Core Insights - The launch of OpenAI's GPT-5.2 aims to compete with Google's Gemini 3, marking a significant phase in the ongoing rivalry between the two AI giants [1][5] - Morgan Stanley and other financial institutions believe that the global AI infrastructure investment wave is just beginning, with potential investments reaching $3 trillion to $4 trillion by 2030 [4] - The competition between Google and OpenAI is expected to drive significant demand for AI computing infrastructure, particularly in data center interconnect (DCI), optical interconnect, and enterprise-level high-performance storage [4][6] Investment Themes - Morgan Stanley identifies three major investment themes benefiting from the AI competition: DCI, optical interconnect, and enterprise-level high-performance storage [1][3] - The DCI and optical interconnect sectors are crucial for both Google and OpenAI's AI training and inference capabilities, with companies like Arista, Cisco, and Lumentum being highlighted as key beneficiaries [3][6] - The storage sector is also poised for growth, with companies like Seagate and Pure Storage expected to benefit from the increasing demand for high-performance storage solutions driven by AI applications [7][8] AI Model Developments - OpenAI's GPT-5.2 has achieved record performance in various benchmarks, including coding and scientific research, positioning it as a leading AI model in professional settings [5] - Google's Gemini 3 has generated significant AI token processing capacity, leading to increased demand for high-bandwidth memory (HBM) storage systems and enterprise SSDs [3][5] Market Dynamics - The competition between Google and OpenAI is seen as a catalyst for a broader AI boom, with implications for various sectors, including cloud computing and data storage [4][6] - The ongoing demand for AI infrastructure is expected to remain strong, with both companies investing heavily in their respective AI capabilities and infrastructure [1][4]
谷歌与OpenAI上演“AI巅峰对决”!三大投资主题贯穿这场神仙打架:DCI、光互联与存储