World Quality Report 2024 shows 68% of Organizations Now Utilizing Gen AI to Advance Quality Engineering

Core Insights - The 16th edition of the World Quality Report highlights the significant role of Generative AI in Quality Engineering, indicating a shift in skills necessary for Agile development environments [1][2][3] Adoption of Generative AI - 68% of organizations are either actively using Generative AI (34%) or have developed implementation roadmaps following successful pilot projects (34%) [3] - Test automation is the primary area benefiting from Generative AI, with 72% of respondents reporting faster automation processes due to its integration [3] Upskilling and Learning Pathways - 82% of organizations have dedicated learning pathways for their Quality Engineering teams, but only 50% actively track the effectiveness of these programs [4] - Continuous learning in skills such as Generative AI, Agile integration, and cross-functional collaboration is emphasized as crucial [4] Challenges in Automation - 57% of organizations lack comprehensive test automation strategies, while 64% rely on legacy systems, which are identified as significant barriers to advancing automation efforts [4] Sustainability and Green IT - Only 25% of organizations measure the environmental impact of their overall IT development, and 44% track the impact of testing activities [5] - 34% of respondents implement efficient Quality Engineering practices to promote sustainability, indicating a need for comprehensive Green IT strategies [5] Strategic Value of Quality Engineering - The report stresses the importance of aligning Quality Engineering metrics with business outcomes to demonstrate its strategic value [2][6] - Industry leaders recognize the growing role of AI and emerging technologies in Quality Engineering, highlighting the need for organizations to communicate this value effectively [6]