Austin Horng-En Wang, Kyle Siler-Evans
The authors analyze global large language model (LLM) adoption patterns, with a focus on the competitive dynamics between the United States and China. Using website traffic data across 135 countries from April 2024 through May 2025, they tracked site visits to major U.S. and Chinese LLM platforms to assess market penetration, identify geographic adoption patterns, and examine the impact of the January 2025 DeepSeek R1 launch. The authors explore three key drivers of international LLM adoption: pricing strategies, multilingual capabilities, and government-led artificial intelligence (AI) diplomacy initiatives. The authors aim to provide insights to policymakers, technology leaders, and industry observers who seek to understand the evolving U.S.-China competition for AI supremacy.
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