Understanding the evolution of the AI industry requires a thorough consideration of the ecosystems of both the new entrants and the incumbents, which requires a closer look at the interdependencies of components in those ecosystems. On the one hand, bottlenecks from the new ecosystems may constrain the rising of technology. On the other, expansion opportunities can enhance the competitiveness of the old technology.
Weiyue Wu outlines a structured model to analyze the pace of AI industry substitution that considers the impact of ecosystems on the new AI industry and old technology. Weiyue then illustrates her point through a case study of autonomous driving, covering the tremendous amount of investments that go into this field (and whether these investments even make sense), exploring new business models, detailing why governments should support autonomous driving, and more.
Weiyue Wu is an investment director at the Oxford Seed Fund. Previously, Weiyue was a founding member of PerceptIn, an autonomous robotics startup company in Silicon Valley, where she brought financial, commercial, and operational experience to the team, and a senior consultant on the automotive service team at Deloitte. She holds an MBA from the Saïd Business School at the University of Oxford.
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