Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 15-1252.00
Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities. May work with computer hardware engineers to integrate hardware and software systems, and develop specifications and performance requirements. May maintain databases within an application area, working individually or coordinating database development as part of a team.
Also called: Developer · Software Architect · Software Developer · Software Engineer · Application Developer · Application Integration Engineer · DevOps Engineer (Development Operations Engineer) · Infrastructure Engineer · Software Development Engineer · Systems Engineer · AI Specialist (Artificial Intelligence Specialist) · Application Analyst
Job family: Computer and Mathematical Occupations
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/roles/role-15-1252-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
91st-percentile task overlap — yet about 115,200 openings a year (+15.8% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 85th | 0.9 | |
| AI assistant applicability (Microsoft) High | 85th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.8), with simple added tooling (β 0.9), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Analyze user needs and software requirements to determine feasibility of design within time and cost constraints. | 33.7% | |
| Store, retrieve, and manipulate data for analysis of system capabilities and requirements. | 10.1% | |
| Prepare reports or correspondence concerning project specifications, activities, or status. | 6.4% | |
| Consult with customers or other departments on project status, proposals, or technical issues, such as software system design or maintenance. | 4.5% | |
| Analyze information to determine, recommend, and plan installation of a new system or modification of an existing system. | 1.9% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | Growing fast · +15.8% by 2034 |
| Projected annual openings | 115,200 |
| Employment 2024 → 2034 | 1,693,800 → 1,961,400 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Computers and Electronics | 4.8 | |
| Mathematics | 3.6 | |
| Customer and Personal Service | 3.6 | |
| English Language | 3.3 | |
| Education and Training | 2.8 |
| Programming | 4.0 | |
| Judgment and Decision Making | 3.6 | |
| Systems Analysis | 3.5 | |
| Complex Problem Solving | 3.4 | |
| Technology Design | 3.4 | |
| Systems Evaluation | 3.4 | |
| Operations Analysis | 3.3 | |
| Time Management | 3.1 | |
| Coordination | 3.0 | |
| Social Perceptiveness | 2.9 | |
| Instructing | 2.9 | |
| Service Orientation | 2.9 |
| Critical Thinking | 3.9 | |
| Reading Comprehension | 3.5 | |
| Active Learning | 3.5 | |
| Active Listening | 3.4 | |
| Writing | 3.3 | |
| Speaking | 3.1 | |
| Monitoring | 3.0 |
| Oral Comprehension | 3.8 | |
| Written Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Near Vision | 3.8 | |
| Information Ordering | 3.6 | |
| Written Expression | 3.5 | |
| Inductive Reasoning | 3.5 | |
| Category Flexibility | 3.5 | |
| Speech Recognition | 3.4 | |
| Fluency of Ideas | 3.3 | |
| Originality | 3.1 | |
| Selective Attention | 3.1 | |
| Speech Clarity | 3.0 | |
| Mathematical Reasoning | 2.9 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 157.
Showing the top 40 of 430.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Computer and Information Sciences and Support Services , Engineering , Engineering/Engineering-Related Technologies/Technicians , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 84.8% | |
| Associate's Degree (or other 2-year degree) | 5.1% | |
| Master's Degree | 4.5% | |
| High School Diploma | 3.1% | |
| Post-Secondary Certificate | 1.7% | |
| Post-Baccalaureate Certificate | 0.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Information Technology | 6.6 | |
| Mathematics/Statistics | 5.1 | |
| Engineering | 4.6 | |
| Mechanics/Electronics | 2.8 | |
| Management/Administration | 2.3 |
| Investigative | 6.0 | |
| Conventional | 5.6 | |
| Realistic | 3.6 | |
| Artistic | 2.4 |
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Intellectual Curiosity | 4.0 | |
| Achievement Orientation | 3.0 | |
| Innovation | 2.5 | |
| Adaptability | 2.1 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $79,850 |
| 25th percentile | $103,050 |
| Median (50th) | $133,080 |
| 75th percentile | $169,000 |
| 90th percentile | $211,450 |
| People employed | 1,654,440 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 690,860 | $130,250 |
| Information · Sector | 330,980 | $161,640 |
| Finance and Insurance · Sector | 160,000 | $132,880 |
| Manufacturing · Sector | 141,300 | $134,910 |
| Management of Companies and Enterprises · Sector | 99,720 | $133,650 |
| Wholesale Trade · Sector | 63,860 | $131,640 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 63,100 | $133,040 |
| Engineering Services · National industry | 34,950 | $129,610 |
| Temporary Help Services · National industry | 27,990 | $135,510 |
| Educational Services · Sector | 21,840 | $104,110 |
| Transportation and Warehousing · Sector | 17,620 | $150,900 |
| Health Care and Social Assistance · Sector | 15,840 | $123,550 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Information · Sector | 10.61× | 330,980 |
| Professional, Scientific, and Technical Services · Sector | 5.98× | 690,860 |
| Management of Companies and Enterprises · Sector | 3.31× | 99,720 |
| Direct Health and Medical Insurance Carriers · National industry | 3.21× | 15,480 |
| Engineering Services · National industry | 2.82× | 34,950 |
| Finance and Insurance · Sector | 2.39× | 160,000 |
| Testing Laboratories and Services · National industry | 1.65× | 3,010 |
| Research and Development in the Social Sciences and Humanities · National industry | 1.15× | 750 |
Part of the Arts, Entertainment, & Design and Digital Technology career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Software Developers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Software Developers show 91st-percentile AI task overlap — and about 115,200 annual U.S. openings
Software Developers show 91st-percentile AI task overlap — and about 115,200 annual U.S. openings • Software Developers rank in the 91st percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 115,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be growing fast (+15.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $133,080, across about 1,654,440 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Software Developers". https://singulariki.com/roles/role-15-1252-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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.
Singulariki. "Software Developers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-15-1252-00
Singulariki. (2026). Software Developers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-1252-00
@misc{singulariki-role-15-1252-00,
title = {Software Developers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-1252-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.