Encoding the Future: The Convergence of Artificial Intelligence (AI) and Molecular Archiving

Abstract

This study provides a rigorous analysis of DNA-integrated storage architectures, focusing on the mechanics of molecular computing and its utility for permanent archival. As global data production outpaces traditional silicon-based infrastructure, we evaluate the biological constraints and storage density of synthetic DNA. By synthesizing recent progress in molecular biology and non-traditional computational frameworks, this work identifies how cross-disciplinary engineering is reshaping data management. Our results demonstrate that molecular storage offers a sustainable pathway for massive-scale data retention, providing a scalable alternative to contemporary electronic media.