The Gold Rush in AI4Math: Where Are We Now?

📅 2026-08-25
📈 Citations: 0
Influential: 0
📄 PDF
🤖 AI Summary
该研究通过分析arXiv上数学领域的论文,探讨了AI在数学研究中的应用情况及其增长趋势,揭示了AI使用在不同数学领域和国家间的分布不均。
📝 Abstract
Recent advances in artificial intelligence (AI) have sparked growing interest in its use for mathematical research. While some view this as a major opportunity for discovery, others have raised concerns about its impact on traditional research practices. Despite extensive debate, empirical evidence on how AI is actually being used in mathematics remains limited. To address this gap, we collected all 32,944 arXiv submissions posted between March 1 and August 20, 2026, whose primary or secondary categories included Mathematics. We identified 3,575 submissions that explicitly disclosed author use of AI, of which 1,712 involved at least one substantive mathematical contribution. Our analysis reveals several broad patterns. First, disclosed AI use increased sharply over the study period, with substantive use growing from 1.39% of Mathematics submissions in March to 14.09% through August 20. Second, substantive AI use is highly uneven across fields: Combinatorics has the largest number of such papers, while Metric Geometry has the highest substantive-use rate. Third, substantive AI use is geographically concentrated: under weighted author counts, the United States and China together account for about two-thirds of the recognized country weight. Fourth, AI is already being applied to open research problems: among 717 named open-problem records associated with substantive use, 71% are labeled as fully resolved based on the authors' descriptions, with proofs of the conjectured statement more common than counterexamples or disproofs. Finally, AI-system use is also highly concentrated, with OpenAI systems appearing most frequently, followed by Anthropic. Together, these findings suggest that AI-assisted mathematics is expanding rapidly but remains at an early and uneven stage of adoption.
Problem

Research questions and friction points this paper is trying to address.

Artificial Intelligence
Mathematical Research
Empirical Evidence
Innovation

Methods, ideas, or system contributions that make the work stand out.

artificial intelligence
mathematical research
arXiv submissions
substantive use
geographical concentration
🔎 Similar Papers
No similar papers found.