Springer Nature's large-scale survey (10,400+ researchers globally) on AI adoption in research workflows finds significant career-stage divergence — early-career researchers are integrating AI far more deeply than established academics. This is one of the largest empirical studies of AI use in research to date and provides concrete data on the generational shift reshaping scholarly communication. The career-stage gap has implications for editorial processes, peer review, training, and the future of academic norms around AI. Top-tier relevance for p2preview.

Source: Knowledge Speak