Core Insights - The recent advancements in AI models, particularly Google Gemini and Anthropic's Cloud, indicate an acceleration in AI progress, which is positive for the AI industry and companies like Nvidia [1] - OpenAI is expected to release a more efficient model in the coming months, leveraging the scaling techniques demonstrated by competitors [2] - The current AI market is not a bubble; instead, it is at the beginning of a multi-year demand acceleration phase [2][3] AI Model Advancements - Google Gemini and Anthropic's models have shown significant improvements in major benchmarks, suggesting a bullish outlook for AI adoption [1] - OpenAI is set to benefit from Nvidia's new NVL 72 AI server clusters, enhancing its model training capabilities [1] Market Valuation Comparison - AI stocks are currently trading at 25 to 30 times earnings, which are believed to be understated, contrasting sharply with the dot-com bubble where stocks traded at 100 times forward earnings [4] Data Center Buildout Cycle - The data center capacity leasing has seen an unprecedented increase, with more capacity leased in the September quarter than in the entire previous year [6] - Major hyperscalers, including Microsoft and Amazon, are planning to double their data center capacity over the next four quarters due to overwhelming demand [8] Investment Behavior - The investment behavior in AI is not reckless; companies are strategically building data center capacity in response to actual demand from startups and enterprises [8][9] - The Nvidia and OpenAI deal is still in the finalization stage, indicating that many anticipated investments have yet to materialize [9][10]