Artificial intelligence as a scientific copilot in analytical chemistry: Transforming how we write, review, and publish

Abstract

Artificial intelligence (AI) is increasingly present across all phases of analytical chemistry, not only in experimental workflows but also in the way scientific writing is produced, evaluated, and published. This perspective offers a critical reflection on the growing use of AI tools as writing copilots in the field, focusing on novel yet underexplored practices such as literature review support, manuscript drafting, and AI-assisted peer review. While tools like ChatGPT, SciSpace, and Grammarly are becoming commonplace in manuscript preparation, their integration also raises important concerns about authorship transparency, originality, and the homogenization of scientific voice. The article highlights both the opportunities and limitations of these technologies. A comparative analysis is presented to summarize the main strengths, weaknesses, opportunities, and threats associated with AI use in scientific communication. This work advocates for the responsible adoption of these tools, the development of ethical guidelines, and the inclusion of AI training in analytical chemistry curricula. By encouraging the scientific community to reflect on these changes collectively, we expect to ensure that AI enhances, rather than undermines, the critical thinking and creativity that define scientific authorship.