Master Thesis: China's AI Business Models and Global Transferability
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Quick Summary
Key Responsibilities
* Describes key AI business models in China. * Examines how these models influence global markets. * Assesses which elements may be transferable and competitive internationally.
Technical Tools
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## Join our Team
About this opportunity:
China has become one of the world’s most important AI markets, with rapid development across consumer and enterprise applications. Alongside advances in AI models, Chinese companies are developing distinctive ways to commercialise AI, including low-cost services, open-source models, AI-enabled consumer platforms, enterprise solutions, and agentic AI.
These business models are shaped by a dynamic ecosystem that includes large digital platforms, strong mobile and e-commerce markets, intense competition, rapid product iteration, and government support. It remains an open question which elements are specific to China and which could succeed in international markets. Understanding how these models travel—and what that could mean for the global telecom industry—is the focus of this thesis.
The project will focus primarily on China’s consumer market and relevant AI product areas, including models, applications, and devices.
What you will do:
* Describes key AI business models in China.
* Examines how these models influence global markets.
* Assesses which elements may be transferable and competitive internationally.
* Explores how these developments could affect telecom operators’ opportunities in AI services, AI-enabled network operations, and edge/AI infrastructure.
The skills you bring:
* A background in business studies.
* Strong knowledge of AI technology and global AI developments.
* Native-level Chinese language proficiency.
Location & Eligibility
Where is the job
Not specified
Location terms not specified
About this job
- Posted
- Today
Listing Details
- Posted
- October 28, 2026
- First seen
- October 28, 2026
- Last seen
- October 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 54%
- Scored at
- October 28, 2026
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