Platform and Business Model Archives | Page 7 of 7

NVIDIA Leadership in AI: Jensen Huang GTC 2025 Keynote

Jane2025-08-27T10:29:36+08:00March 28th, 2025|Categories: Featured Notes, Future Scenarios and Design, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, NVIDIA, Platform and Business Model|

Executive Summary We’ve explored the evolution of AI, NVIDIA’s strategic positioning, and its impact at each stage. The breakthrough of the GeForce 5090 will drive the shift from Perceptual AI to Generative AI. Next, Agentic AI will evolve into Physical AI, and these two will eventually merge, creating a profound real-world impact. While NVIDIA has established itself as the dominant player in the AI ecosystem, the varying hardware needs across industries and use cases will

OpenAI’s AI Ecosystem Strategy: Insights from the Stratechery Interview

Jane2025-08-28T16:28:15+08:00March 24th, 2025|Categories: Featured Notes, Global Business Dynamics|Tags: AI Strategy and Ecosystem, Google, Meta, Microsoft, Narrative and Trust, OpenAI, Platform and Business Model|

Executive Summary OpenAI is actively strengthening its global leadership by accelerating the adoption and application of AI through a diverse range of strategies. The company is focused on enhancing ChatGPT’s user experience and capabilities while expanding its footprint in the consumer market. To achieve this, OpenAI has reinforced its subscription model, deepened enterprise collaborations, and explored multiple revenue streams, including new subscriptions, corporate partnerships, and advertising. On the technological front, OpenAI is committed to advancing

OpenAI’s Trademark Strategy: Signals of a Hardware Move

Jane2025-08-28T16:23:17+08:00March 20th, 2025|Categories: Global Business Dynamics|Tags: AI Strategy and Ecosystem, Narrative and Trust, OpenAI, Platform and Business Model|

Executive Summary OpenAI, now a focal point in the global AI tech sector, has recently registered trademarks in areas such as humanoid robots, VR headsets, AR glasses, smart jewelry, and smartwatches. These actions seem to hint at the company’s future growth trajectory. We believe that OpenAI’s trademark registrations are driven by several considerations: expanding its product line and market influence, protecting its brand in the face of competition, adapting to the trend of AI technology

Microsoft Strategic Shift: 2025 AI Market and Fungible Data Center

Jane2025-08-30T13:10:58+08:00March 1st, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Edge AI, Google, Market Sentiment and Reflexivity, Meta, Microsoft, Platform and Business Model|

Executive Summary Microsoft’s recent capital expenditure adjustments underscore a pivotal shift in the AI market, as the primary focus transitions from model training to inference. Distributed inference is emerging as a significant yet underappreciated demand driver. The company’s decision to delay certain data center construction projects signals a strategic recalibration in response to evolving market structures, a trend mirrored by Google, Amazon, and Meta. However, Microsoft’s fungible data center concept stands out as a key

AI Chip Market Evolution Part 2: Edge AI Training, Inference and Market Trends

Jane2025-09-19T11:46:04+08:00February 19th, 2025|Categories: Future Scenarios and Design, Strategic Tech and Market Signals|Tags: AMD, DeepSeek, Edge AI, NVIDIA, Platform and Business Model, Supply Chain and Manufacturing|

Introduction to Part 2 Following our previous discussion on the cloud AI training and inference market, this article will focus on the on-premises AI chip market for training and inference. Compared to the cloud market, on-premises AI solutions offer distinct advantages in low latency and data privacy. As emerging applications such as autonomous vehicles and smart devices grow, on-premises AI training and inference are expected to be key drivers of future market expansion. This article

AI Chip Market Evolution Part 1: Cloud AI Training and Inference

Jane2025-08-30T12:59:50+08:00February 18th, 2025|Categories: Future Scenarios and Design, Strategic Tech and Market Signals|Tags: Amazon and AWS, AMD, Cloud AI, DeepSeek, Google, Meta, NVIDIA, Platform and Business Model, Qualcomm, Supply Chain and Manufacturing|

Executive Summary The AI chip market is undergoing significant transformations, which can be understood through two key dimensions: deployment environments (cloud vs. edge) and market segments (training vs. inference). Cloud-based training currently dominates the market and is expected to maintain strong growth in the future. Training is critical for AI model development, requiring immense computational power to process vast amounts of data, which is why it is primarily concentrated in cloud data centers. NVIDIA is