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Topics
Artificial Intelligence
Digital Transformation
Software Development
Source
OpenText
Whitepaper
Sponsored by
OpenText

Adapting to Emerging Worlds: AI’s Impact on Quality Engineering

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Adapting to Emerging Worlds: AI’s Impact on Quality Engineering
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Quality Engineering is at a turning point. Generative AI, automation, and agentic systems are reshaping how software is built, tested, and delivered—but most organizations are struggling to turn experimentation into enterprise-wide impact. The World Quality Report 2025–26: Adapting to Emerging Worlds is the industry’s most comprehensive global study, drawing on insights from 2,000 executives across 23 countries to reveal how Quality Engineering must evolve to keep pace with rapid technological change.

The findings are both sobering and actionable. While enthusiasm for AI is high, only 15% of organizations have successfully scaled Gen AI across the enterprise, and AI non-adopters have nearly tripled year over year. The report shows where AI is delivering real productivity gains, why automation and data quality remain critical bottlenecks, and how governance, skills, and operating models separate leaders from laggards. Download the report to gain data-backed insights, practical recommendations, and real-world perspectives to help your organization recalibrate quality, scale AI responsibly, and turn uncertainty into competitive advantage.