The cultural and business biases in the Chinese-built AI Large Language Model (LLM) for DeepSeek, and the datasets used to train the LLM, can adversely influence business-focused AI research. These cross-cultural factors particularly apply in cross-border business transactions. This article focuses on the potential legal and business risks as well as the potential benefits of DeepSeek and addresses the application of EU privacy law to DeepSeek technology and business practices, and addresses the following questions:

• What is the Cross-Cultural Impact of DeepSeek in Business?
• What is the Data Supply Chain for DeepSeek?
• Can DeepSeek be a Political Research Assistant?
• Can DeepSeek be a Cultural Negotiation Mentor?
• What Risks to the Confidentiality of Business Data Can DeepSeek Create?
• Is DeepSeek a New Frontier in Corporate Espionage?
• Is DeepSeek an Engine to Reverse Engineer Corporate Strategies?
• Can DeepSeek Enable Cyber-Attacks on Steroids?
• Can DeepSeek Silently Undermine Scientific Research?
• What is the Effect of DeepSeek on Corporate AI Acceptable Use Policies?
• What are the DeepSeek Wider AI Lessons?

William A. Tanenbaum co-authored this article with Dr. Matthias Orthwein, a partner at SKW Schwarz.