Map creation software
Technology category · O*NET
Map creation software is a technology category in the O*NET database. Across U.S. occupations, 87 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 52nd 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 111 products in this category.
Occupations that use Map creation software
- Agricultural Equipment Operators
- Ambulance Drivers and Attendants, Except Emergency Medical Technicians
- Anthropologists and Archeologists
- Anthropology and Archeology Teachers, Postsecondary
- Appraisers and Assessors of Real Estate
- Architectural and Civil Drafters
- Atmospheric and Space Scientists
- Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary
- Biological Technicians
- Bus Drivers, School
- Bus Drivers, Transit and Intercity
- Cartographers and Photogrammetrists
- Civil Engineering Technologists and Technicians
- Civil Engineers
- Commercial Pilots
- Concierges
- Construction and Building Inspectors
- Desktop Publishers
- Detectives and Criminal Investigators
- Dispatchers, Except Police, Fire, and Ambulance
- Dredge Operators
- Driver/Sales Workers
- Emergency Management Directors
- Environmental Engineering Technologists and Technicians
- Environmental Engineers
- Environmental Science and Protection Technicians, Including Health
- Environmental Scientists and Specialists, Including Health
- Epidemiologists
- Farmers, Ranchers, and Other Agricultural Managers
- First-Line Supervisors of Farming, Fishing, and Forestry Workers
- First-Line Supervisors of Firefighting and Prevention Workers
- First-Line Supervisors of Material-Moving Machine and Vehicle Operators
- First-Line Supervisors of Police and Detectives
- Fish and Game Wardens
- Fishing and Hunting Workers
- Forest Fire Inspectors and Prevention Specialists
- Forest and Conservation Technicians
- Forest and Conservation Workers
- Foresters
- Forestry and Conservation Science Teachers, Postsecondary
Showing 40 of 87 occupations.
How AI is used by roles that use Map creation software
A software category is not itself "being automated" — but we can look at the roles that report using Map creation 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. 50.6% of the 87 roles that use this category carry observed AI-usage data (44 roles).
Across those roles, 60.8% of AI conversations are people working with AI and 33.7% hand a task to AI , with an average autonomy of 3.70 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| task iteration | 32.4% | you and AI go back and forth |
| directive | 31.7% | AI does it; you give the instruction |
| learning | 15.9% | you ask AI to explain or teach |
| validation | 12.5% | you do it; AI checks your work |
| feedback loop | 2.0% | 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 |
|---|---|---|
| Geography Teachers, Postsecondary | 65.7% | 3.3/5 |
| Atmospheric, Earth, Marine, and Space Sciences Teachers, Postsecondary | 66.3% | 4.0/5 |
| History Teachers, Postsecondary | 65.1% | 3.5/5 |
| Forestry and Conservation Science Teachers, Postsecondary | 65.3% | 4.0/5 |
| Anthropology and Archeology Teachers, Postsecondary | 63.1% | 4.0/5 |
| Historians | 45.3% | 4.0/5 |
| Operations Research Analysts | 55.2% | 4.0/5 |
| Real Estate Sales Agents | 62.2% | 3.0/5 |
| Desktop Publishers | 46.4% | 3.0/5 |
| Biological Technicians | 55.5% | 4.0/5 |
| Survey Researchers | 42.5% | 3.0/5 |
| Photonics Engineers | 63.5% | 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 Map creation 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 Map creation software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Map creation 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 5.1% of workers are in occupations that significantly use Map creation software (measured across 64 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Professional, Scientific, and Technical Services | 1,748,450 | 16.2% |
| Transportation and Warehousing | 972,950 | 13.2% |
| Construction | 779,440 | 9.6% |
| Information | 483,110 | 16.6% |
| Finance and Insurance | 479,790 | 7.7% |
| Educational Services | 469,270 | 3.4% |
| Manufacturing | 397,390 | 3.1% |
| Administrative and Support and Waste Management and Remediation Services | 351,670 | 3.9% |
| Management of Companies and Enterprises | 284,620 | 10.1% |
| Wholesale Trade | 275,240 | 4.6% |
| Real Estate and Rental and Leasing | 219,580 | 9.3% |
| Accommodation and Food Services | 219,460 | 1.5% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Engineering Services | National industry | 7.61× | 38.8% |
| Newspaper Publishers | National industry | 3.92× | 20.0% |
| Testing Laboratories and Services | National industry | 3.59× | 18.3% |
| Television Broadcasting Stations | National industry | 3.39× | 17.3% |
| Research and Development in the Social Sciences and Humanities | National industry | 3.29× | 16.8% |
| Information | Sector | 3.25× | 16.6% |
| Professional, Scientific, and Technical Services | Sector | 3.18× | 16.2% |
| Transportation and Warehousing | Sector | 2.59× | 13.2% |
| Power and Communication Line and Related Structures Construction | National industry | 2.12× | 10.8% |
| Mining, Quarrying, and Oil and Gas Extraction | Sector | 2.06× | 10.5% |
| Management of Companies and Enterprises | Sector | 1.98× | 10.1% |
| Poured Concrete Foundation and Structure Contractors | National industry | 1.98× | 10.1% |
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. "Map creation 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/map-creation-software
Singulariki. (2026). Map creation software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/map-creation-software
@misc{singulariki-map-creation-software,
title = {Map creation 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/map-creation-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.