Self-driving labs (SDLs) are revolutionizing the field of scientific discovery by combining artificial intelligence, robotics, and lab automation to expedite research in chemistry and materials science. These labs can perform high-throughput experiments continuously, allowing researchers to discover new materials and molecules up to 100 times faster than traditional methods. Led by Milad Abolhasani at NC State University, SDLs like Rainbow and Fast-Cat have demonstrated remarkable efficiency in optimizing quantum dots and catalytic reactions, respectively. For instance, Rainbow can analyze up to 1,000 experiments per day, achieving results that would take years in conventional labs. Similarly, Fast-Cat can provide insights in five days that would require six months of manual experimentation. Another SDL, PoLARIS, has successfully identified lead-free nanoplatelets in just 12 hours. These advancements not only enhance the speed of discovery but also broaden access to scientific research, empowering more researchers and institutions to participate in groundbreaking studies. NC State's commitment to SDL technology positions it as a hub for future innovations in molecular sciences.