AI research papers are getting better, and it’s a big problem for scientists

AI papers increasingly cite flawed pre-2020 studies, polluting research quality. This citation inflation erodes trust in AI findings, complicating R&D prioritization for 2026. Companies betting on AI breakthroughs must implement stricter validation protocols to avoid building on unstable foundations, directly impacting reliability and ROI in commercial applications.