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AI in ASIA
Tuesday, 10 March 2026

3Before9

3 must-know AI stories before your 9am coffee

Who should pay attention

AI Developers | Healthcare Professionals | Robotics Engineers | Investors | Government Policy Makers

What changes next

Expect increased competition and innovation in the world model AI space, with a focus on real-world applications.

1

LeCun's $1 Billion World Model Startup Names Singapore as Asia Hub

Advanced Machine Intelligence, the Paris-based research startup co-founded by former Meta chief AI scientist Yann LeCun, confirmed on 10 March that it has closed a $1.03 billion seed round - reportedly the largest ever for a European company. The round values AMI at $3.5 billion before investment and includes backing from Nvidia, Singapore's Temasek, South Korean fund SBVA, Jeff Bezos' personal investment vehicle, and a clutch of European VCs. Day-to-day leadership sits with Alexandre LeBrun, previously CEO of medical AI firm Nabla, while LeCun serves as executive chair. The company is building what it calls world models - AI systems designed to reason from real-world physical data rather than from text prediction - with initial applications aimed at healthcare, robotics, and industrial automation. Offices are confirmed in Paris, New York, Montreal, and Singapore, with LeBrun citing proximity to future Asian clients as the rationale for the regional base.

Why it matters for Asia

Temasek's participation puts Singapore money directly behind what may become the defining alternative to large language model architecture, and the SBVA backing connects AMI to South Korea's enterprise market from the outset. With a Singapore office confirmed and healthcare as the first disclosed commercial focus, regional hospital systems, medtech buyers, and industrial operators should expect early outreach from a well-funded lab with serious scientific credibility.^

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2

Japan Puts Physical AI on State-Backed Priority Investment List

Japan's government formally designated 61 goods and technologies as priority targets for state investment on 10 March, following a meeting of Prime Minister Sanae Takaichi's growth strategy panel. Physical AI systems - software-driven AI that controls robots and industrial machinery - were listed among 27 items under early-stage review, alongside quantum computing, regenerative medicine, and marine drones. Each of the 17 identified strategic sectors will have a designated minister responsible for multi-year budget planning, and officials have committed to publishing spending estimates and implementation timelines for every priority item by the summer. Japan's Ministry of Economy, Trade and Industry had already earmarked roughly 387 billion yen for domestic AI development in fiscal 2026 alone, quadrupling prior-year levels. The selection explicitly reflects both economic security considerations and export potential.

Why it matters for Asia

Japan placing physical AI alongside semiconductors in a formal growth strategy signals procurement intent on a scale that will matter to enterprise vendors selling automation, robotics, and AI infrastructure into the market. IDC projects Japan's AI infrastructure spend will exceed $5.5 billion in 2026 - and this priority list is effectively a procurement map for where public money and private co-investment will flow first. Vendors and investors with Japan exposure should mark the summer roadmap release in their diaries.^

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3

Nebius Lands in Singapore to Chase Asia's AI Infrastructure Demand

Nebius, the Nasdaq-listed AI cloud company, announced on 10 March that it is formally expanding across Asia-Pacific, appointing John Haarer as General Manager for the region. Haarer - formerly at Cloudflare and Twilio - will be based in Singapore and will lead commercial growth across Singapore, Japan, South Korea, and India. The move comes off the back of 479% year-on-year revenue growth in 2025, a contract backlog exceeding $20 billion tied to multi-year infrastructure deals with Microsoft and Meta, and $3.7 billion in cash on hand. Nebius positions itself as purpose-built for AI workloads, offering GPU cloud capacity to research institutions and enterprise customers who cannot or do not want to rely solely on hyperscaler supply. The company is targeting annualised run-rate revenue of $7 billion to $9 billion by end of 2026.

Why it matters for Asia

Nebius entering APAC via Singapore adds a well-capitalised GPU cloud alternative at a moment when AI compute demand across the region continues to outstrip supply - particularly for mid-sized enterprises and AI-native startups outside the hyperscaler tier. A dedicated regional GM signals the company intends to compete for local deals rather than serve the market remotely. Buyers in Singapore, Japan, South Korea, and India now have a new vendor worth putting into procurement conversations.^

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