Leapwork Research Shows Why AI in Testing Still Depends on Reliability, Not Just Innovation

"According to the survey, 88% of respondents say AI is now a priority for their organization's testing strategy, with nearly half rating it as a critical or high priority. Optimism is also high: 80% believe AI will have a positive impact on testing over the next two years. Yet adoption is still uneven. While 65% say they are already using or exploring AI across some testing activities, only 12.6% currently apply AI across key test workflows, reflecting a cautious, incremental approach."

"Concerns about accuracy and test stability largely drive the gap between enthusiasm and confidence. More than half of respondents (54%) said worries about quality and reliability are holding back broader AI use. Teams cited fragile tests, difficulty automating end-to-end flows across systems, and the time required to update tests as their biggest challenges. In fact, 45% reported that updating tests after changes in a critical system takes three days or more, slowing release cycles and eroding trust in automation."

"Manual effort also continues to limit progress. On average, only 41% of testing is automated today. Test creation was identified as the biggest bottleneck by 71% of respondents, followed by test maintenance at 56%. More than half (54%) said lack of time is a major barrier to adopting or improving test automation, underscoring why many teams remain selective in how they deploy AI."

88% of respondents say AI is now a priority for their organization's testing strategy, with nearly half rating it as a critical or high priority. 80% believe AI will have a positive impact on testing over the next two years. 65% are using or exploring AI across some testing activities, but only 12.6% currently apply AI across key test workflows. Concerns about accuracy, fragile tests, end-to-end automation challenges, and time to update tests slow adoption; 54% cite quality and reliability worries and 45% report test updates after system changes take three days or more. Only 41% of testing is automated; test creation and maintenance remain major bottlenecks.

Read at InfoQ