According to Demis Hassabis on X, Gemini 3 Deep Think blends expert-level scientific domain knowledge with engineering utility to assist researchers across mathematics, physics, and chemistry, with Prof. Lisa Carbone showcasing complex research workflows powered by the model (source: Demis Hassabis on X). As reported by the X post, the system is positioned for rigorous problem solving and stepwise reasoning in scientific domains, indicating practical applications like theorem exploration, symbolic manipulation, and experiment design support for academic and industrial R&D. According to the same source, these capabilities suggest measurable productivity gains for research teams, creating business opportunities for labs, AI-first scientific tooling vendors, and enterprise R&D groups seeking domain-accurate model reasoning and reproducible outputs.