Modern QA2026Skills Trajectory — tiles
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13.3Skills Trajectory

Increasing in Importance Stable Decreasing in Importance
Systems thinking — how components interact, how changes propagate, where failures originate Programming — frameworks, pipelines, and tools still require code Manual test execution — shifts to exploratory and judgment-heavy scenarios
Data analysis — collecting, analyzing, interpreting quality metrics Debugging — root cause analysis is perennial Tool-specific expertise — principles transfer; AI generates boilerplate
Communication — explaining risk to non-technical stakeholders Domain knowledge — irreplaceable, cannot be automated Test case documentation — executable tests replace spreadsheets
Architecture — participating in design reviews, identifying testability issues
AI fluency — directing AI tools, evaluating output critically