Enterprise resource planning ERP software
Technology category · O*NET
Enterprise resource planning ERP software is a technology category in the O*NET database. Across U.S. occupations, 367 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 58th 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 266 products in this category.
Occupations that use Enterprise resource planning ERP software
- Accountants and Auditors
- Acute Care Nurses
- Adhesive Bonding Machine Operators and Tenders
- Administrative Law Judges, Adjudicators, and Hearing Officers
- Administrative Services Managers
- Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors
- Advertising Sales Agents
- Advertising and Promotions Managers
- Aerospace Engineering and Operations Technologists and Technicians
- Aerospace Engineers
- Agricultural Engineers
- Agricultural Equipment Operators
- Agricultural Technicians
- Air Traffic Controllers
- Aircraft Mechanics and Service Technicians
- Aircraft Structure, Surfaces, Rigging, and Systems Assemblers
- Airfield Operations Specialists
- Animal Control Workers
- Animal Scientists
- Animal Trainers
- Arbitrators, Mediators, and Conciliators
- Architectural and Civil Drafters
- Architectural and Engineering Managers
- Athletes and Sports Competitors
- Automotive Engineering Technicians
- Automotive Engineers
- Automotive Glass Installers and Repairers
- Automotive Service Technicians and Mechanics
- Aviation Inspectors
- Avionics Technicians
- Bakers
- Bill and Account Collectors
- Billing and Posting Clerks
- Biochemists and Biophysicists
- Bioengineers and Biomedical Engineers
- Biofuels/Biodiesel Technology and Product Development Managers
- Bioinformatics Scientists
- Bioinformatics Technicians
- Biostatisticians
- Boilermakers
Showing 40 of 367 occupations.
How AI is used by roles that use Enterprise resource planning ERP software
A software category is not itself "being automated" — but we can look at the roles that report using Enterprise resource planning ERP 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. 59.7% of the 367 roles that use this category carry observed AI-usage data (219 roles).
Across those roles, 54.3% of AI conversations are people working with AI and 37.0% hand a task to AI , with an average autonomy of 3.63 / 5.
| Collaboration pattern | Share | What it means |
|---|---|---|
| directive | 32.0% | AI does it; you give the instruction |
| task iteration | 30.7% | you and AI go back and forth |
| learning | 18.6% | you ask AI to explain or teach |
| feedback loop | 5.0% | AI does it, then adjusts from your feedback |
| validation | 5.0% | 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 |
|---|---|---|
| Educational, Guidance, School, and Vocational Counselors | 70.6% | 4.0/5 |
| Technical Writers | 54.2% | 4.0/5 |
| Office Clerks, General | 36.5% | 3.0/5 |
| Forestry and Conservation Science Teachers, Postsecondary | 65.3% | 4.0/5 |
| Secretaries and Administrative Assistants, Except Legal, Medical, and Executive | 36.3% | 3.0/5 |
| Adult Basic and Secondary Education and Literacy Teachers and Instructors | 70.9% | 4.0/5 |
| Computer Science Teachers, Postsecondary | 68.5% | 4.0/5 |
| Mental Health Counselors | 70.6% | 4.0/5 |
| Sales Representatives, Wholesale and Manufacturing, Technical and Scientific Products | 51.1% | 3.0/5 |
| Bioinformatics Scientists | 44.5% | 4.0/5 |
| Advertising and Promotions Managers | 61.8% | 4.0/5 |
| Operations Research Analysts | 55.2% | 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 Enterprise resource planning ERP 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 Enterprise resource planning ERP software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Enterprise resource planning ERP 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 53.2% of workers are in occupations that significantly use Enterprise resource planning ERP software (measured across 67 industries).
Sectors with the most such workers
| Sector | Workers | Employment reach |
|---|---|---|
| Retail Trade | 10,436,230 | 66.9% |
| Manufacturing | 8,963,820 | 70.2% |
| Professional, Scientific, and Technical Services | 8,729,230 | 81.1% |
| Health Care and Social Assistance | 7,272,840 | 31.5% |
| Finance and Insurance | 5,651,870 | 90.8% |
| Transportation and Warehousing | 5,463,300 | 73.9% |
| Wholesale Trade | 4,952,090 | 82.0% |
| Administrative and Support and Waste Management and Remediation Services | 4,607,170 | 51.0% |
| Construction | 4,248,100 | 52.3% |
| Educational Services | 3,453,840 | 25.3% |
| Management of Companies and Enterprises | 2,472,850 | 88.0% |
| Accommodation and Food Services | 2,416,010 | 17.0% |
Industries where it is most concentrated
| Industry | Level | Concentration | Employment reach |
|---|---|---|---|
| Wind Electric Power Generation | National industry | 1.81× | 96.3% |
| Labor Unions and Similar Labor Organizations | National industry | 1.78× | 94.8% |
| Finance and Insurance | Sector | 1.71× | 90.8% |
| Engineering Services | National industry | 1.7× | 90.6% |
| Insurance Agencies and Brokerages | National industry | 1.69× | 90.0% |
| Testing Laboratories and Services | National industry | 1.67× | 89.1% |
| Management of Companies and Enterprises | Sector | 1.65× | 88.0% |
| Direct Health and Medical Insurance Carriers | National industry | 1.61× | 85.8% |
| Electrical Contractors and Other Wiring Installation Contractors | National industry | 1.6× | 85.0% |
| Machine Shops | National industry | 1.57× | 83.7% |
| Wholesale Trade | Sector | 1.54× | 82.0% |
| Sporting Goods Retailers | National industry | 1.54× | 81.9% |
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. "Enterprise resource planning ERP 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/enterprise-resource-planning-erp-software
Singulariki. (2026). Enterprise resource planning ERP software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/enterprise-resource-planning-erp-software
@misc{singulariki-enterprise-resource-planning-erp-software,
title = {Enterprise resource planning ERP 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/enterprise-resource-planning-erp-software}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.