Advances and Challenges in AI‐Driven Sustainable and Green Bio‐Manufacturing for Bio‐Based Production

Bio manufacturing can transition from a high-cost, unsustainable processes based on petroleum feedstocks and commodity chemicals to a lower-cost, optimized microbial platform powered by genomics. This method generates novel products through metabolic engineering. Renewable biomass-derived target compounds from biofuels, organic acids, to pharmaceutical intermediates are manufactured in engineered microbial systems (engineered through metabolic engineering and library-approach pathway balancing), developed by integrating powerful CRISPR-CAS9 kits, which highly improve the conversion efficiency with reduced formation of unwanted side products. Nowadays, the landscape is more varied, and it has been demonstrated that various renewable feedstocks like CO2, lignocellulosic biomass, or agricultural residues—are commercially viable and provide engineered strains flexibility in terms of substrate range. According to life cycle assessment (LCA) studies, most bio-manufacturing processes used 30–70% less energy and produced less greenhouse gas emissions than their corresponding petrochemical counterparts. This indicates that this industrial approach has an environmental advantage. The Design-Build-Test-Learn (DBTL) cycle has been accelerated by AI and bio -foundry automation, cutting development time frames by over 40%. There is less production of solid garbage. Remainder valorization and closed-loop bioprocessing are assisting in reducing material loss, which also leads to increased resource use efficiency. Even with these technological advancements, the same old problems still exist economically scaling up, consistently providing for the biomass matrix (supply chain), and staying up to date with new regulatory changes. Hybrid bio-chemical methods have emerged as a supplementary tactic that permits both greater specificity and higher product titres. Collectively, these advancements demonstrate how sustainable bio manufacturing might displace traditional techniques, so long as multidisciplinary innovation keeps removing existing barriers.