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7.7Limitations of AI in Test Management
AI is a powerful tool, but it has clear limitations:
| Capability | AI Excels At | AI Struggles With |
|---|---|---|
| Test case generation | Breadth of scenarios, edge cases | Domain-specific business logic |
| Prioritization | Pattern matching on historical data | Novel features with no history |
| Flaky detection | Statistical pattern analysis | Root cause diagnosis |
| Bug triage | Similarity matching, categorization | Understanding business impact |
| Test data | Volume and variety | Data that must satisfy complex business rules |
The QA engineer's role is not replaced by AI -- it is amplified. AI handles the repetitive, pattern-based work. Humans provide the judgment, domain expertise, and strategic thinking.