Platform and Business Model Archives | Small Island Research Notes

The Market Trusts Buildable AI, But Still Waits for AI That Customers Will Pay For

Jane2026-05-14T16:05:20+08:00May 14th, 2026|Categories: Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Platform and Business Model, Supply Chain and Manufacturing|

Executive Summary Investment markets are applying two different standards of evidence to AI. The market has been willing to believe in AI infrastructure because GPUs, data centers, AI servers, optical communications, liquid cooling, power equipment, and supply chain orders can be built, measured, and reflected in financial results. But when the discussion shifts to SaaS and AI applications, the market asks for clearer proof of commercialization, including enterprise willingness to pay, user habits, workflow change,

Tech Narrative Weekly #22 (May 2026, Week 1): The AI Story Continues, but the Market Is Looking More Closely

Jane2026-05-10T21:44:43+08:00May 11th, 2026|Categories: Tech Narrative Weekly|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Platform and Business Model, Policy and Tariffs, Supply Chain and Manufacturing|

Key Events of the Week: What Happened From May 3 to May 9, 2026, the most visible change was that model companies continued to need more compute, while their sources of compute became more diversified. The long-term cloud and chip partnership between Anthropic and Google Cloud did not simply reflect the expansion of one company. It showed that model competition is entering a stage that requires more long-term infrastructure support. If model companies want to

In the AI Era, the Market Is Reassessing Software Companies

Jane2026-05-02T18:22:18+08:00May 6th, 2026|Categories: Featured Notes, Global Business Dynamics|Tags: AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Platform and Business Model|

Executive Summary For some time, software companies have continued to report solid, and sometimes better than expected, earnings results. Yet the market response has remained relatively cautious. This gap may not reflect a problem with company performance. It may reflect a broader reassessment of software companies in the AI era. In the past, software companies could often earn higher valuations through subscription models and predictable growth. In the AI era, the market is beginning to

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

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

Tech Narrative Weekly #12 (Feb 2026, Week 2-3): A Market in Waiting

Jane2026-02-24T17:06:42+08:00February 22nd, 2026|Categories: Tech Narrative Weekly|Tags: AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Platform and Business Model, Policy and Tariffs|

Key Events of the Week: What Happened Due to the Lunar New Year holiday in Taiwan, this issue combines observations from the second and third weeks of February 2026. During these two weeks, the US technology sector did not experience a single highly dramatic event. Compared with the concentration and emotional amplification triggered by frontier AI developments earlier in the month, the market environment became more dispersed and notably calmer. The focus of discussion shifted

Tech Narrative Weekly #11 (Feb 2026, Week 1): A Week Without a New Story That Marked a Turning Point

Jane2026-02-24T17:06:30+08:00February 9th, 2026|Categories: Tech Narrative Weekly|Tags: AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Platform and Business Model, Policy and Tariffs|

Key Events of the Week: What Happened In the first week of February 2026, discussion across the US technology sector showed a clear moment of convergence. Market attention was briefly pulled toward frontier AI developments, pushing conversations higher in intensity and reviving underlying anxieties about software economics and the role of platforms. This concentration was not simply technological excitement. It resembled a reflexive pause in which the market stepped back to reexamine assumptions that had