Meta Archives | Small Island Research Notes

The Expansion Logic of AI Infrastructure Is Changing

Jane2026-03-19T20:49:50+08:00March 19th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Meta, NVIDIA, OpenAI, Oracle, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary Several recent signals that appear unrelated at first glance may in fact point to a shift in how decisions around AI infrastructure are being made. Adjustments to the expansion pace of the Abilene data center by OpenAI and Oracle, together with Meta’s description of its in-house AI chip roadmap for MTIA, suggest that companies are facing the same underlying question. As model development, chip generations, and infrastructure construction cycles become increasingly out of

CPU as an AI Pillar, Is Arm Approaching a Structural Inflection?

Jane2026-03-28T20:28:34+08:00February 27th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Amazon and AWS, Ampere, Arm, Meta, NVIDIA, Platform and Business Model, Supply Chain and Manufacturing|

Note (March 2026): I wrote this piece before Arm officially unveiled its own data center CPU. That does not make the original argument irrelevant, but it does change the context in an important way. I am keeping the article largely as it is because the framework still helps explain what to watch. What has changed is that some of the questions discussed here are no longer purely hypothetical. They can now be read

When Grace CPU Reaches Its First Large-Scale Deployment: This Is Not Just a CPU Story but Also a Shift in Data Center Structure

Jane2026-02-27T12:25:01+08:00February 24th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Meta, NVIDIA, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary The first large-scale deployment of the Grace CPU may appear, at the surface level, to be a routine update on product and partnership progress. Within a broader industry context, however, this development may carry structural implications that extend beyond a single product milestone. This article examines the signals embedded in Grace CPU’s large-scale deployment from the perspectives of market positioning, data center architectural evolution, and hyperscaler strategy. These signals include NVIDIA’s changing role

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

How Tech Giants Manage Energy in the Age of AI

Jane2025-11-27T17:33:08+08:00November 27th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, Amazon and AWS, Apple, Foxconn, Google, Market Sentiment and Reflexivity, Meta, Microsoft, Narrative and Trust, OpenAI, Supply Chain and Manufacturing, Tesla|

Executive Summary The growth of AI was once imagined as limitless, but energy is becoming its most tangible boundary. As power shortages emerge as the new ceiling of computation, competition among tech giants is shifting from who owns the most GPUs to who can govern the rhythm of energy. This article examines how seven major technology companies are redefining their relationship with power: Microsoft institutionalizes energy, building a governable system through long-term contracts and nuclear

When Governance Replaces Innovation: How Google Reclaimed the Narrative in the Age of AI Demystification

Jane2025-11-25T10:31:23+08:00November 25th, 2025|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, Google, Market Sentiment and Reflexivity, Meta, Narrative and Trust, OpenAI, Platform and Business Model|

Executive Summary With Gemini 3, Google returned to the center of the stage, signaling a shift in the AI industry from a race of innovation to a race of governance. OpenAI, for the first time, responded defensively to Google’s progress. In contrast, Google integrated Brain and DeepMind, accelerated its decision-making rhythm, and turned AI into the organization’s core engine, demonstrating a new level of structural maturity. As model capabilities converge, the value of AI is

When AI Enters the Reasoning Era: What Meta Reveals About Governance Gaps

Jane2025-11-19T12:03:02+08:00November 18th, 2025|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Strategy and Ecosystem, DeepSeek, Google, Market Sentiment and Reflexivity, Meta, OpenAI, Platform and Business Model|

Executive Summary Meta enters 2025 at the center of a major shift in AI. The company has scaled back FAIR while recruiting new leadership with exceptionally high compensation. It has expanded its compute infrastructure at unprecedented speed, yet appears less steady as the industry moves into the era of reasoning. These actions may seem contradictory, but together they reveal a deeper transformation taking place across the AI landscape. As AI shifts from a competition of

The Boundary Between AI’s Bubble and Its Revolution: From Language to Understanding the World

Jane2025-11-24T11:23:02+08:00November 11th, 2025|Categories: Featured Notes, Future Scenarios and Design, Global Business Dynamics|Tags: AI Strategy and Ecosystem, Amazon and AWS, Apple, Google, Market Sentiment and Reflexivity, Meta, Microsoft, Narrative and Trust, NVIDIA, OpenAI, Tesla|

Executive Summary AI development now stands between the prosperity of language and the turning point of understanding. While today’s large language models demonstrate remarkable generative power, they also reveal a fundamental limitation: they excel at imitating language but have yet to truly understand the world. This growth, detached from reality, suggests that beneath the surface of prosperity, signs of a bubble are beginning to appear. From Microsoft / OpenAI, which focus on language generation, to