Antimicrobial resistance has become a defining global health emergency, eroding the effectiveness of existing therapies and placing millions of lives at risk as pathogens evolve faster than conventional drug development can respond. The scale and speed of this crisis expose fundamental limitations in traditional antibiotic discovery, which remains costly, slow, and poorly aligned with the biological complexity of infections. Advances in artificial intelligence (AI) offer the ability to rapidly explore vast chemical spaces and uncover novel antibacterial strategies, while nanobiotechnology enables precise delivery systems that can uncover biological barriers and reduce toxicity. When combined, these approaches open the door to precision antibiotics. Developing and integrating these technologies is therefore not optional but essential to restoring humanity’s ability to control infectious diseases. AI, Nanobiotechnology, and the Future of Precision Antibiotics addresses the escalating global challenge of antimicrobial resistance, which continues to undermine the effectiveness of existing therapies and place growing pressure on healthcare systems worldwide. This volume presents an integrative perspective that brings together computational modeling, nanoscale engineering, and biologically informed therapeutic design within a unified conceptual framework. It highlights the convergence of these domains as a pathway toward more adaptive and effective antimicrobial solutions. Covering key topics such as antimicrobial therapies, nanocarrier technologies, and predictive modeling, this book serves as a valuable resource for researchers, clinicians, engineers, and policy-oriented scholars working across AI, nanomedicine, antimicrobial research, and global health innovation.