Who is leading in AI? An analysis of industry AI research

• URL: http://arxiv.org/abs/2312.00043v1
• Date: Fri, 24 Nov 2023 17:36:09 GMT
• Title: Who is leading in AI? An analysis of industry AI research
• Authors: Ben Cottier, Tamay Besiroglu, David Owen
• Abstract summary: We compare leading AI companies by research publications, citations, size of training runs, and contributions to algorithmic innovations. Our analysis reveals the substantial role played by Google, OpenAI and Meta. Leading Chinese companies such as Tencent and Baidu had a lower impact on many of these metrics compared to US counterparts.
• Score: 0.7839536187821818
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: AI research is increasingly industry-driven, making it crucial to understand company contributions to this field. We compare leading AI companies by research publications, citations, size of training runs, and contributions to algorithmic innovations. Our analysis reveals the substantial role played by Google, OpenAI and Meta. We find that these three companies have been responsible for some of the largest training runs, developed a large fraction of the algorithmic innovations that underpin large language models, and led in various metrics of citation impact. In contrast, leading Chinese companies such as Tencent and Baidu had a lower impact on many of these metrics compared to US counterparts. We observe many industry labs are pursuing large training runs, and that training runs from relative newcomers -- such as OpenAI and Anthropic -- have matched or surpassed those of long-standing incumbents such as Google. The data reveals a diverse ecosystem of companies steering AI progress, though US labs such as Google, OpenAI and Meta lead across critical metrics.

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