As large language models (LLMs) continue to evolve, their role in business administration is expanding, offering enhanced tools for automation, analysis, and communication. This paper presents a comparative study of two prominent LLMs: ChatGPT, created by the U.S.-based company OpenAI, and DeepSeek, a Chinese-developed open-source model. Relying on literature reviews, technical reports, and real-world use cases, the research examines their development paths, functional capabilities, implementation scenarios, and technical constraints. In addition, the study explores the broader AI development strategies in the United States and China by analyzing national policy directions, funding mechanisms, and institutional practices (Normile, 2025; OpenAI, 2023). In addition, the study explores the broader AI development strategies in the United States and China by analyzing national policy directions, funding mechanisms, and institutional practices (Normile, 2025; OpenAI, 2023). The comparison highlights notable differences in effectiveness, transparency, and customization potential between the two models, providing practical insights for businesses navigating AI selection under diverse regulatory and global conditions.

Tong Chen. Research on Comparative Analysis of ChatGPT and DeepSeek in Business Administration and AI Development Strategies. International Journal of Business Management and Economics and Trade (2024), Vol. 6, Issue 1: 32-38. https://doi.org/10.38007/IJBMET.2025.060104.

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