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

Jane2026-06-11T11:11:02+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

Tech Narrative Weekly #21 (Apr 2026, Week 3-4): AI Investment Is Still Expanding, but the Market Wants to See Growth and Profits

Jane2026-06-11T11:14:06+08:00May 4th, 2026|Categories: Tech Narrative Weekly|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Supply Chain and Manufacturing|

Key Events of the Week: What Happened From April 19 to May 2, 2026, the most notable development in the U.S. technology sector was not only that AI investment remained strong. It was that several concrete changes related to AI growth became easier to see. These changes included the shifting relationship between model companies and cloud platforms, the question of whether AI model companies can commercialize fast enough to support high valuations and high capital

Why New AI Demand Still Often Flows to the NVIDIA Ecosystem

Jane2026-06-11T10:52:59+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 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,

After the Groq Move, NVIDIA’s Moat May Be Deeper Than It Appears

Jane2026-03-20T13:38:28+08:00March 20th, 2026|Categories: Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Groq, Market Sentiment and Reflexivity, Narrative and Trust, NVIDIA, Research and Methodology, Supply Chain and Manufacturing|

Executive Summary At first glance, NVIDIA’s move to incorporate the Groq-based NVIDIA Groq 3 LPX into the Vera Rubin platform may look like a new approach to inference workload allocation. But the real focus of this article is not the technical detail itself. It is whether this move suggests that NVIDIA’s moat may be deeper than it previously appeared. The argument here is that NVIDIA’s competitive strength may not rest only on chip performance, the

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

A Second Path Beyond the GPU? Architectural Thinking Behind NVIDIA’s Licensing Agreement with Groq

Jane2026-03-05T13:01:28+08:00March 5th, 2026|Categories: Featured Notes, Global Business Dynamics, Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Groq, NVIDIA, Supply Chain and Manufacturing|

Executive Summary NVIDIA’s licensing agreement with Groq is worth watching not only because the technology itself is extreme, but because it may signal that AI compute architecture is being reconsidered. Even after GPUs have become the dominant platform for AI training and inference, NVIDIA is still willing to engage seriously with an execution model that runs almost counter to the mainstream path. That suggests the demands of the inference era may be making determinism important

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

Before the Power Question, We Still Do Not Fully Understand How AI Will Be Used

Jane2026-01-16T16:19:44+08:00January 16th, 2026|Categories: Strategic Tech and Market Signals|Tags: AI Hardware and Chips, AI Strategy and Ecosystem, Market Sentiment and Reflexivity, Narrative and Trust, Supply Chain and Manufacturing, TSMC|

Executive Summary In the second half of 2025, the conversation around AI began to shift away from model capabilities and application competition toward concerns about power and infrastructure. As a result, the idea that AI growth will be constrained by electricity has quickly taken hold as a narrative that feels both reasonable and intuitive. However, from the perspective of on the ground deployment and operations, as well as from the upstream supply side, the most