In the field of biotechnology, the tremendous thrust that AI has unleashed has expedited various aspects such as drug discovery, genomic analysis, optimization of bioprocesses, and agriculture and marine biotechnology. This paper analyzes the state of art of AI applications in biotechnology at present, the future trends, and its possibility to help rapprochement between lower-income and high-income countries. Through the combination of recent literature and case studies, this work points out the ability of AI to fast-track biotechnological innovations while solving essential global issues like health equity. Yet, it also weighs in the danger that AI may further these inequalities unless it is implemented with inclusion and representation. Based on AI in biotechnology, this research offers a multidisciplinary view that advocates solutions tailored at the local level, the building of functional capacities, and the enactment of equitable policies that guarantee the benefits of AI are benefited by all countries. Subsequently, a panoramic review of 58 free-of-charge AI tools and platforms is offered, demonstrating the size and depth of AI impact on the biotechnology arenas and hence is a good resource for researchers, trainers, and policymakers for whom they intend to understand and harness these tools, that are open-source. Although this work is a review, it provides a structured, data-informed synthesis—including a curated list of 58 freely accessible AI tools—intended as a practical resource to support reproducibility, translational research, and strategic integration of AI in experimental biotechnology workflows.