Information retrieval or search software
Technology category · O*NET
Information retrieval or search software is a technology category in the O*NET database. Across U.S. occupations, 140 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 63rd percentile of AI task-exposure ( moderate) — 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.
Showing the top 40 of 117 products in this category.
Occupations that use Information retrieval or search software
- Accountants and Auditors
- Administrative Law Judges, Adjudicators, and Hearing Officers
- Administrative Services Managers
- Advertising and Promotions Managers
- Agents and Business Managers of Artists, Performers, and Athletes
- Agricultural Sciences Teachers, Postsecondary
- Aircraft Mechanics and Service Technicians
- Aircraft Service Attendants
- Airline Pilots, Copilots, and Flight Engineers
- Anthropology and Archeology Teachers, Postsecondary
- Appraisers and Assessors of Real Estate
- Architecture Teachers, Postsecondary
- Area, Ethnic, and Cultural Studies Teachers, Postsecondary
- Art, Drama, and Music Teachers, Postsecondary
- Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary
- Automotive Service Technicians and Mechanics
- Bill and Account Collectors
- Biochemists and Biophysicists
- Biological Science Teachers, Postsecondary
- Bookkeeping, Accounting, and Auditing Clerks
- Business Intelligence Analysts
- Business Teachers, Postsecondary
- Cardiovascular Technologists and Technicians
- Career/Technical Education Teachers, Middle School
- Career/Technical Education Teachers, Postsecondary
- Career/Technical Education Teachers, Secondary School
- Carpenters
- Cartographers and Photogrammetrists
- Cement Masons and Concrete Finishers
- Chemistry Teachers, Postsecondary
- Claims Adjusters, Examiners, and Investigators
- Climate Change Policy Analysts
- Clinical Nurse Specialists
- Commercial Pilots
- Communications Teachers, Postsecondary
- Compliance Managers
- Computer Hardware Engineers
- Computer Numerically Controlled Tool Operators
- Computer Science Teachers, Postsecondary
- Computer Systems Analysts
Showing 40 of 140 occupations.
How AI is used by roles that use Information retrieval or search software
A software category is not itself "being automated" — but we can look at the roles that report using Information retrieval or search 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. 70.0% of the 140 roles that use this category carry observed AI-usage data (98 roles).
Across those roles, 62.8% of AI conversations are people working with AI and 33.5% hand a task to AI , with an average autonomy of 3.62 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| task iteration | 35.2% | you and AI go back and forth |
| directive | 31.0% | AI does it; you give the instruction |
| learning | 17.4% | you ask AI to explain or teach |
| validation | 10.2% | you do it; AI checks your work |
| feedback loop | 2.5% | 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 |
|---|---|---|
| English Language and Literature Teachers, Postsecondary | 63.2% | 4.0/5 |
| Biological Science Teachers, Postsecondary | 63.2% | 4.0/5 |
| Editors | 68.2% | 4.0/5 |
| Foreign Language and Literature Teachers, Postsecondary | 65.2% | 3.0/5 |
| Educational, Guidance, School, and Vocational Counselors | 70.6% | 4.0/5 |
| Office Clerks, General | 36.5% | 3.0/5 |
| Recreation and Fitness Studies Teachers, Postsecondary | 66.2% | 3.3/5 |
| Social Work Teachers, Postsecondary | 67.2% | 3.5/5 |
| Philosophy and Religion Teachers, Postsecondary | 66.8% | 3.3/5 |
| Education Teachers, Postsecondary | 65.3% | 3.5/5 |
| Geography Teachers, Postsecondary | 65.7% | 3.3/5 |
| Political Science Teachers, Postsecondary | 65.7% | 3.3/5 |
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 Information retrieval or search 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 Information retrieval or search software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Information retrieval or search 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 26.5% of workers are in occupations that significantly use Information retrieval or search software (measured across 67 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Health Care and Social Assistance | 6,322,990 | 27.4% |
| Professional, Scientific, and Technical Services | 6,186,270 | 57.4% |
| Educational Services | 3,649,780 | 26.8% |
| Finance and Insurance | 3,629,170 | 58.3% |
| Wholesale Trade | 2,526,010 | 41.8% |
| Administrative and Support and Waste Management and Remediation Services | 2,326,000 | 25.8% |
| Retail Trade | 2,177,170 | 14.0% |
| Manufacturing | 2,126,610 | 16.7% |
| Construction | 1,941,350 | 23.9% |
| Management of Companies and Enterprises | 1,691,890 | 60.2% |
| Information | 1,592,260 | 54.8% |
| Other Services (except Public Administration) | 1,199,450 | 27.1% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Ambulance Services | National industry | 3.2× | 84.9% |
| Direct Health and Medical Insurance Carriers | National industry | 2.65× | 70.1% |
| Research and Development in the Social Sciences and Humanities | National industry | 2.32× | 61.5% |
| Management of Companies and Enterprises | Sector | 2.27× | 60.2% |
| Television Broadcasting Stations | National industry | 2.27× | 60.2% |
| Finance and Insurance | Sector | 2.2× | 58.3% |
| Professional, Scientific, and Technical Services | Sector | 2.17× | 57.4% |
| Newspaper Publishers | National industry | 2.12× | 56.1% |
| Information | Sector | 2.07× | 54.8% |
| Poured Concrete Foundation and Structure Contractors | National industry | 1.95× | 51.6% |
| Insurance Agencies and Brokerages | National industry | 1.82× | 48.1% |
| Labor Unions and Similar Labor Organizations | National industry | 1.72× | 45.6% |
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. "Information retrieval or search 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/information-retrieval-or-search-software
Singulariki. (2026). Information retrieval or search software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/information-retrieval-or-search-software
@misc{singulariki-information-retrieval-or-search-software,
title = {Information retrieval or search 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/information-retrieval-or-search-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.