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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.

Software / tool Occupations Tags
SAP software 283 Hot In demand
Microsoft Dynamics 99
Oracle PeopleSoft 79 Hot
Oracle JD Edwards EnterpriseOne 68
Microsoft Dynamics GP 49
Oracle Hyperion 49
NetSuite ERP 48
SAP Business Objects 48
Oracle PeopleSoft Financials 41
Oracle Fusion Applications 38
Management information systems MIS 16
Workday software 13 Hot In demand
IBM Maximo Asset Management 7
ERP software 6
Microsoft Dynamics AX 6
SAP ERP 5 Hot
Ab Initio 5
Epicor Vantage ERP 5
Infor ERP SyteLine 5
Sage ERP Accpac 5
Sage MAS 200 ERP 5
Exact Software Macola ES 4
Oracle E-Business Suite 4
Aptean Made2Manage 3
Bowen & Groves M1 ERP 3
Delivery operations information system DOIS 3
Enterprise resource planning ERP system 3
Exact MAX 3
Infor ERP Baan 3
Informatica Corporation PowerCenter 3
Manufacturing resource planning MRP software 3
Microsoft Dynamics NAV 3
Microsoft Dynamics SL 3
SAP Business One 3
SYSPRO business software 3
Sage 100 ERP 3
Sage MAS 90 ERP 3
WorkTech MAXIMO 3
ACS Technologies HeadMaster 2
ADP software 2

Showing the top 40 of 266 products in this category.

Occupations that use Enterprise resource planning ERP software

Showing 40 of 367 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 Enterprise resource planning ERP 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 Automotive Glass Installers and Repairers Boilermakers Agricultural Equipment Operators Aircraft Structure, Surfaces, Rigging, and Systems Assemblers Animal Trainers Aircraft Mechanics and Service Technicians Automotive Service Technicians and Mechanics Bakers Administrative Services Managers Agricultural Technicians Aviation Inspectors Acute Care Nurses Automotive Engineering Technicians Airfield Operations Specialists Aerospace Engineering and Operations Technologists and Technicians Biofuels/Biodiesel Technology and Product Development Managers Adult Basic Education, Adult Secondary Education, and English as a Second Language Instructors Administrative Law Judges, Adjudicators, and Hearing Officers Biochemists and Biophysicists Architectural and Civil Drafters Advertising and Promotions Managers Advertising Sales Agents AI task-overlap percentile → ↑ Median pay
Occupations that use Enterprise resource planning ERP software, by AI task-overlap and median pay

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.

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

Cite this page
Plain

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

APA

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

BibTeX
@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.