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AI in ASIA
Thursday, 9 April 2026

3Before9

3 must-know AI stories before your 9am coffee

Who should pay attention

AI developers | Enterprise AI buyers | Regulators | Chinese AI firms | Meta

What changes next

Debate is likely to intensify regarding cross-border intellectual property enforcement and its implications for AI development.

1

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

OpenAI, Anthropic and Google have begun sharing threat intelligence through the Frontier Model Forum to detect and block adversarial distillation attempts by Chinese AI firms. The rare collaboration targets DeepSeek, Moonshot AI and MiniMax, which US labs accuse of systematically querying frontier models to extract capabilities and replicate them at lower cost. Anthropic alone documented 16 million unauthorised exchanges from the three named firms. The sharing mechanism mirrors how cybersecurity companies swap attack signatures - when one lab spots a pattern, it flags it for the others. US officials estimate adversarial distillation costs American AI labs billions annually.

Why it matters for Asia

This is the first coordinated defensive operation between all three frontier labs, and it lands squarely on Asia's doorstep. For enterprise buyers across Southeast Asia who rely on APIs from these providers, the crackdown could tighten access controls and usage monitoring, while Chinese-built alternatives that benefited from distillation may face capability gaps. Policymakers in Singapore, Japan and South Korea - all of whom are drafting AI governance frameworks - now have a live case study in cross-border IP enforcement to factor into their rules.^

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2

Meta Debuts Muse Spark in Closed-Source Pivot Under Alexandr Wang

Meta released Muse Spark, the first model from its Superintelligence Labs unit led by former Scale AI chief Alexandr Wang, who joined the company last year as part of a $14.3 billion deal. The multimodal model accepts voice, text and image inputs and features a "Contemplating" mode that deploys a squad of AI agents to reason in parallel on complex queries. In a notable strategic shift, Muse Spark is closed-source - a reversal of Meta's longstanding open-weight approach that powered its Llama series. The company says it hopes to open-source future versions but offered no timeline.

Why it matters for Asia

Meta's open-source Llama models became the default foundation for hundreds of Asian startups, government research labs and enterprises building localised AI applications. The pivot to closed-source raises immediate questions for developers across the region who built products on the assumption that Meta's frontier models would remain freely available. Asian AI companies from Tokyo to Jakarta now face a choice between locking into Meta's new API-driven ecosystem or doubling down on alternatives such as Alibaba's Qwen and homegrown open-weight projects.^

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3

GITEX AI Asia Opens in Singapore as Region's AI Spending Heads for $78 Billion

GITEX AI Asia 2026 opened at Marina Bay Sands on Wednesday with more than 550 enterprises and startups, 250 investors managing $350 billion, and delegates from over 110 countries. The event's dominant theme was the shift from model development to infrastructure deployment, with speakers highlighting growing constraints around compute, energy and hardware supply. IDC forecasts regional AI spending will reach $78 billion this year, with Singapore, Malaysia and Indonesia now hosting data centre clusters expected to account for 40 per cent of global capacity by 2030.

Why it matters for Asia

The numbers confirm that Asia-Pacific has moved past the experimentation phase into full-scale AI infrastructure buildout. For enterprise buyers evaluating cloud and compute providers, the concentration of data centre investment in Southeast Asia is creating a regional hyperscale corridor that could reshape procurement decisions and latency calculations. The $78 billion spending figure also signals to governments across ASEAN that the window for setting coherent AI industrial policy is narrowing fast - the infrastructure is being locked in now.^

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Recent Editions

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Wednesday

8 April 2026

  • 1.GITEX AI Asia, the region's largest technology conference, opened in Singapore, attracting significant investment and showcasing the city-state's role as a deep tech hub.
  • 2.The World Bank revised East Asia's 2026 growth forecast downwards to 4.2%, while identifying AI-related exports and investment as a regional economic strength.
  • 3.Microsoft committed $10 billion to Japan's AI infrastructure from 2026 to 2029, partnering with Sakura Internet and SoftBank to address the country's projected shortfall of 3.26 million AI workers by 2040.
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Tuesday

7 April 2026

  • 1.Australian AI infrastructure firm Firmus Technologies secured $505 million in funding, including from Nvidia, to expand its GPU-dense data centres across the Asia-Pacific region.
  • 2.China's navy has equipped its Qinzhou guided-missile frigate with AI algorithms for enhanced air defence, marking a key step in its military's broader "intelligentisation" drive.
  • 3.Microsoft has committed $6.5 billion to AI and cloud infrastructure across Southeast Asia, with $5.5 billion for Singapore and over $1 billion for Thailand, positioning the region as a global AI compute hub.
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Tuesday

7 April 2026

  • 1.South Korea's March exports hit a record $86.13 billion, with semiconductor shipments surging 151% to $32.84 billion on soaring AI data centre demand.
  • 2.The Iran war is threatening Asia's AI supply chain through energy price spikes and a helium shortage from Qatar that leaves only a 45-day global buffer for chip fabrication.
  • 3.Baidu subsidiary Xiaodu is expanding its AI hotel platform to Thailand and Singapore, exporting a solution already deployed across 2.6 million rooms in China.
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Sunday

5 April 2026

  • 1.Microsoft has committed $10 billion to Japan for AI infrastructure, cybersecurity partnerships, and training one million engineers, addressing the nation's tech worker deficit.
  • 2.Alibaba launched its Qwen 3.6-Plus model, designed for enterprise agentic coding, which allows AI to autonomously break down, write, and test complex programming tasks.
  • 3.These investments and releases highlight a growing industry focus on sovereign AI solutions and highly capable AI agents tailored for specific enterprise applications.
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Saturday

4 April 2026

  • 1.Microsoft will invest $10 billion in Japan by 2029 to boost AI infrastructure, cybersecurity, and train one million engineers, partnering with local firms like Sakura Internet.
  • 2.Microsoft also pledged $5.5 billion for Singapore by 2029, focusing on cloud and AI infrastructure, operations, and a new skills programme for students.
  • 3.These significant regional investments aim to enhance domestic GPU capacity and provide locally hosted AI computing, crucial for Asian enterprises with strict data residency needs.
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Thursday

2 April 2026

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  • 2.Please provide the article or its content so I can summarise it for you.
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