In the realm of neuromorphic chip development for the advent of Artificial Intelligence, the synthesis and integration of 2D materials, specifically Transition Metal Dichalcogenides (TMDCs), represent a ground-breaking advancement. Our proposal entails a multifaceted approach, encompassing the facile and scalable synthesis process of 2D TMDCs, their growth on various substrates such as GaN and Si, and the integration of new AI paradigms in materials processing. A novel and scalable synthesis process has been developed for the efficient production of 2D TMDCs. This advancement not only ensures a simplified manufacturing process but also facilitates scalability, addressing the demand for large-scale production in the semiconductor industry. The growth of these 2D TMDCs, both symmetric and Janus structures, on diverse substrates such as GaN and Si, offers a versatile platform for neuromorphic chip fabrication. This substrate diversity enhances the active surface area and promotes efficient charge separation and transport, laying the foundation for advanced chip architectures. Our initiative aligns seamlessly with new AI paradigms in materials processing. The incorporation of closed-loop control, predictive maintenance, and self-optimizing systems empowers the fabrication process, ensuring precision and reliability. The deployment of AI-powered design and manufacturing tools, including integrated systems, advanced process simulation, and digital twins, further enhances the efficiency and customization capabilities of neuromorphic chip development. Overall, our comprehensive approach to developing 2D TMDCs-based neuromorphic chips integrates scalable synthesis, substrate versatility, new AI paradigms, sustainability considerations, and a commitment to ethical practices. This initiative paves the way for the next generation of neuromorphic computing, embodying innovation, efficiency, and responsibility.