The article also stresses the importance of organizations preparing for this shift by investing in AI readiness and training. It highlights the need for ethical, transparent, and secure operation of agentic systems, especially in regulated industries. The emergence of new job roles to test and validate agentic AI systems is anticipated, underscoring the critical nature of this transformation. The article concludes by projecting that full-scale AI maturity in testing will be achieved by 2027, presenting a significant opportunity for technology leaders and professionals to lead in this space.
Key takeaways:
- Agentic AI is transforming software testing by becoming autonomous and goal-driven, capable of acting with intelligence across the lifecycle.
- The integration of AI in testing is reducing the cost of quality and accelerating release cycles, with time to market moving from quarterly to daily releases.
- Organizations must prepare for AI adoption by investing in training and infrastructure, as AI readiness is crucial for long-term competitiveness.
- Ensuring ethical, transparent, and secure operation of agentic systems is critical, especially in regulated industries, and new job roles will emerge to test and validate these systems.