Mostly Resilient

Last Update: 8/30/2026

AI Resilience Score for Software QA Analyst/Tester:

51.0%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

High

Our confidence in this score:
Medium-high

Methodology and Scoring Rationale

To score how resilient software QA analyst and tester work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from five AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, and OpenAI Signals. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For software QA analysts and testers, all eight sources had data. AI exposure sources largely agreed: AI Resilience Model, Anthropic, and Microsoft all rated AI's impact as high, with Will Robots Take My Job and OpenAI Signals a bit more optimistic at medium, keeping confidence at medium-high. Strong pay and mobility pulled the score up, landing this role at "Mostly Resilient."

AI Resilience Report forSoftware Quality Assurance Analysts and Testers

$104,300 median salary•10,700 annual openings•SOC Code: 15-1253.00

Software Quality Assurance Analysts and Testers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Software QA testing is labeled "Mostly Resilient" because while AI is quickly taking over the repetitive, routine parts of the job (like writing test scripts and logging bugs), the deeper work of judging whether software is truly ready for real users still requires a human. Companies in regulated industries, and those doing beta releases, are keeping people in the loop because AI tools can miss edge cases and create legal or safety risks.

Learn more about how you can thrive in this position

This role is mostly resilient

Software QA testing is labeled "Mostly Resilient" because while AI is quickly taking over the repetitive, routine parts of the job (like writing test scripts and logging bugs), the deeper work of judging whether software is truly ready for real users still requires a human. Companies in regulated industries, and those doing beta releases, are keeping people in the loop because AI tools can miss edge cases and create legal or safety risks.

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Analysis of current AI resilience

Software QA Analyst/Tester

Updated quarterly

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Latest AI news for Software QA Analyst/Tester

These articles highlight the evolving role of Software Quality Assurance Analysts and Testers in an AI-driven landscape. For instance, "AI Is About To Reshape Millions Of Software QA Jobs" emphasizes that AI can enhance testing efficiency, allowing testers to focus on more complex issues. Similarly, "How AI is Transforming Quality Assurance in Software" shows how AI tools streamline QA processes, making them smarter and faster. By understanding these changes, students can position themselves as resilient professionals, ready to leverage AI advancements in their careers.

More Career Info

Career: Software Quality Assurance Analysts and Testers

They ensure software works correctly by checking for problems, testing features, and making sure everything runs smoothly before it’s released to users.

Employment & Wage Data

Median Wage

$104,300

Jobs (2025)

187,600

Growth (2025-35)

+5.7%

Annual Openings

10,700

Education

Bachelor's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

Visit beta testing sites to evaluate software performance.

2

78% ResilienceCore Task

Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems.

3

75% ResilienceCore Task

Coordinate user or third-party testing.

4

72% ResilienceCore Task

Collaborate with field staff or customers to evaluate or diagnose problems and recommend possible solutions.

5

70% ResilienceCore Task

Develop or specify standards, methods, or procedures to determine product quality or release readiness.

6

65% ResilienceSupplemental

Recommend purchase of equipment to control dust, temperature, or humidity in area of system installation.

7

62% ResilienceCore Task

Provide feedback and recommendations to developers on software usability and functionality.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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