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Core Insights - The global semiconductor revenue is expected to double from 2024 to 2030, reaching over $1 trillion, driven by the transformation of artificial intelligence into GenAI, Agentic AI, and Physical AI applications [1][3]. Group 1: AI Infrastructure Development - The main catalyst for this growth will be the development of advanced AI server infrastructure, driven by the continuous and rapid growth in AI application demand, primarily from hyperscale computing platforms [3]. - The first phase of infrastructure deployment is driving the growth of token consumption as the market shifts from text-based applications to more rich, multimodal GenAI that combines text, images, audio, and video [3][4]. Group 2: Semiconductor Demand and AI Value - The wave of AI applications will create significant demand for cloud and edge computing capabilities, memory, and networking, which will have a substantial impact on semiconductor consumption [4]. - Currently, much of the value generated by AI is concentrated in the semiconductor sector, including hyperscale enterprises and secondary cloud service providers, as they compete to build AI infrastructure [4]. Group 3: Market Dynamics and Future Outlook - In 2024, the AI market will be primarily hardware-driven, with approximately 80% of direct revenue coming from semiconductor infrastructure and edge computing [5]. - The industry is entering a new phase driven by an AI token economy, which is expected to foster an ecosystem of applications and services similar to the mobile app economy of the past decade [5]. - The next wave of AI will release significant value through increased labor productivity and widespread automation, leading to substantial operational cost savings [5].