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JavaScript Object Notation JSON

Software & technology · O*NET

JavaScript Object Notation JSON is a hot technology software tool tracked in the Web platform development software category of O*NET's Technology Skills file. It appears in the technology profile of 26 occupations that together employ about 8,237,250 workers, with a median wage of $104,205. O*NET flags it as a hot technology — a skill frequently requested in job postings.

Across the occupations that use it, the work is 90th percentile for AI task-exposure (High) — how much of what those jobs do overlaps with what today's AI can attempt. That measures the exposure of the work, not the value of the tool or any sign it is being replaced. See where every tool category sits →

Occupations that use this tool

Occupations whose O*NET technology profile lists JavaScript Object Notation JSON, ranked by employment. Wage and employment are BLS OEWS (national, cross-industry, May 2024) and describe the occupation, not an individual or the tool's own market.

Occupation Workers Median pay
Software Developers 1,654,440 $133,080
Management Analysts 893,900 $101,190
Computer User Support Specialists 697,210 $60,340
Computer Systems Analysts 497,800 $103,790
Computer Systems Engineers/Architects 439,380 $108,970
Geographic Information Systems Technologists and Technicians 439,380 $108,970
Information Security Engineers 439,380 $108,970
Information Technology Project Managers 439,380 $108,970
Human Factors Engineers and Ergonomists 350,230 $101,140
Network and Computer Systems Administrators 318,570 $96,800
Automotive Engineers 286,760 $102,320
Business Intelligence Analysts 233,440 $112,590
Data Scientists 233,440 $112,590
Architectural and Engineering Managers 210,340 $167,740
Software Quality Assurance Analysts and Testers 199,800 $102,610
Information Security Analysts 179,430 $124,910
Computer Network Architects 177,010 $130,390
Web and Digital Interface Designers 111,400 $98,090
Computer Programmers 109,870 $98,670
Web Developers 78,860 $90,930
Database Administrators 73,180 $104,620
Database Architects 64,770 $135,980
Bioinformatics Scientists 59,710 $93,330
Remote Sensing Scientists and Technologists 22,580 $117,960
Career/Technical Education Teachers, Middle School 14,200 $63,620
Cartographers and Photogrammetrists 12,790 $78,380
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 26 occupations in occupations that use JavaScript Object Notation JSON. Overlap measures shared tasks with AI, not automation. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Career/Technical Education Teachers, Middle School Architectural and Engineering Managers Remote Sensing Scientists and Technologists Cartographers and Photogrammetrists Computer User Support Specialists Human Factors Engineers and Ergonomists Bioinformatics Scientists Data Scientists AI task-overlap percentile → ↑ Median pay
Occupations that use JavaScript Object Notation JSON, by AI task-overlap and median pay

Related tools

Other software in the Web platform development software category.

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 2, 2026. Figures are estimates, not advice.

Cite this page
Plain

Singulariki. "JavaScript Object Notation JSON." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026. https://singulariki.com/software/javascript-object-notation-json

APA

Singulariki. (2026). JavaScript Object Notation JSON. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/software/javascript-object-notation-json

BibTeX
@misc{singulariki-javascript-object-notation-json,
  title  = {JavaScript Object Notation JSON},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans. Accessed June 7, 2026},
  url    = {https://singulariki.com/software/javascript-object-notation-json}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.