AI in Asia
3 Before 9: April 12, 2026
3 Before 9

Saturday, 11 April 2026

3 Before 9: April 12, 2026

3 daily AI stories and 1 bold opinion before your 9am kopi

Listen to today's 3 Before 9

Who should pay attention

Founders | Investors | AI developers | Regulators | Data centre operators | Consumers

What changes next

Debate over AI ethics and model integrity is likely to intensify across the industry.

1

TSMC Posts 35 Per Cent Revenue Jump to Record High on Relentless AI Chip Demand

Taiwan Semiconductor Manufacturing Company reported first-quarter revenue of NT$1.13 trillion (US$35.7 billion), a 35 per cent year-on-year rise that beat analyst forecasts and set a new quarterly record. March alone saw a 45.2 per cent annual revenue surge to NT$415.2 billion, driven overwhelmingly by orders for advanced AI processors from the likes of Nvidia and Apple. While smartphone and PC segments softened due to memory shortages, TSMC's artificial intelligence business more than compensated. The chipmaker has also raised prices on its most advanced nodes ahead of its full earnings release on 16 April, where investors will watch whether gross margins held within the guided 63 to 65 per cent range.

Why it matters for Asia

TSMC fabricates the vast majority of the world's most advanced AI chips, and a record quarter confirms that enterprise demand for AI compute in Asia shows no sign of slowing. For buyers and builders across the region, sustained pricing power at the leading edge signals that AI hardware costs are unlikely to fall any time soon - a critical factor for anyone budgeting inference workloads or planning data centre expansions in Southeast Asia, Japan and beyond.^

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2

OpenAI, Anthropic and Google Unite to Combat AI Model Copying in China

Three of the world's leading AI labs - OpenAI, Anthropic and Google - have begun sharing intelligence through the Frontier Model Forum, the industry nonprofit they co-founded with Microsoft in 2023, to detect and block so-called adversarial distillation attempts by Chinese competitors. Anthropic alone documented 16 million unauthorised exchanges traced to three named Chinese firms: DeepSeek, Moonshot AI and MiniMax. US officials estimate that adversarial distillation costs American AI labs billions of dollars annually. The collaboration mirrors the way cybersecurity firms exchange threat intelligence - when one company spots an attack pattern, it flags it for the others in near real time.

Why it matters for Asia

This is the first coordinated defensive operation between all three frontier labs and it directly targets Chinese AI companies that serve millions of users across Asia. For enterprise buyers in the region evaluating Chinese-built models, the move raises fresh questions about the provenance and long-term reliability of those offerings. It also signals that the US-China AI rivalry is shifting from an export-controls battle into active technical countermeasures, reshaping the competitive landscape for AI adoption across Asia-Pacific.^

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3

Digital Realty Pledges S$7 Billion Singapore Investment to Build Asia-Pacific AI Hub

Digital Realty announced a commitment of nearly S$7 billion in total investment in Singapore, with more than S$4.3 billion earmarked for new data centre developments. The US-headquartered firm will launch a Digital Realty Innovation Lab at its Loyang facility in the second half of 2026, giving customers a fully supported environment to develop, test and validate AI and hybrid cloud solutions before wider deployment. Digital Realty has nearly doubled its Singapore workforce to more than 300 over the past three years and expects to grow to 400 by 2030, adding high-value jobs in digital infrastructure and emerging technologies.

Why it matters for Asia

Singapore is fast cementing its position as the region's critical hub for AI inference, and this latest multi-billion-dollar bet adds to a wave of hyperscaler and colocation investment that includes recent commitments from Microsoft and Google. For enterprises across ASEAN planning AI deployments, the expanding capacity in Singapore means lower latency, more competitive pricing and a broader choice of infrastructure partners - but it also intensifies the city-state's challenge of balancing data centre growth with energy and land constraints.^

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That's today's 3 Before 9.

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