Emmanuel Jeannot
This is an essay, not an experiment, and its argument is about how science itself is changing. The author frames AI not as a sharper tool but as an active participant in the research cycle, and calls the shift the industrialization of research: a move from a craft, where knowledge and judgment live inside the researcher, to a pipeline, where steps get broken apart, automated, and supervised.
Using the Department of Energy's Genesis Mission as the leading example, the essay lays out seven worries: young scientists never learning the craft, AI-generated theories nobody can fully inspect, peer review drowning in machine output, research agendas captured by political and industrial interests, and small errors compounding inside closed loops.
The author is clear this is not an argument against AI in science, but a list of conditions for using it responsibly. This reflects the abstract, so read the full essay for the reasoning behind each point.
Artificial intelligence is transforming scientific research -- not merely as a more powerful instrument, but as an autonomous participant in the research cycle itself. This transition constitutes, in the most precise sense of the term, the industrialization of research: a shift from a craft model, in which knowledge, method, and judgment are embedded in the researcher, to a pipeline model, in which these steps are decomposed, automated, and supervised. The US Department of…
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