Xin Lang Cai Jing·2026-01-19 14:37Core Insights - Google's Gemini AI model performance upgrades are driving significant revenue growth for the company [2][11] - The rapid growth in Gemini's licensing business reflects steady improvements in model performance [2][11] - Increased customer investment in AI is expected to boost spending on other Google products, particularly in cloud services [2][11] Revenue Growth - Over the past year, the licensing business for the Gemini model has experienced explosive growth [2][11] - This growth is anticipated to positively impact Google's core server sales in the cloud segment [2][11] - The upcoming Q4 financial report, scheduled for February 4, is expected to reflect these growth trends [2][11] Gemini Model Performance - Since the release of Gemini 2.5 in March, API call volume has surged from approximately 35 billion to 85 billion by August, indicating a doubling in usage [3][12] - The Gemini Enterprise version has reached 8 million users across 1,500 companies, with over 100,000 online registered users [3][12] Customer Feedback - Customer feedback on the Gemini Enterprise version is mixed, with slightly over half of the clients expressing positive views [4][13] - Some clients prefer developing customized AI agents over purchasing Google's software, which may limit sales of the higher-tier products [5][13] Profitability and Market Position - The initial versions of the Gemini model had negative profit margins, but the 2.5 version has shifted to profitability, although it only covers token service costs [6][14] - The overall profit margin for the Gemini series is still below that of Google's cloud business [6][14] Market Challenges - Google faces challenges in convincing enterprise clients to pay for high-end software developed from its AI models [3][12] - The Gemini Enterprise version has received both praise and criticism, with some clients finding it effective for general tasks but lacking in handling specific requests [8][17]