According to Anthropic (@AnthropicAI), their AI for Science program has been collaborating with research labs to demonstrate how the Claude AI model is significantly accelerating scientific research. The company shared insights from three laboratories where Claude is transforming research workflows, enabling faster data analysis, hypothesis generation, and discovery of novel scientific insights. This collaboration highlights practical applications of large language models in scientific domains such as chemistry, biology, and physics, opening new business opportunities for AI-driven research solutions and driving innovation in AI-powered scientific discovery (Source: Anthropic, 2026).

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).