This page is the right starting point when compute is the hidden bottleneck behind a country or company question.
Sector page
Semiconductors and compute across Asian AI markets
Semiconductors and compute is one of the highest-value sector pages because it often explains what the rest of an AI ecosystem can realistically do next. It is the infrastructure layer beneath many seemingly separate company and policy stories.
At A Glance
Use this page to keep the recurring questions in one place
Read it to connect chips, public compute, and model ambition without flattening them into one thing.
It is especially useful for China, Taiwan, Japan, and South Korea.
Adjacent Routes
Move from this hub into the next best page type
These links are here to keep the hub connected to the main briefing, topic, and market layers.
Country briefing
China
Start here for China’s AI policy stack, compute constraints, major companies, and strategic posture.
Country briefing
Japan
Use this briefing for Japan’s governance model, research depth, industrial adoption, and sovereign-compute push.
Country briefing
South Korea
Start here for South Korea’s sovereign-AI push, industrial scale, compute buildout, and policy execution.
Country briefing
Taiwan
Use this briefing for Taiwan’s sovereign-data stack, national compute, semiconductor leverage, and localized models.
Topic hub
AI models and infrastructure
Language models, compute layers, chips, and the infrastructure choices shaping capability across the region.
Topic hub
China
Archive entries tied to Chinese AI policy, firms, infrastructure, and state strategy.
Topic hub
Japan
Archive reporting connected to Japan's industrial AI, research depth, and sovereign infrastructure agenda.
Topic hub
South Korea
Reporting connected to South Korea's sovereign AI push, industrial adoption, and national model programs.
Topic hub
Taiwan
A topic hub for Taiwan's sovereign data, public compute, semiconductor leverage, and localized model work.
What To Watch
The questions this hub is meant to keep alive
Which markets have the strongest structural position in compute, and which are still compensating through policy or alliances?
How should chip production power be distinguished from usable AI-system capacity?
Where does compute constraint become the decisive explanation for everything else in the stack?
Archive Links
Related archive entries
These are the most directly relevant retained pieces currently linked to this hub.
Alibaba AI Chip and Investment Strategy in 2025
Published March 21, 2026 Updated March 21, 2026
Why it matters: Strategic, Technological, and Financial Implications of Alibaba’s 2025 Domestic AI Chip Launch and US$53 Billion Investment in AI and Cloud: A Comprehensive Report.
Comprehensive Profile of Chen Tianshi, CEO and Co-founder of Cambricon Technologies
Published March 21, 2026 Updated March 21, 2026
Why it matters: Chen Tianshi stands among the most influential figures driving China’s artificial intelligence (AI) revolution.
The Tainan Cloud Centre: Computational Bedrock for Taiwan's Sovereign AI and Strategic Technological Autonomy
Published March 21, 2026 Updated March 21, 2026
Why it matters: The inauguration of the new national cloud computing centre in Tainan on December 12, 2025, represents a formal and profound strategic shift in Taiwan's national.
From Bankruptcy to AI Rivalry: How Lisa Su Transformed AMD into a Major AI Chip Competitor
Published March 21, 2026 Updated March 21, 2026
Why it matters: Lisa Su's decade-long leadership of Advanced Micro Devices (AMD) stands as a stunning example of corporate transformation, technological innovation, and strategic.
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