies and Brokerages | National industry | 1.39× | 15.8% |
| Real Estate and Rental and Leasing | Sector | 1.26× | 14.4% |
| Wholesale Trade | Sector | 1.25× | 14.2% |
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. "Transaction 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/transaction-server-software
Singulariki. (2026). Transaction server software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/transaction-server-software
@misc{singulariki-transaction-server-software,
title = {Transaction 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/transaction-server-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.