OpenText, Capgemini and Sogeti have introduced the seventeenth version of the World High quality Report 2025: Adapting to Rising Worlds. The report reveals that whereas almost 90% of organizations at the moment are actively pursuing generative AI (Gen AI) of their high quality engineering (QE) practices, solely 15% have achieved enterprise-scale deployment.
The report finds a widening hole between organizational curiosity in Gen AI and precise readiness to undertake it successfully inside QE. The journey from experimentation to implementation is extra complicated 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 manufacturing and 52% in pilot phases.
- Momentum and recalibration: The speed of non-adopters of Gen AI elevated to 11%, up from 4% in 2024, but it surely’s nonetheless significantly decrease than 2023’s 31%, indicating the preliminary rush has given method to a extra grounded and sophisticated technique about readiness and worth.
- Restricted scale: Solely 15% of respondents have achieved enterprise-wide implementation, whereas 43% stay within the experimental section and 30% function inside restricted use instances.
- Evolving use instances: Gen AI is shifting from analyzing outputs (corresponding to defect evaluation and reporting) to shaping inputs, with check case design and necessities refinement now main adoption.
- Operational positive factors with caveats: Organizations report a median productiveness increase of 19%, however one third have seen minimal positive factors, highlighting the necessity for smarter integration methods.
- New obstacles emerge: In 2025, prime challenges skilled by respondents embody integration complexity (64%), knowledge privateness dangers (67%), and hallucination and reliability considerations (60%)
- This can be a change from 2024 when prime obstacles had been extra strategic in nature: lack of validation technique (50%), inadequate AI abilities (42%), and undefined QE group (41%).
- Expertise hole stays: 50% report their organizations lack AI/ML experience, which is unchanged from 2024.
- Strategic misalignment: Many organizations deal with GenAI as a tactical enhancement reasonably than a strategic enabler, leading to fragmented execution and underfunded initiatives.
Hyperlink to obtain the World High quality Report (registration required)
