Leapwork research shows strong belief in AI for testing, with accuracy, stability and manual effort shaping how confidently teams put it to work.
Leapwork has revealed the results of a study examining how software teams approach AI in testing and what determines confidence in its use.
The study shows broad optimism about AI’s role in testing. Most organisations now view AI as a priority for their future testing strategy.
At the same time, the findings reveal a clear reality for teams responsible for quality across critical systems. Confidence in AI driven testing depends on accuracy, reliability and the ability to keep tests current as applications change.
Testing places unique demands on AI. Errors carry real business risk and fragile tests or slow updates can quickly erode trust in results.
As a result, while momentum around AI in testing is strong, many teams apply it carefully, guided by the maturity and stability of their existing automation.
Leapwork’s study gathered responses from more than 300 software engineers, QA leaders and IT decision makers at large and midsize organisations worldwide.
Strong AI momentum in testing
• Eighty-eight percent of respondents said AI is a priority for their organisation’s future testing strategy, with 46% rating it as critical or high priority
• Eighty-percent said AI will have a positive impact on testing over the next two years
• Sixty-five percent said they currently use or explore AI across one or more testing activities, though only 12.6% use AI across key test workflows today
Accuracy and stability shape confidence
• Fifty-four percent cited concerns about accuracy and quality as factors that hold back broader use of AI in testing
• Tests that break too often, difficulty automating flows across systems and the time required to update tests ranked as the top reasons teams struggle to automate more testing
• Forty-five percent said it takes three days or more to update tests after a change in a critical system
Manual effort remains a major constraint
• On average, only 41% of testing is automated today
• Seventy-one percent said test creation slows their teams down the most, followed by test maintenance at 56%
• Fifty-four percent cited lack of time as a barrier to adopting or improving test automation
“It is no longer a question of whether testing teams will leverage agentic capabilities in their work. The question is how confidently and predictably they can rely on it,” said Kenneth Ziegler, CEO, Leapwork.
“Our research shows teams want AI to help them move faster, expand coverage and reduce effort, but accuracy remains table stakes. The real opportunity lies in applying and integrating AI alongside stable automation, so teams gain speed and scale without sacrificing trust in outcomes.”
The findings point to a clear opportunity for organisations expanding AI use in testing.
Teams that pair AI capabilities with strong, reliable automation foundations are better positioned to scale testing with confidence as systems evolve.
