As of August 2026, QA Engineer has an AI-exposure score of 62/100 (Elevated exposure) on the AI-Safe Careers index. This is an estimate of task exposure, not a prediction of job loss.
Score inputs for this role: AI-Safe Careers curated modeled estimate. This curated role has no matched O*NET SOC or empirical occupation signal. Treat it as a lower-confidence directional estimate. BLS labor-market figures are separate context, not score inputs.

AI Exposure Score for

QA Engineer

62/100
Elevated exposure
LowModerateElevatedHighVery High

More exposed than 71% of the roles we track. Median pay ~US$92,000.

Pay & demand figures are US medians (in USD; curated approximation (not refreshed from BLS; 2022–32 framing)) - your local figures will differ. Your exposure score applies broadly.

Will AI replace QA Engineer?

No exposure score can predict whether AI will replace this role. The 62/100 score means our current model estimates elevated task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.

Early-career context (study ages 22-25)

This role is in the Elevated exposure band, but its assessed task mix is not automation-heavy. The study found the decline concentrated where AI was more likely to automate rather than augment work, so the headline figure should not be applied directly.

The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.

Use the task map to identify durable work and the skills worth building early.

Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision

This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.

Data sources, not endorsements: O*NET and curated role data; empirical AI signals where matched; BLS employment, pay, and demand as separate context.Methodology Data sources
Role snapshot

What this role usually involves

O*NET 29.1 closest reviewed source

Develop and execute software tests to identify software problems and their causes. Test system modifications to prepare for implementation. Document software and application defects using a bug tracking system and report defects to software or web developers. Create and maintain databases of known defects. May participate in software design reviews to provide input on functional requirements, operational characteristics, product designs, and schedules.

Common titles
Quality Assurance Analyst (QA Analyst)Software Quality Assurance Engineer (SQA Engineer)Software Quality EngineerSoftware Test EngineerAutomation TesterInformation Technology Analyst (IT Analyst)
O*NET job-zone preparation
Job Zone 4 · Considerable Preparation Needed Most of these occupations require a four-year bachelor's degree, but some do not. A considerable amount of work-related skill, knowledge, or experience is needed for these occupations.

Broad guidance for this preparation level; exact requirements vary by role and employer.

Skills and knowledge
Test automationDebuggingComputers and ElectronicsEnglish LanguageMathematicsEngineering and Technology
Work context
Decision latitudeIndoor controlled settingFrequent contact with othersRepeating tasks

Source: O*NET 29.1 closest reviewed source - Software Quality Assurance Analysts and Testers, SOC 15-1253.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.

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QA Engineer tasks, by AI exposure

QA Engineer is a common title for O*NET Software Quality Assurance Analysts and Testers. The reviewed map covers defect analysis, test design and automation, release readiness, compatibility, environments, customer issues, documentation, and result analysis while excluding software-development and hardware-facility duties. How we map tasks →

Automatable
  • Write and run test cases
  • Automate regression tests
  • Perform initial debugging procedures by reviewing configuration files, logs, or code pieces to determine breakdown source. O*NET: Software Quality Assurance Analysts and Testers
1 more automatable task locked in the report.
Augmentable
  • Triage and report defects
  • Design test strategy
24 more augmentable tasks locked in the report.
Durable
  • Collaborate with field staff or customers to evaluate or diagnose problems and recommend possible solutions. O*NET: Software Quality Assurance Analysts and Testers

We analyzed all 31 QA Engineer tasks - 4 automatable, 26 augmentable and 1 durable. The full task map - every task with exactly what to do about each - is in your Career Report.

Your report unlocks three concrete artifacts

Full task map

Every task scored with what to automate, augment, or protect.

Adjacent path comparison

Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.

30/60/90 plan + PDF

A keepable roadmap plus resume and LinkedIn repositioning.

Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.

Adjacent career paths

No evidence-backed lower-exposure match appears in this O*NET adjacency set. The adjacent paths below remain useful comparisons; the strongest resilience moves are task-level.

Software Developer
82% skills overlap; 5 points lower - similar exposure within the 5-point model resolution; Elevated band; ~US$132,270
View path
57
7 more adjacent paths with exposure deltas, salary, demand, and reachability in your Career Report.
Agent Reality Check (on-site workflow preview)

Write and run test cases

Check what deployed AI agents can attempt on tasks like this using dated capability evidence. You review the real task before any analysis runs.
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Your AI-Safe Career Report

Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.

Workers with AI skills earn a roughly 62% wage premium - adapting pays. - PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.

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