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Compiler and decompiler software

Technology category · O*NET

Compiler and decompiler software is a technology category in the O*NET database. Across U.S. occupations, 12 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 85th percentile of AI task-exposure ( high) — 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
Disassembler software 3 In demand
Command interpreters 2
Compilers 2
Low-level virtual machine LLVM compilers 2
Cadence Encounter RTL Compiler 1
Code generator software 1
Decompilers 1
Greenhills Ada compilers 1
Hex-Rays IDA Pro 1
Incremental compiler software 1
Inline code expander software 1
Interpreter software 1
Just-in-time compiler 1
Mixed code generator 1
One pass compiler software 1
Partial class generator software 1
Polaris parallelizing compilers 1
Rabbit Semiconductor Dynamic C 1
Retargetable compiler 1
Threaded code compiler 1
Time sharing option TSO software 1
Vector 35 Binary Ninja 1

Occupations that use Compiler and decompiler software

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 12 occupations in occupations that use Compiler and decompiler 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 Rail Car Repairers Aircraft Mechanics and Service Technicians Robotics Engineers Computer and Information Research Scientists Insurance Appraisers, Auto Damage Network and Computer Systems Administrators Computer Systems Analysts AI task-overlap percentile → ↑ Median pay
Occupations that use Compiler and decompiler software, by AI task-overlap and median pay

How AI is used by roles that use Compiler and decompiler software

A software category is not itself "being automated" — but we can look at the roles that report using Compiler and decompiler 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. 33.3% of the 12 roles that use this category carry observed AI-usage data (4 roles).

Across those roles, 49.4% of AI conversations are people working with AI and 43.8% hand a task to AI , with an average autonomy of 4.00 / 5.

Collaboration pattern Share What it means
directive 30.1% AI does it; you give the instruction
learning 24.7% you ask AI to explain or teach
task iteration 21.8% you and AI go back and forth
feedback loop 13.7% AI does it, then adjusts from your feedback
validation 3.0% 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
Computer Hardware Engineers 52.2% 4.0/5
Robotics Engineers 42.0% 4.0/5
Electronics Engineers, Except Computer 45.3% 4.0/5
Insurance Appraisers, Auto Damage

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 Compiler and decompiler 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 Compiler and decompiler software matters most across the economy. Employment reach is the share of an industry's workers in occupations that significantly use Compiler and decompiler 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 1.1% of workers are in occupations that significantly use Compiler and decompiler software (measured across 59 industries).

Sectors with the most such workers

Sector Workers Employment reach
Professional, Scientific, and Technical Services 546,300 5.1%
Manufacturing 192,800 1.5%
Information 147,010 5.1%
Finance and Insurance 133,990 2.2%
Management of Companies and Enterprises 123,590 4.4%
Transportation and Warehousing 119,690 1.6%
Educational Services 91,000 0.7%
Administrative and Support and Waste Management and Remediation Services 84,200 0.9%
Health Care and Social Assistance 64,660 0.3%
Wholesale Trade 59,340 1.0%
Other Services (except Public Administration) 14,100 0.3%
Utilities 12,750 2.2%

Industries where it is most concentrated

Industry Level Concentration Employment reach
Engineering Services National industry 4.73× 5.2%
Professional, Scientific, and Technical Services Sector 4.64× 5.1%
Information Sector 4.64× 5.1%
Management of Companies and Enterprises Sector 4.4%
Direct Health and Medical Insurance Carriers National industry 3.73× 4.1%
Testing Laboratories and Services National industry 2.73× 3.0%
Finance and Insurance Sector 2.2%
Utilities Sector 2.2%
Temporary Help Services National industry 1.55× 1.7%
Transportation and Warehousing Sector 1.45× 1.6%
Manufacturing Sector 1.36× 1.5%
Insurance Agencies and Brokerages National industry 1.09× 1.2%

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. "Compiler and decompiler 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/compiler-and-decompiler-software

APA

Singulariki. (2026). Compiler and decompiler software. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/tools/compiler-and-decompiler-software

BibTeX
@misc{singulariki-compiler-and-decompiler-software,
  title  = {Compiler and decompiler 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/compiler-and-decompiler-software}
}

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