Agentic AI and Peer Review

AI is capable of many tasks, and its abilities are growing at an astonishing rate. I wonder to what extent work in academia and pharmaceutical companies could be replaced by AI. Examples include designing research protocols, conducting data analysis, and writing manuscripts, as well as drug discovery, clinical trials, and efficacy evaluation in pharmaceutical companies. I have heard that data analysis in the pharmaceutical industry is highly standardized, which makes it highly suitable for AI. Furthermore, I believe these tasks should not be entirely delegated to AI; they require supervision by experienced researchers. This raises the question of how to train future researchers. Most researchers accumulate experience gradually through projects, starting with basic tasks. However, if basic tasks are handed over to AI, how will researchers gain experience? I do not believe AI will completely replace humans, but this will certainly be a massive transformation. How should academia and industry adapt to this change?