AI exposure by occupation, O*NET 15-1253.00
Will AI replace Software Quality Assurance Analysts and Testers?
Software Quality Assurance Analysts and Testers: AI can already handle 19 of 30 tasks; the work mostly needs a frontier-tier model.
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Every task, scored
The 30 tasks O*NET 30.3 lists for Software Quality Assurance Analysts and Testers, from most to least exposed. 19 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Identify, analyze, and document problems with program function, output, online screen, or content. | Observed | Frontier | |
| Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance. | Observed | Frontier | |
| Provide feedback and recommendations to developers on software usability and functionality. | Observed | Frontier | |
| Collaborate with field staff or customers to evaluate or diagnose problems and recommend possible solutions. | Observed | Frontier | |
| Document test procedures to ensure replicability and compliance with standards. | Estimated | Standard | |
| Test system modifications to prepare for implementation. | Estimated | Frontier | |
| Monitor bug resolution efforts and track successes. | Estimated | Frontier | |
| Update automated test scripts to ensure currency. | Estimated | Frontier | |
| Conduct software compatibility tests with programs, hardware, operating systems, or network environments. | Estimated | Standard | |
| Investigate customer problems referred by technical support. | Estimated | Standard | |
| Conduct historical analyses of test results. | Estimated | Frontier | |
| Store, retrieve, and manipulate data for analysis of system capabilities and requirements. | Estimated | Standard | |
| Monitor program performance to ensure efficient and problem-free operations. | Observed | Frontier | |
| Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems. | Estimated | Standard | |
| Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks. | Estimated | Frontier | |
| Visit beta testing sites to evaluate software performance. | Estimated | Standard | |
| Evaluate or recommend software for testing or bug tracking. | Estimated | Standard | |
| Identify program deviance from standards, and suggest modifications to ensure compliance. | Observed | Standard | |
| Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation. | Estimated | Frontier | |
| Document software defects, using a bug tracking system, and report defects to software developers. | Estimated | Efficient | |
| Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability. | Estimated | Frontier | |
| Design test plans, scenarios, scripts, or procedures. | Estimated | Frontier | |
| Develop or specify standards, methods, or procedures to determine product quality or release readiness. | Estimated | Frontier | |
| Plan test schedules or strategies in accordance with project scope or delivery dates. | Estimated | Frontier | |
| Design or develop automated testing tools. | Estimated | Frontier | |
| Coordinate user or third-party testing. | Estimated | Standard | |
| Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source. | Observed | Efficient | |
| Install, maintain, or use software testing programs. | Estimated | Efficient | |
| Create or maintain databases of known test defects. | Estimated | Standard | |
| Install and configure recreations of software production environments to allow testing of software performance. | Estimated | Standard |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 7 of 30 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 23 of 30. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.
The model tier this role needs
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.
Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.
Wages, employment and outlook
- US employment
- 186,740
- Median annual wage
- $104,300
- Middle half of earners
- $80,310 to $133,180
- Projected change, 2024 to 2034
- +10.0%
Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.
Adjacent roles
The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.
- Software Developers 67% skill overlap, about 12 months to move Exposure60
- Quality Control Analysts 65% skill overlap, about 12 months to move Exposure52
- Computer Systems Analysts 65% skill overlap, about 13 months to move Exposure67
- Penetration Testers 64% skill overlap, about 13 months to move Exposure60
- Computer Programmers 63% skill overlap, about 13 months to move Exposure64
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Software Quality Assurance Analysts and Testers and AI
Will AI replace Software Quality Assurance Analysts and Testers?
AI already handles 19 of the 30 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 62 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +10.0% from 2024 to 2034.
What is the AI exposure of Software Quality Assurance Analysts and Testers?
62 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 7 of the 30 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 23 are estimated from each task's O*NET work activity.
Which Software Quality Assurance Analysts and Testers tasks can AI already do?
The tasks with the highest exposure are: Identify, analyze, and document problems with program function, output, online screen, or content; Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance; Provide feedback and recommendations to developers on software usability and functionality. They are three of the 19 tasks that reach 60 or more.
What AI model tier does this role need?
A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.
How many people work as Software Quality Assurance Analysts and Testers, and what do they earn?
186,740 people in the United States, with a median annual wage of $104,300 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +10.0% from 2024 to 2034.
How to cite
Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.
JobRoute (2026). AI exposure: Software Quality Assurance Analysts and Testers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/software-quality-assurance-analysts-and-testers
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