Jane, Author at Small Island Research Notes

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So far Jane has created 94 blog entries.

AI Is Challenging Silicon Valley’s Two-Decade Belief in Being Asset-Light: How Tech Giants Are Deepening Their Bets on Hardware and Infrastructure

Jane2025-11-04T16:03:38+08:00November 4th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, Amazon and AWS, Apple, Google, Market Sentiment and Reflexivity, Meta, Microsoft, NVIDIA, Tesla|

Executive Summary Over the past two decades, Silicon Valley’s formula for success has been built on the belief in staying asset-light. The scalability of software and the power of network effects became the most efficient levers for growth, driving companies to pursue speed, scale, and operational lightness. Generative AI, however, is disrupting this model. From Microsoft and Amazon to Google, Meta, Apple, and Tesla, the world’s largest tech companies are collectively returning to a world

When Qualcomm Redefines “Inference”: A Shift from Chip Specifications to System Architecture

Jane2025-10-28T21:29:14+08:00October 28th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, NVIDIA, Platform and Business Model, Qualcomm, Supply Chain and Manufacturing|

Executive Summary Qualcomm is once again entering the AI chip arena, but the Cloud AI 200 and AI 250 are not simple upgrades to its previous inference cards. They mark a deeper transformation in architectural language. At the core of this shift is Disaggregated Inferencing, a design approach that separates the inference process into two parts: the Prefill stage and the Decode stage. Each module is optimized for different bottlenecks in capacity and bandwidth, redefining

Is DeepSeek-OCR Revealing the Blueprint for the Next Generation of AI Cognitive Memory Systems?

Jane2025-10-23T15:45:54+08:00October 23rd, 2025|Categories: Featured Notes, Future Scenarios and Design, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, DeepSeek|

Executive Summary DeepSeek-OCR marks a major step forward in AI research, moving beyond efficiency optimization toward a deeper understanding of how machines can remember and forget. DeepSeek introduces Contexts Optical Compression, a method that transforms long textual contexts into visual representations. This approach reduces computational cost by an order of magnitude and redefines how language models process and retain information. Technically, DeepSeek-OCR employs a hybrid design that balances high-resolution perception with low activation memory. Strategically,

Rubin Is Not Just a GPU Upgrade: NVIDIA Is Rewriting the Value Chain

Jane2026-02-02T12:21:08+08:00October 16th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Dell, Foxconn, HPE, Lenovo, NVIDIA, Platform and Business Model, Quanta, Supply Chain and Manufacturing, Wistron|

Executive Summary NVIDIA’s Rubin platform may look like a routine GPU upgrade, but its impact extends far beyond chip performance. By redesigning the internal architecture of AI servers, with a larger motherboard, liquid cooling as a core feature, and a modular dual-layer PCBA, Rubin fundamentally reshapes the value distribution within the supply chain. PCB and materials suppliers gain new momentum from increased complexity and higher technical requirements. Liquid cooling vendors and metal processing partners become

Why OpenAI Is Choosing Complexity: The Governance Bet Behind Its Multi-Architecture Strategy

Jane2025-10-14T16:04:26+08:00October 14th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, AMD, Broadcom, Market Sentiment and Reflexivity, Microsoft, NVIDIA, OpenAI, Platform and Business Model|

Executive Summary OpenAI is conducting an unprecedented experiment in governance. Within just two weeks, it announced partnerships with AMD to build a second GPU architecture and with Broadcom to develop custom ASICs, moving from diversifying dependencies to redesigning the very foundations of its computing power. It has deliberately turned complexity into a governance strategy. By maintaining three architectures, including CUDA, ROCm, and ASICs, OpenAI accepts higher integration costs in exchange for the ability to create

What Companies Really Value in Talent: Lessons from Accenture’s Shifting Philosophy

Jane2025-10-05T16:08:32+08:00October 9th, 2025|Categories: Cultural Signals and Emerging Trends, Global Business Dynamics|Tags: Accenture, Leverage and Talent Strategy, Market Sentiment and Reflexivity, Research and Methodology|

Executive Summary This article explores how corporate views on talent have evolved over the past two decades, using Accenture’s shifting language as a lens. Five stages stand out: the cost era of scale, the post-crisis emphasis on governance, the rise of digital transformation, the integration of cloud ecosystems, and today’s AI era. Each stage reflects a different source of leverage, moving from scale and efficiency to cross-domain expertise, platform integration, and now the amplification of

AI and the Memory Cycle: Volatility Delayed

Jane2026-02-02T12:20:07+08:00October 7th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Micron, Narrative and Trust, NVIDIA, Platform and Business Model, Samsung, SK hynix|

Executive Summary AI is increasingly viewed as a structural driver for the memory industry, particularly high-bandwidth memory (HBM), which is deeply tied to GPU platforms and appears capable of breaking free from past cyclical patterns. Yet even as major memory makers emphasize structural demand, they continue to pursue typical cyclical expansions. Reflexive risks are quietly building in the gap between market belief and corporate action. NVIDIA governs the supply chain through standard-setting and phased certification.

What Jensen Huang’s “Even Free Chips Can’t Beat NVIDIA” Really Means

Jane2025-09-30T16:52:26+08:00September 30th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Broadcom, Google, Graphcore, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, NVIDIA, Platform and Business Model|

Executive Summary Jensen Huang’s “even free chips” remark is not simply about price. It is a deliberate attempt to reset the rules of competition. By shifting the focus from chip cost to power-constrained economics, total cost of ownership, and revenue per watt, NVIDIA positions itself as the designer of AI factories rather than a commodity supplier. In this framing, ASICs are relegated to the role of secondary components, their best prospects limited to niches or

NVIDIA’s AI Narrative: When Supply Chain Signals Meet Market Headlines

Jane2026-01-25T11:43:38+08:00September 25th, 2025|Categories: Featured Notes, Global Business Dynamics|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA|

Executive Summary This article examines how NVIDIA’s AI narrative has evolved at the intersection of industry signals and financial headlines. From 2023 to 2025, industry discussions emphasized supply chain bottlenecks, product cycles, and efficiency challenges, while financial markets often condensed these complexities into bold phrases such as “AI era begins” or “efficiency war.” The timeline reveals three key crossovers: 2023 — Industry flagged GPU shortages before markets amplified the story into explosive growth. 2024 —

Reshaping the AI Chess Game: Why NVIDIA Is Betting on Intel and Teaming Up with OpenAI

Jane2025-09-23T16:03:19+08:00September 23rd, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, AMD, Arm, ASE, Broadcom, Foxconn, Google, Inventec, Market Sentiment and Reflexivity, Meta, Microsoft, Narrative and Trust, NVIDIA, OpenAI, Platform and Business Model, Quanta, Supply Chain and Manufacturing, TSMC, Wistron|

Executive Summary NVIDIA recently announced two major moves: investing in Intel to co-develop custom x86 CPUs with NVLink, and partnering with OpenAI to build AI infrastructure at the scale of a million GPUs. These actions may seem independent, but they reveal the same trend: the bottleneck in AI is shifting from the number of GPUs to the efficiency of CPU–GPU integration. In this transition, NVIDIA is reinforcing cross-platform standards through NVLink, Intel is focusing on