AI may initially overwhelm academia with more papers, faster analyses, and polished but predictable prose. Yet that may be only a transitional phase.
As authors use AI to pre-review their work and reviewers use AI to evaluate it, routine academic execution becomes easier to produce and less useful as a signal of quality. Writing still matters—but polish alone no longer proves expertise.
This episode examines the symmetric loop between authors and reviewers, the short-run problem of AI slop, and the longer-run movement of intellectual value toward original observations, institutional knowledge, human judgment, and accountable research.
Read the full article and graphic analysis:
Explore more visual economics content: https://econworks.com
YouTube: https://www.youtube.com/@EconWorks-d3e
Substack: https://blog.econworks.com
