Zhong Guo Xin Wen Wang·2025-04-10 12:35Core Insights - The future of AI will see a significant reduction in usage costs, decreasing by approximately 10 times annually, driven by scale effects in technology and economic benefits [3][4] - By 2030, AI tasks are expected to account for 64% of total network traffic, necessitating urgent innovations in network infrastructure [3] - The number of AI intelligent agents is projected to surpass the human population, with 80% of people interacting with smart robots daily by 2030 [4] Group 1: AI Development Trends - The scale effect in technology will lead to an exponential growth in AI capabilities, improving by about 10 times each year due to high-level algorithms, high-performance computing, and quality data [3] - The economic scale effect will enable broader and deeper applications of AI, significantly lowering usage costs [3] - The integration of AI terminals with cloud-edge computing will enhance the performance of AI agents, providing expert-level personalized services [3][4] Group 2: Impact on Industries - The automotive industry will see over 80% of new cars being smart connected vehicles by 2030, driven by high-performance computing and low-latency networks [3] - In various sectors such as manufacturing, home care, and elderly care, "silicon-based labor" will emerge, with a significant increase in the number of robots [4] - The demand for inference computing power will outpace training computing power, with a projected compound annual growth rate of nearly 40% over the next three years [5]