Nature, Published online: 10 July 2026; doi:10.1038/d41586-026-02091-6 General purpose AI tools for science, such as Claude Science, promise to accelerate research. But which is right for you?
The proliferation of general-purpose AI tools for scientific research has reached a point where selecting the right one is a critical decision for labs, prompting guidance from major scientific publications.
This indicates the maturation and increasing integration of AI into fundamental scientific processes, significantly accelerating discovery and impacting research productivity and competitive advantage.
The explicit recognition and guidance on 'AI scientists' signifies a shift from experimental adoption to strategic implementation of AI as a primary research tool, leading to altered research workflows and potentially faster advancements.
- · AI-driven research labs
- · Generative AI developers
- · Biotech and pharmaceutical industries
- · Academic institutions adopting AI early
- · Labs slow to adopt AI
- · Traditional research methodologies
- · Specialized scientific software companies
- · Manual data analysis services
Scientific productivity experiences a significant boost across various disciplines.
The demand for AI-proficient scientific talent increases, altering educational and hiring priorities.
The intellectual property landscape becomes increasingly complex as AI contributes meaningfully to discovery and invention.
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