44
/100

SOC 15-1253

Software Quality Assurance Analysts and Testers

ElevatedFrey/Osborne: 40.0%

Risk Score

โš ๏ธ

44/100

Elevated

US Employment

๐Ÿ‘ฅ

199,800

Total workers

Median Wage

๐Ÿ’ฐ

$103K

$61K โ€“ $167K

Projected Growth

๐Ÿ“ˆ

+10%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

84/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Software Quality Assurance Analysts and Testers face a risk score of 44/100 โ€” 0 points above the national average of 44. With 84/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $103K ($56K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 44/100, Software Quality Assurance Analysts and Testers faces moderate automation pressure. While tasks like chatbot displacement of customer-facing interactions are increasingly handled by AI, the role retains significant human elements. The 199,800 workers in this occupation should focus on strengthening skills in crisis debugging of complex production incidents and ethical ai oversight and bias auditing to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Software Quality Assurance Analysts and Testers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Chatbot displacement of customer-facing interactions

2

Cloud automation reducing infrastructure management roles

3

Large language model automation of analysis tasks

4

AI-driven cybersecurity threat detection replacing analysts

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Crisis debugging of complex production incidents

โœ“

Ethical AI oversight and bias auditing

โœ“

Mentoring junior developers and team leadership

โœ“

Stakeholder negotiation and requirements elicitation

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Identify, analyze, and document problems with program function, output, online screen, or content.

โ€ข

Document software defects, using a bug tracking system, and report defects to software developers.

โ€ข

Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability.

โ€ข

Design test plans, scenarios, scripts, or procedures.

โ€ข

Document test procedures to ensure replicability and compliance with standards.

๐Ÿ’ป Technology Skills

โ€ข

Word processing software

โ€ข

Development environment software

โ€ข

Object or component oriented development software

โ€ข

Data base user interface and query software

โ€ข

Document management software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Computers and Electronics

โ€ข

English Language

โ€ข

Mathematics

โ€ข

Engineering and Technology

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$103K
+$56K

National avg: $46K

Risk Score44/100
0

National avg: 44/100

GenAI Exposure84/100
+46

National avg: 38/100

Projected Growth10.0%
+6.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K61%
Mathematicians24$122K70%
Computer Occupations26$106K81%