Academics Need to Wake Up on AI

Original: https://www.popularbydesign.org/p/academics-need-to-wake-up-on-ai

Author/Source: Alexander Kustov, University of Notre Dame, Popular by Design (Substack), March 2026

Key Ideas: - AI can already perform most social science research tasks better than the global average professor, including literature reviews, data analysis, and conceptual synthesis - The traditional 30-page academic paper is a "dead format walking" -- the real science is the question, pre-analysis plan, and analysis - The commercial journal system may collapse as manuscript production costs drop to ~$100 and a few hours, overwhelming peer review capacity - Academics hold AI to absurd double standards compared to the existing system that routinely produces non-replicable, p-hacked research - Junior scholars face the biggest disruption but also the biggest opportunity: good ideas + AI tools can now produce research at a pace previously requiring full labs - Much opposition to AI in academia is status protection dressed up as principle - The productive concerns are about security, verification, and preventing p-hacking -- not philosophical debates about whether AI "truly understands" - The post was itself fully generated by agentic AI (Claude Opus 4.6) from the author's social media posts

Summary: Kustov, a political scientist studying immigration and public opinion, presents ten deliberately provocative theses about AI's impact on academia. He argues that the combination of agentic AI tools (specifically Claude Code) has already made it possible to produce publishable-quality research in hours at minimal cost, citing examples from Tibor Rutar, Paul Novosad, Yascha Mounk, and Scott Cunningham. This creates a cascade of consequences: journal submission volumes could increase fivefold while slots remain fixed, desk rejection rates would rise from 50% to 90%, and the revenue model of commercial publishers would collapse.

Kustov contends that the traditional research assistant role is being displaced -- he no longer envisions hiring someone to clean data, run regressions, or draft literature reviews. What he values in collaborators is original thinking, domain expertise, and intellectual challenge. He argues that much academic opposition to AI is motivated by status protection rather than genuine concern, drawing a parallel to grammar policing as a form of language gatekeeping. His key challenge to skeptics: "spend one week alone in a room with Claude Code or Codex. Not the chatbot -- the agent." The article notably concludes by revealing it was entirely generated by AI from the author's social media posts, a deliberate provocation that generated significant backlash.

Relevance to Economics Research: This article directly addresses the institutional disruption facing economics and social science research. The economic logic is straightforward: when manuscript production costs drop dramatically, the existing equilibrium of journals, peer review, and career advancement must shift. For economics researchers specifically, the implications for research workflow, hiring of RAs, publication strategy, and tenure evaluation are immediate. Kustov's observation that AI democratizes research capacity -- enabling researchers in Cairo, Sao Paulo, and Jakarta to produce prose matching Cambridge or Stanford -- has implications for the global distribution of academic production and the erosion of elite institution advantages.