Human resources software

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 239 products in this category.

Occupations that use Human resources software

• Accountants and Auditors
• Administrative Services Managers
• Animal Scientists
• Bookkeeping, Accounting, and Auditing Clerks
• Budget Analysts
• Business Intelligence Analysts
• Chief Executives
• Compensation and Benefits Managers
• Compensation, Benefits, and Job Analysis Specialists
• Compliance Managers
• Computer Network Architects
• Computer Programmers
• Computer Systems Analysts
• Computer Systems Engineers/Architects
• Computer User Support Specialists
• Computer and Information Systems Managers
• Construction Managers
• Critical Care Nurses
• Crossing Guards and Flaggers
• Customer Service Representatives
• Data Warehousing Specialists
• Database Administrators
• Education Administrators, Kindergarten through Secondary
• Education Administrators, Postsecondary
• Educational, Guidance, and Career Counselors and Advisors
• Entertainment and Recreation Managers, Except Gambling
• Equal Opportunity Representatives and Officers
• Executive Secretaries and Executive Administrative Assistants
• Facilities Managers
• Financial Managers
• Financial Risk Specialists
• Financial and Investment Analysts
• Fire Inspectors and Investigators
• First-Line Supervisors of Food Preparation and Serving Workers
• First-Line Supervisors of Office and Administrative Support Workers
• First-Line Supervisors of Production and Operating Workers
• First-Line Supervisors of Retail Sales Workers
• Fitness and Wellness Coordinators
• Food Service Managers
• Fundraising Managers

Showing 40 of 89 occupations.

How AI is used by roles that use Human resources software

A software category is not itself "being automated" — but we can look at the roles that report using Human resources 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. 61.8% of the 89 roles that use this category carry observed AI-usage data (55 roles).

Across those roles, 51.9% of AI conversations are people working with AI and 40.1% hand a task to AI , with an average autonomy of 3.54 / 5.

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.

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 Human resources 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 Human resources software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Human resources 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 26.9% of workers are in occupations that significantly use Human resources software (measured across 67 industries).

Sectors with the most such workers

Industries where it is most concentrated

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.

@misc{singulariki-human-resources-software,
  title  = {Human resources 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/human-resources-software}
}