It is possible that Aidan Toner-Rodgers's paper bore the hallmarks of AI-assisted writing. The polished structure, fluent transitions, and journal-ready formatting seemed unusually advanced for a first-year PhD student, especially given the speed with which the work was produced. Large language models are adept at generating academic-style prose, weaving bold claims into coherent narratives, and mimicking the authoritative tone expected in economics journals. If AI tools were used, they may have helped transform fabricated data into a text that appeared credible enough to attract citations from policymakers and coverage in major outlets.
Speculating further, the combination of fabricated data and AI-generated polish would create a particularly deceptive package. The fake numbers provided the illusion of groundbreaking findings, while AI-assisted writing could have smoothed over inconsistencies and amplified the sense of authority. This synergy might explain how the paper gained traction so quickly despite lacking real evidence. While no investigation has confirmed AI involvement, the possibility adds another dimension to the scandal: not only was the data fraudulent, but the very voice of the paper may have been artificially constructed to maximize its persuasive power.