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AI in Software Testing: What Changes at Every Stage of the Testing Lifecycle
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Describe your idea — get a budget breakdown in minutes. Nearly 90% of organizations are already piloting or deploying generative AI in their quality engineering practice, according to the World Quality Report 2025. Only 15% have scaled it across the enterprise. The gap between those two numbers is where testing budgets now leak. The pressure behind the adoption rush is familiar to anyone who ships software: release cycles keep shrinking while regression suites keep growing, and testing quietly becomes the bottleneck of the roadmap. Meanwhile, AI tools have matured from code autocomplete into agents connected directly to Jira and CI pipelines. The question facing you as a product leader has shifted from whether to use AI in testing to how to do it without trading away quality. World Quality Report 2025 highlights on generative AI use in QA
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