策略周评20260322：GTC大会开幕，首提“Toke经济学”

Group 1: AI Industry Trends - The global AI industry continues to evolve with a focus on the synergy between computing power, models, and applications, driven by the demand for inference[2] - NVIDIA's GTC 2026 conference introduced "Token Economics," predicting that by 2027, AI computing demand will reach $1 trillion[4] - A long-term computing power agreement worth $27 billion was signed between Nebius and Meta, indicating a trend towards supply locking in the AI infrastructure[3] Group 2: Technological Developments - NVIDIA's new Vera Rubin platform aims to enhance token generation rates by 350 times over two years, positioning itself as a comprehensive infrastructure provider[3] - OpenAI's introduction of the GLM-5-Turbo model reflects a shift towards execution capabilities and pricing power in the AI model market, with a 20% increase in API pricing[5] - The development of a "synaptic transistor" by a South Korean research team shows potential for AI chips in extreme environments, enhancing reliability[4] Group 3: Market Performance - Major tech stocks have shown varied performance, with NVIDIA's market cap at $41.966 billion and a year-to-date decline of 7.39%[9] - Microsoft and Apple have also experienced declines of 20.86% and 8.69% respectively since the beginning of 2026[9] - The overall sentiment in the AI concept stocks has been influenced by recent policy support from the government, enhancing market confidence[6]