Publication Type

Case

Version

publishedVersion

Publication Date

10-2025

Abstract

This case series explores the innovative applications and value analysis driven by AIGC (AI-generated content) technology from the perspective of early-stage investments in the Chinese market. We analyse the influence of core factors such as technology progression, market demand, policy environment, industry cycles and data on AIGC-driven value creation; case studies are provided to illustrate how AIGC has varying applications across different industries depending on market conditions. This series contains four cases: first, we first explore the investment opportunities of AIGC by combining the core technological value and industrial application status of generative AI, using China’s energy industry as a smaller example of the impacts of large-scale sectoral changes. The second case, meanwhile, explores how AIGC may be applied to the development of the Chinese Human Resource market, especially to improve the talent market’s efficiency. Case 3 details existing and prospective AI applications in education, a fully 2C market, that raises the efficiency of both institution and students’ learning; meanwhile, Case 4 explains the AIGC market’s large potential within 2B industries such as the legal industry. In analyzing AI’s innovation value from an early venture capital perspective, we see its ability to dynamically interact and adjust within specific industries and enterprises, aligning with venture capital's own value propositions and strategies.

Discipline

Economics | Finance

First Page

1

Last Page

8

Publisher

Sim Kee Boon Institute for Financial Economics

City or Country

Singapore

Embargo Period

11-3-2025

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Included in

Finance Commons

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