This study aims to examine the existing applications of robotics and artificial intelligence (AI) in non-destructive testing (NDT) and evaluate their effectiveness compared to traditional methods. The research methodology involves the use of a robotic arm equipped with a Panametrics ultrasonic immersion transducer for NDT experiments. The strengths and limitations of various applications, including weld inspection, visual inspection, ultrasonic testing, magnetic particle inspection, and eddy current testing, are evaluated through numerical scoring. The results demonstrate the capabilities of robotic systems with AI algorithms in achieving accurate and consistent inspections, although certain limitations exist. Additionally, the effectiveness of these robotic systems in performing NDT tasks is compared to traditional methods, revealing their superiority in terms of accuracy, efficiency, and defect detection. Overall, this research provides insights into the integration of robotics and AI in NDT and highlights their potential for advancing inspection capabilities. Keywords: robotics, artificial intelligence, non-destructive testing (NDT).