The Copilot Era: How Generative AI Is Reshaping Quality Assurance Team Roles in 2025 and Beyond
AI is no longer some futuristic concept confined to academic labs or sci-fi films. It's now a practical, widely adopted tool integrated into everyday software development and quality assurance (QA) workflows. What began as experiments with machine learning has evolved into strategic applications of generative AI across the software lifecycle.
This whitepaper explores how GenAI is transforming QA practices, not by replacing engineers, but by augmenting their capabilities. It examines the practical applications, strategic shifts, and emerging responsibilities reshaping the QA discipline.
Table of Contents:
GenAI in Development: From Suggestion to Support
Where AI Supports QA Today
Early-Stage Use Cases Worth Watching
The Future QA Role: Strategic, Cross-Functional, and AI-Literate
How to Begin with AI in QA
Contributors: Felix Kortmann, CTO, Ignite by FORVIA HELLA; Maaret Pyhäjärvi, Director, Consulting, CGI; Peter Schneider,Principal, Product Management, Qt Group
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