The Real AI Story in Asia: Compute is Becoming an Asset Class | Report Download

Bottom line: export controls have hardened into boundary maintenance — they’re not stopping Chinese AI adoption, and they’re not the force reshaping Asia’s AI capital landscape.

A second, faster-moving mechanism is: the financialization of compute itself, and it’s barely touched by the restrictions at all.

Chinese models now at 46% of US companies’ weekly AI usage, up from 4.5% in early 2025, despite restrictions holding.

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What’s actually happening:

• Restrictions are playing defense, not offense — the recent Z.ai blacklisting closes a gap firms already found, it doesn’t open new ground.
• A separate mechanism is turning compute into a financeable, tradeable asset — China’s own regulators call it “computing banks”; Nvidia’s mirror version is a $500B financing platform.
• That mechanism is showing up unevenly in Asia’s listing pipeline: one company is carrying the entire “AI scarcity premium” story right now, not the group.
• Wall Street collects fees on the buildout regardless of who wins the model war — the fee-collection story and the model-competition story are decoupled.

“These new models essentially financialize computing power.”

— Pan Helin, Economist, China’s Ministry of Industry and Information Technology (MIIT)

SK Hynix’s $26.5B US listing, 7x+ oversubscribed, vs. Unimicron’s $1.4B offering priced at a discount despite real demand

“[SK Hynix is] large, liquid, AI-critical, and hard for many U.S. investors to own directly.”

— Ophir Gottlieb, CEO, Capital Market Laboratories

Full report below.

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Report: Compute Scarcity, Capital Flows, and the Emerging Geographics of AI Infrastructure in Asia

This report examines how compute scarcity, infrastructure financing, capital flows, and regulatory constraints are reshaping the geography of AI infrastructure in Asia.

It connects developments that are often viewed separately—from HBM and semiconductor bottlenecks and China’s growing AI-model usage, to Hong Kong’s role as a regulatory and infrastructure hub, Southeast Asia’s data-center expansion, emerging financing structures, and the Asian technology listing pipeline—to identify where structural leverage, capital, and infrastructure capacity are concentrating.

WHO THIS IS FOR

• Investors — See where compute scarcity, infrastructure finance, and shifting capital flows are creating differentiated opportunities across Asia as of August 2026.
• Infrastructure operators — Understand how power, regulation, demand, and capital are reshaping where AI compute can be deployed and scaled across Asia.
• Hardware strategists — Separate genuine AI bottlenecks from broader AI-adjacent exposure, and pattern-match against the companies currently occupying the most strategically significant positions.
• Capital markets — Track the financing, listing, and M&A structures forming around AI infrastructure in Asia — and how those capital flows are reshaping the East–West AI divide.
• Policymakers — Understand how compute availability, power, regulation, and access to capital are determining which Asian markets can attract the next wave of AI infrastructure investment.
• Strategy & intelligence teams — Connect AI demand, compute constraints, capital flows, export controls, and geography to see structural shifts that do not appear clearly within any one market.

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