This research proposes a new and unique approach to explore the utilization of Artificial Intelligence (AI) for adoption in adaptive and sustainable automotive manufacturing, by focusing on the combined applications of Cognitive Digital Twins, Generative Design, and Human-Robot Collaboration. The study implemented four AI algorithms—Reinforcement Learning (RL), Generative Adversarial Networks (GANs), Convolutional Neural Networks (CNNs), and Long Short-Term Memory (LSTM)—for various applications for the purpose improving production flexibility, fault prediction, and intelligent design generation.