AI in quality engineering: The confidence gap every enterprise must close

AI is redefining quality. But not everyone is ready.

The World Quality Report 2025-26 exposes a widening confidence gap between early adopters and those still experimenting. Discover why hesitation toward AI in testing, automation, and data strategy is costing enterprises speed, accuracy, and trust—and what the leaders are doing differently.

Download the report to learn:

• Why AI non-adoption nearly tripled in 12 months.
• How leading teams balance GenAI with core QE rigor.
• The new benchmarks for automation coverage and scale.
• What synthetic data reveals about readiness and risk.
• How to rebuild confidence through skills and governance.
• Where AI delivers measurable impact across the SDLC.