BETA
Updated: May 6
BETA
Updated: May 6
CLOSE
The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
Navigate your career with your free AI Career Coach. Research-backed, designed with career experts.
The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Mostly Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
57.9%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Most data sources align, with only minor variation. This is a well-supported result.
Contributing sources
AI Resilience Report forSoftware Quality Assurance Analysts and Testers
Software Quality Assurance Analysts and Testers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
The career of Software Quality Assurance Analysts and Testers is labeled as "Mostly Resilient" because AI tools mainly help with routine tasks like running tests and spotting obvious bugs, without fully replacing human testers. While AI can automate some simple testing steps, it struggles with more complex tasks that require human judgment, creativity, and communication, like designing tests and investigating difficult bugs.
Read full analysisLearn more about how you can thrive in this position
View analysis
Chat with Coach
Latest news
More career infoAnalysisChatNewsMoreLearn more about how you can thrive in this position
View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is mostly resilient
The career of Software Quality Assurance Analysts and Testers is labeled as "Mostly Resilient" because AI tools mainly help with routine tasks like running tests and spotting obvious bugs, without fully replacing human testers. While AI can automate some simple testing steps, it struggles with more complex tasks that require human judgment, creativity, and communication, like designing tests and investigating difficult bugs.
Read full analysisAnalysis of Current AI Resilience
Software QA Analyst/Tester
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Software QA Analyst/Tester jobs?
QA analysts use many tools today, but AI usually helps rather than fully replaces them. For example, official job guides say testers “design and execute tests” and “document software defects” [1] [1]. Some new AI tools can auto-generate simple test scripts or run routine checks, but studies show limits.
One academic study found that AI models could produce valid tests only for very easy code, and struggled badly with harder cases [2]. In practice, this means testers still write and update most test scripts by hand, using AI suggestions only as a starting point. Likewise, bug-reporting still needs human judgment: even if software flags an error, a tester has to describe it clearly.
Industry surveys reflect this mix: Deloitte reports that over half of companies using AI are actually adding more manual testing steps to double-check results [3].
On the other hand, a few routine tasks are already quite automated. Modern QA teams commonly run regression suites or automated test cases with tools (sometimes using AI to stabilize them). But tasks that need creativity or context show little sign of full automation.
For example, QA analysts may “participate in software design reviews” or suggest how a program should meet standards [1] [1]. We found no examples of AI fully handling those roles – likely because design work and complex bug investigations require human insight and clear communication. In short, AI today augments tasks like running tests and spotting obvious bugs, but human testers are still needed for nuanced analysis, planning tests, and communicating with developers [2] [3].
Sources
How fast is AI adoption growing for Software QA Analyst/Tester?
Whether AI is adopted quickly in QA depends on costs, benefits, and trust. Many companies already use AI in development: for instance, Deloitte found over 30% of surveyed firms have integrated generative AI into products and tools, and expects nearly universal use by 2027 [3]. Large tech firms have resources to buy or build AI testing tools, and testing is often time-consuming, so AI can seem attractive.
Also, QA testers are relatively well-paid (about \$102,000 median per year [4]), so in theory AI that cuts their work could save money in the long run.
However, adopting AI also brings costs and risks. Tools may need special licenses and training. If an AI misses a serious bug, the cost could be huge, so companies must trust new tools.
In fact, QA jobs are actually growing fast (15% projected increase by 2034 [4]), which means firms still expect to hire humans for testing. In a tight labor market with high demand for software, companies might prefer skilled testers they trust over unproven AI. Socially and legally, using AI in testing is mostly seen as a practical tool with little controversy, but it must be proven reliable first.
Overall, the benefits of AI (speed and efficiency) are weighed against implementation costs and the need for accuracy. This balance suggests AI will continue to augment QA work – taking over repetitive steps – while human skills like critical thinking, creativity, and clear communication stay very valuable [3] [4].
Sources
Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
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.
Parent Careers
Similar Careers
Employment & Wage Data
Median Wage
$102,610
Jobs (2024)
201,700
Growth (2024-34)
+10.0%
Annual Openings
14,000
Education
Bachelor's degree
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Evaluate or recommend software for testing or bug tracking.
2
Review software documentation to ensure technical accuracy, compliance, or completeness, or to mitigate risks.
3
Identify program deviance from standards, and suggest modifications to ensure compliance.
4
Provide feedback and recommendations to developers on software usability and functionality.
5
Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential problems.
6
Monitor program performance to ensure efficient and problem-free operations.
7
Install, maintain, or use software testing programs.
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.
© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.