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Artificial Intelligence (AI) holds immense potential for revolutionizing test automation. As AI advances, its integration can significantly enhance the efficiency and effectiveness of testing processes. This report delves into these trends, highlighting the growing importance of test automation and its future trajectory in the industry.

Generative AI can not only assist developers, but also testers, ranging from generating test cases and scenarios from requirements documents, to generating data and code for testing.

How Test Automation Delivers Maximum ROI

Why Do You Need Generative AI in Testing?

Tech leaders predict that in the next three years generative AI will impact the future of automated testing and that we will see a change in QA headcount and daily responsibilities. Examples of the need for Generative AI in testing include:

Test case generation
Adaptive behaviour
Load and performance testing
Test data generation
Test scenario exploration
Security testing