Cloud-based management 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.

Occupations that use Cloud-based management software

• Architectural and Engineering Managers
• Aviation Inspectors
• Bioengineers and Biomedical Engineers
• Blockchain Engineers
• Business Intelligence Analysts
• Career/Technical Education Teachers, Middle School
• Computer Network Architects
• Computer Network Support Specialists
• Computer Programmers
• Computer Systems Analysts
• Computer Systems Engineers/Architects
• Computer User Support Specialists
• Computer and Information Research Scientists
• Computer and Information Systems Managers
• Computer, Automated Teller, and Office Machine Repairers
• Customs and Border Protection Officers
• Data Scientists
• Data Warehousing Specialists
• Database Administrators
• Database Architects
• Document Management Specialists
• Electrical and Electronic Engineering Technologists and Technicians
• Food Science Technicians
• Forest Fire Inspectors and Prevention Specialists
• Fraud Examiners, Investigators and Analysts
• General and Operations Managers
• Geographic Information Systems Technologists and Technicians
• Industrial Ecologists
• Information Security Analysts
• Information Security Engineers
• Information Technology Project Managers
• Intelligence Analysts
• Library Science Teachers, Postsecondary
• Management Analysts
• Marketing Managers
• Network and Computer Systems Administrators
• Online Merchants
• Operations Research Analysts
• Penetration Testers
• Physicists

Showing 40 of 52 occupations.

How AI is used by roles that use Cloud-based management software

A software category is not itself "being automated" — but we can look at the roles that report using Cloud-based management 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. 38.5% of the 52 roles that use this category carry observed AI-usage data (20 roles).

Across those roles, 51.3% of AI conversations are people working with AI and 41.2% hand a task to AI , with an average autonomy of 3.47 / 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 Cloud-based management 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 Cloud-based management software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Cloud-based management 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 9.8% of workers are in occupations that significantly use Cloud-based management 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-cloud-based-management-software,
  title  = {Cloud-based management 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/cloud-based-management-software}
}