Master Thesis: China's AI Business Models and Global Transferability

publicerat av Ericsson

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Företag
Ericsson
Ort
Stockholm
Sista ansökningsdag
Ej angiven
Nivå
Master/civilingenjör (30 hp)
Passar program
Business Administration, International Business, Industrial Engineering and Management

Beskrivning

China’s fast-growing AI market is producing commercial approaches shaped by digital platforms, intense competition and government support. This thesis will investigate which aspects of these business models can compete internationally and what they could mean for the telecom industry. The main focus is China’s consumer market, covering AI models, applications and devices.

The assignment

  • Map the principal business models used to commercialise AI in China.
  • Analyse their influence on markets outside China.
  • Evaluate which components could transfer successfully to international markets.
  • Investigate implications for telecom operators in AI services, AI-supported network operations and edge/AI infrastructure.

Who we are looking for

  • Master’s student with a business studies background and a strong academic record.
  • Analytical, curious and receptive to different perspectives.
  • Fluent in spoken and written English, with native-level Chinese proficiency.
  • Strong understanding of AI technology and developments in the global AI landscape.
  • Interested in research combining business and technology.
  • Detailed knowledge of China’s AI market is an advantage.
  • Experience using services such as GPT and Claude, along with other AI tools and devices, is beneficial.
  • Aligned with Ericsson’s values of professionalism, perseverance, respect and integrity.

What we offer

  • An opportunity to apply your skills to challenging problems alongside a team focused on innovation.
  • A collaborative setting where colleagues support efforts to develop new solutions.

Practical details

Location: Stockholm. Application reference: 792954.

Förkunskapskrav

Applicants should be master’s students with a business studies background, strong academic performance and substantial knowledge of AI technology and global AI developments. Fluent English and native-level Chinese are required. An analytical mindset and interest in interdisciplinary business and technology research are sought. In-depth knowledge of China’s AI market and experience with leading AI services, tools and devices are advantages.

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