OpenText, Capgemini and Sogeti have announced the 17th edition of the World Quality Report 2025: Adapting to Emerging Worlds. The report reveals that while nearly 90% of organizations are now actively pursuing generative AI (Gen AI) in their quality engineering (QE) practices, only 15% have achieved enterprise-scale deployment.
The report finds a widening gap between organizational interest in Gen AI and actual readiness to adopt it effectively within QE. The journey from experimentation to implementation is more complex than anticipated, requiring alignment between operational innovation and strategic oversight.
Key findings from the report
- Widespread adoption: 89% of responding organizations are piloting or deploying Gen AI–augmented workflows, with 37% in production and 52% in pilot phases.
- Momentum and recalibration: The rate of non-adopters of Gen AI increased to 11%, up from 4% in 2024, but it’s still considerably lower than 2023’s 31%, indicating the initial rush has given way to a more grounded and complex strategy about readiness and value.
- Limited scale: Only 15% of respondents have achieved enterprise-wide implementation, while 43% remain in the experimental phase and 30% operate within limited use cases.
- Evolving use cases: Gen AI is shifting from analyzing outputs (such as defect analysis and reporting) to shaping inputs, with test case design and requirements refinement now leading adoption.
- Operational gains with caveats: Organizations report an average productivity boost of 19%, but one third have seen minimal gains, highlighting the need for smarter integration strategies.
- New barriers emerge: In 2025, top challenges experienced by respondents include integration complexity (64%), data privacy risks (67%), and hallucination and reliability concerns (60%)
- This is a change from 2024 when top obstacles were more strategic in nature: lack of validation strategy (50%), insufficient AI skills (42%), and undefined QE organization (41%).
- Skills gap remains: 50% report their organizations lack AI/ML expertise, which is unchanged from 2024.
- Strategic misalignment: Many organizations treat GenAI as a tactical enhancement rather than a strategic enabler, resulting in fragmented execution and underfunded initiatives.
Link to download the World Quality Report (registration required)
Interesting news and data. However, I don’t think that generative AI will be so much used in software testing future.