Artificial intelligence is doing more than changing the way researchers write papers. Writers can now use AI to preempt objections, test specifications, enhance code, and polish manuscripts before submission. Reviewers can use similar tools to identify shortcomings, generate reports, and recommend revisions.
It’s a self-reinforcing loop: the author’s AI is making the paper for the reviewer’s AI.
In the short term, cheaper execution might flood academia with polished but unoriginal work. But the AI slop might not be the long-term result. As common as writing, coding, reviewing literature, and doing robustness checks are, they lose their signaling value for research quality.
What is still scarce and harder to produce is an original idea, knowledge of how the evidence was generated, proximity to the real-world problem, human judgment, and accountability.
On this episode of *The Age of AI*, we explore what happens to academic publishing when technical execution becomes a commodity—and why the age of AI might ultimately bring research back to ground truth.
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