The Role of Agentic AI in Revolutionizing Biotechnology: An Overview

Articles in Press

Document Type : Review Article

Authors

1 Prototyping Research Lab, Research, Development, and Innovation RDI, Faculty of Biotechnology, October Modern University for Science and Arts (MSA), Giza, Egypt.

2 Advanced Generation School, Jeddah, Saudi Arabia.

Abstract

Agentic AI, a form of artificial intelligence capable of autonomous decision-making and self-directed actions, is emerging as a transformative force in biotechnology. Unlike traditional AI models that rely on predefined instructions, agentic AI can independently analyze complex biological data, optimize laboratory workflows, and drive scientific discovery with minimal human intervention. This autonomy enhances efficiency, reduces costs, and accelerates advancements in drug discovery, precision medicine, synthetic biology, and industrial bioprocessing. Despite its potential, the integration of agentic AI into biotechnology presents several challenges, including data bias, model interpretability, ethical concerns, and security risks. The lack of regulatory frameworks for AI-driven biological research further complicates its adoption. However, continuous advancements in AI-human collaboration, explainable AI, and interdisciplinary research are paving the way for safer and more effective applications. This review explores the fundamentals of agentic AI, its applications in various biotechnological fields, and the challenges associated with its deployment. Additionally, it examines emerging trends and future directions, including the convergence of agentic AI with quantum computing and nanotechnology. By addressing both the opportunities and risks, this article provides a comprehensive overview of how agentic AI is shaping the future of biotechnology.

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Main Subjects

International Journal for Biotech Research and Innovations

Articles in Press, Accepted Manuscript
Available Online from 01 August 2025

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