Google Archives | Small Island Research Notes

Google and Anthropic’s Competition: Two Different Paths in the AI Era

Jane2026-04-24T17:27:28+08:00April 24th, 2026|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, Anthropic, Google, Market Sentiment and Reflexivity, Platform and Business Model|

Executive Summary Google and Anthropic are not the most obvious rivals, but that is precisely why the comparison is worth paying attention to. Google represents a full platform path, with models, cloud infrastructure, enterprise tools, and global scale, and seeks to absorb AI into its existing platforms and enterprise systems. Anthropic represents a more focused path, seeking to build a long term position across multiple platforms through model capabilities, enterprise trust, and clear positioning. The

Why New AI Demand Still Often Flows to the NVIDIA Ecosystem

Jane2026-04-14T15:52:14+08:00April 14th, 2026|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Google, NVIDIA, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary The AI compute market is becoming increasingly diverse. Large cloud providers continue to push forward with in-house ASIC and XPU development, and the number of alternatives to NVIDIA keeps growing. In theory, new AI demand should become more evenly distributed across different architectures, rather than continuing to concentrate in the NVIDIA ecosystem. But when several recent signals are viewed together, the key question may not simply be who has compute. It may be

Could AI’s Next Growth Phase Be Faster Than Expected?

Jane2026-04-01T11:45:54+08:00April 1st, 2026|Categories: Future Scenarios and Design, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, Anthropic, DeepSeek, Google, Groq, Kimi, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA, OpenAI|

Executive Summary A recent remark by Groq founder Jonathan Ross raises an important question. If models begin to improve the quality of their own learning signals, then the AI growth logic we have become familiar with may no longer follow the same path of diminishing returns. This article does not ask whether Ross’s claim should be accepted at face value. It asks whether the idea behind it is already supported by a set of meaningful

The Linear Narrative Around AI Memory Demand May Be Starting to Show Small Cracks

Jane2026-03-26T16:18:11+08:00March 26th, 2026|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA, Supply Chain and Manufacturing|

Executive Summary In current discussions around AI infrastructure, the market broadly assumes that memory demand will continue rising steadily as models scale, inference workloads expand, and HBM and DRAM remain under supply pressure. This narrative is grounded in real conditions, which is also why it appears especially durable. But once the focus shifts from demand itself to system design, the picture becomes less straightforward. As memory supply, cost, and capacity allocation increasingly become real constraints,

AI Is Reshaping the Cost Structure of the Software Industry

Jane2026-02-05T16:24:39+08:00February 5th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Microsoft, Narrative and Trust, Platform and Business Model|

Executive Summary From Microsoft to Google, senior executives have increasingly centered their earnings discussions on token efficiency, inference costs, and overall system utilization. This shift in language points to a deeper structural change. As software usage itself begins to incur meaningful costs, the long-held SaaS assumption that higher usage naturally leads to higher margins no longer holds universally. For software companies that lack scale, bargaining power over compute resources, or structural cost advantages, heavy users

Following CES: What Vera Rubin Confirmed and What It Changed

Jane2026-01-08T16:37:10+08:00January 8th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Google, Micron, Microsoft, NVIDIA, Platform and Business Model, Samsung, SK hynix, Supply Chain and Manufacturing|

Executive Summary Following CES, NVIDIA’s Vera Rubin platform did not introduce a dramatic shift in specifications. Instead, it clarified a broader direction. In the era of AI inference, the core challenge is shifting away from pure compute performance toward how context is managed. What the Vera Rubin platform reveals is not merely a next generation GPU, but a moment in which the platform itself begins to assume responsibility for memory. As long context and multi

Tech Narrative Weekly #5 (Dec 2025, Week 4): When AI Is Placed Within Real World Structures

Jane2026-02-24T17:05:00+08:00December 29th, 2025|Categories: Tech Narrative Weekly|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA, Platform and Business Model, Policy and Tariffs, Supply Chain and Manufacturing|

Key Events of the Week: What Happened Last week, during the fourth week of December, the U.S. technology sector did not produce a single explosive event that dominated market sentiment. Instead, several seemingly disconnected developments gradually came together at the narrative level to form a coherent picture. Notably, the observation signals in the fourth week showed little substantive difference from those of the third week. First, the relationship between AI and infrastructure became more concrete.

Can Apple’s Philosophy Withstand the Test of the AI Era?

Jane2025-12-09T17:14:48+08:00December 9th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Apple, Google, Market Sentiment and Reflexivity, Meta, Microsoft, Narrative and Trust, Platform and Business Model|

Executive Summary For more than a decade, Apple has stood as one of the most stable symbols in the technology industry, embodying order, control, and perfect integration. Yet the wave of unprecedented executive departures since 2025 has revealed fractures in this once-reliable formula. This is not merely a shift in personnel but a philosophical turning point. Behind this transformation lies the intersection of three long-term curves: the technological, the organizational, and the external. On the

Tech Narrative Weekly #2 (Dec 2025, Week 1): After Efficiency Comes the Era of Governance

Jane2026-02-24T17:04:10+08:00December 8th, 2025|Categories: Tech Narrative Weekly|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Google, Market Sentiment and Reflexivity, Meta, Microsoft, Narrative and Trust, Platform and Business Model, Policy and Tariffs|

Key Events of the Week: What Happened At its annual re:Invent conference, AWS introduced a series of new services, including the Trainium 4 chip, an AI agent platform, and a cloud security framework. Together, they signal a shift from showcasing AI technology to governing AI infrastructure. At the same time, the U.S. government indicated plans to increase support for robotics, automation, and manufacturing reshoring, aiming to embed AI capabilities into the nation’s industrial and security

From TPU Sales to Governance Redistribution: Broadcom’s Role in AI Is Quietly Changing

Jane2025-12-04T12:21:03+08:00December 4th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Apple, Broadcom, Google, Market Sentiment and Reflexivity, MediaTek, Meta, Microsoft, Narrative and Trust, NVIDIA, Platform and Business Model, TSMC|

Executive Summary Broadcom has long been one of Google’s key partners in building the TPU architecture. As Google plans to make its TPU technology available to external customers, this partnership is entering a new phase. Broadcom’s role is shifting from that of a co-designer to that of a modular integrator, serving as a stable and indispensable technical pillar within Google’s institutional framework. This position provides stability, but it also limits Broadcom’s ability to influence the