IT quality and testing professionals
IT quality and testing professionals test the quality of IT software, systems and computer games and identify and recommend solutions to problems and improvements that could be made.
Task Bundle Breakdown
How AI interacts with this occupation's task bundle
Task-by-Task Breakdown
Every task scored individually — sorted highest to lowest AI exposure
undertakes the testing of software, systems or computer games for errors, identifies source of problems and proposes solutions
AI-powered testing tools like Testim, Mabl, and GitHub Copilot can auto-generate and execute test cases, detect anomalies, and suggest bug fixes, but human judgment is still needed to interpret complex failures and validate business logic.
develops, implements and documents test plans for IT software, systems and computer games
Tools like ChatGPT or Copilot can draft test plans and generate documentation from requirements, significantly reducing time, but humans must validate coverage, risk assessment, and alignment with business objectives.
develops quality standards and validation techniques
AI can analyse historical defect data and suggest quality benchmarks using tools like Sonar or AI-enhanced CI/CD pipelines, but defining standards requires human expertise in regulatory compliance, domain knowledge, and organisational context.
makes recommendations concerning software/system quality
AI tools can synthesise test results, identify patterns in defect data, and generate quality reports, but strategic recommendations on architecture, process change, or risk trade-offs still require experienced human judgement.
ROI Calculator
IT quality and testing professionals
This is not a pay rise — it's 720 hours of productive capacity that AI could return to you, valued at your current rate.
The portion of your current salary tied to tasks AI can automate or augment. Not a prediction of job loss — a signal of where your role is changing fastest.
How is this calculated?▾
Task weights — each task is weighted by its O*NET frequency rating. Where frequency data is absent, equal weighting is applied.
AI time reduction — tasks scored as "AI Automates" assume 80% time saving; "AI Assists" assumes 40%; "Human-Led" assumes 5%.
Salary equivalent — annual hours saved × (salary ÷ 1,800 working hours/year).
Value at risk — salary × share of role time in AI-automate or AI-assist tasks.
Figures are indicative estimates for planning purposes, not guarantees of productivity gain or job loss risk.