According to OpenAI (@OpenAI), the GPT-5 model was tested in collaboration with Red Queen Bio to optimize molecular cloning protocols in real-world laboratory settings. The AI model independently proposed, executed, and refined experiments through a controlled framework, resulting in a 79-fold increase in standard molecular cloning protocol efficiency. Notably, GPT-5 introduced a novel enzyme-based approach among other advanced techniques, demonstrating substantial practical improvements in wet lab research productivity. This partnership highlights significant business opportunities for integrating advanced AI models in biotechnology and laboratory automation, paving the way for accelerated scientific discovery and streamlined R&D processes (Source: openai.com/index/accelerating-biological-research-in-the-wet-lab/).

According to OpenAI, artificial intelligence is poised to revolutionize molecular biology by enhancing cloning efficiency, a core tool in biotechnology. AI-driven optimization allows researchers to design and execute experiments more rapidly, reducing manual trial-and-error and cutting operational costs. These improvements enable faster translation of laboratory discoveries into practical biotechnology applications, such as drug development and agricultural innovation. The integration of AI into experimental workflows not only accelerates research cycles but also increases reproducibility and scalability, providing significant business opportunities for biotech companies investing in AI-powered laboratory automation (Source: OpenAI, Dec 16, 2025).