OpenText's World Quality Report 2025 Reveals Generative AI Deployment Challenges for Organizations

OpenText Collaborates on World Quality Report 2025, Highlighting Generative AI Deployment Challenges

OpenText, in partnership with Capgemini and Sogeti, unveils the 17th edition of the World Quality Report 2025, titled "Adapting to Emerging Worlds." This report sheds light on the notable disparity between organizations' enthusiasm for generative AI (Gen AI) and their ability to implement it effectively within quality engineering (QE). While an impressive 90% of surveyed organizations are engaged in Gen AI initiatives, only 15% have scaled these efforts to an enterprise level. This gap reveals critical obstacles that hinder widespread adoption, including integration complexity, data privacy concerns, and a shortage of skilled personnel.

The report identifies that 67% of organizations cite data privacy risks as a fundamental barrier to effective Gen AI deployment, while 64% point to difficulties in integrating new technologies with existing systems. Furthermore, 50% of companies report a lack of necessary skills as a significant challenge. Despite the widespread piloting of Gen AI-augmented workflows—37% are in production and 52% in pilot stages—there is a worrying trend of non-adopters, which has risen to 11% from 4% in the previous year. This trend indicates that many organizations remain hesitant or unprepared to fully embrace Gen AI technologies, with 43% still not having implemented them and 30% using them only in limited contexts.

Tal Levi-Joseph of OpenText emphasizes the need for companies to weave AI-driven transformations into their operational frameworks to maintain competitive advantages. Mark Buenen from Capgemini echoes this sentiment, stating that aligning Gen AI-enabled quality engineering with broader business objectives continues to pose a significant challenge. The report suggests that while organizations report an average productivity boost of 19% from Gen AI initiatives, a substantial portion sees minimal improvements, underscoring the urgency for companies to refine their strategies for leveraging this technology effectively.

In addition to the challenges, the report highlights a shift in how Gen AI is utilized, moving beyond mere analysis of outputs to actively influencing inputs, particularly in areas like test case design and requirements refinement. This evolving landscape of Gen AI applications indicates a critical need for organizations to adapt and rethink their approaches to quality engineering to harness the full potential of this technology.

The findings of the World Quality Report 2025 serve as a clarion call for organizations to bridge the gap between their investments in generative AI and the realization of tangible value. As AI technologies continue to evolve, the focus on effective deployment and integration becomes paramount for businesses aiming to thrive in an increasingly competitive environment.