Program testing 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 77 products in this category.

Occupations that use Program testing software

• Aerospace Engineering and Operations Technologists and Technicians
• Architectural and Engineering Managers
• Art Directors
• Automotive Engineers
• Bioengineers and Biomedical Engineers
• Bioinformatics Scientists
• Blockchain Engineers
• Business Intelligence Analysts
• Career/Technical Education Teachers, Middle School
• Computer Hardware Engineers
• 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, Automated Teller, and Office Machine Repairers
• Database Administrators
• Database Architects
• Digital Forensics Analysts
• Electrical Engineers
• Electrical and Electronic Engineering Technologists and Technicians
• Electrical and Electronics Repairers, Commercial and Industrial Equipment
• Electro-Mechanical and Mechatronics Technologists and Technicians
• Fashion Designers
• Human Factors Engineers and Ergonomists
• Industrial Ecologists
• Industrial Engineers
• Information Security Analysts
• Information Technology Project Managers
• Inspectors, Testers, Sorters, Samplers, and Weighers
• Lighting Technicians
• Management Analysts
• Mathematicians
• Mechatronics Engineers
• Microsystems Engineers
• Network and Computer Systems Administrators
• Penetration Testers
• Photonics Engineers

Showing 40 of 55 occupations.

How AI is used by roles that use Program testing software

A software category is not itself "being automated" — but we can look at the roles that report using Program testing 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. 50.9% of the 55 roles that use this category carry observed AI-usage data (28 roles).

Across those roles, 47.9% of AI conversations are people working with AI and 43.4% hand a task to AI , with an average autonomy of 3.91 / 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 Program testing 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 Program testing software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Program testing 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 6.2% of workers are in occupations that significantly use Program testing 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-program-testing-software,
  title  = {Program testing 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/program-testing-software}
}