The Publication Count Is Broken: Why AI-Generated Academic Papers Demand New Metrics

By late 2024, roughly one in five computer science papers carried the fingerprints of a chatbot. Stanford researchers scanned more than a million abstracts and found that 22.5 percent showed clear signs of large-language-model editing. In biomedicine, the share sat near one in seven. This is the daily output of a global research system that governments, universities and accreditation boards still measure by counting pages. AI-generated academic papers moved from novelty to norm in a few short years, faster than the institutions that judge research quality could keep up. The count-based systems built for a slower, more effortful era of scholarship need a full rebuild, not a patch before volume metrics lose whatever meaning is left in them.