Optimism Is High. Confidence Is Conditional.
AI dominates testing strategy conversations. Nearly every organization sees it as essential to the future of quality. Testing supports critical systems, where accuracy and reliability are non-negotiable. That standard determines how far and how fast teams apply AI.
This report examines where expectations outpace execution. It highlights what limits broader AI adoption, why quality drives trust, and what separates experimentation from real production impact.
Key Findings
88% say AI is a priority for future testing strategy
12.6% use AI across core testing activities
54% cite accuracy and quality concerns as barriers
AI ambition is clear. Automation maturity varies.
Download the full report to understand where the real constraints sit and what it takes to turn AI from priority to performance.