The development of artificial intelligence (AI) has continuously transformed the landscape of technology, promising breakthroughs that span across industries and redefine interactions with machines. Delving back into history, the introduction of the Intel 4004 in 1971 marked a cornerstone in computing history, packing 2,300 transistors within 12mm². Fast forward to today’s landscape, Apple’s M2 Ultra processor houses an astronomical 134 billion transistors. This leap exemplifies the exponential growth powered by the evolving realm of semiconductor technology. Moore’s Law, the observation that the number of transistors on a microchip doubles approximately every two years while the cost of computers is halved, has traditionally driven this semiconductor evolution. However, as we reach the fundamental physical limits of silicon-based tech, new materials and innovative design principles are necessary to sustain and advance these technological strides. Materials science is thus emerging as a pivotal field in the pursuit of AI enhancements, offering potential solutions through the exploration of novel materials. These could include superconductors to reduce energy consumption or the development of quantum dots to increase processing speed and efficiency. Additionally, the integration of materials like graphene and carbon nanotubes is being explored to break the limitations of current semiconductor technology. As AI algorithms become increasingly complex, driven by intricate tasks such as natural language processing and deep learning, the demand for more efficient and capable hardware becomes paramount. Emerging materials not only offer the potential for more power-efficient AI models but push the boundaries for more compact and potent computational designs. In essence, the synergy between materials science and AI not only aids in scaling computational power but also in unlocking new potentials across AI technologies, facilitating breakthroughs that once seemed beyond reach. It goes beyond computation; it challenges us to rethink our foundational materials and opens up a horizon of possibilities for AI applications in sectors such as healthcare, automation, and beyond. Our team at Weebseat envisions a future where these advancements bring transformative impacts to every facet of society. As the world faces evolving challenges and opportunities, the collaborative intersection of materials science and AI stands as a beacon of innovation and potential.