Artificial intelligence (AI) is transforming nearly every domain of science, and scholarly publishing is no exception. From automated language editing to machine-assisted peer review and large-scale content analysis, AI tools are increasingly embedded in scientific writing and publishing. The response from the scientific community has ranged from cautious optimism to outright skepticism. This viewpoint aims to articulate an editorial perspective on the integration of AI into scientific writing and publishing, evaluating both the opportunities and tensions that arise, and offering principles for navigating the road ahead.