Policy
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Singapore Debuts Aspire 2B Supercomputer to Power AI Research in Climate and Healthcare
Singapore has switched on Aspire 2B, a S$270 million national supercomputer that ranks as the country's most powerful AI research machine, designed to accelerate breakthroughs in climate modelling, healthcare diagnostics, and multilingual AI.
APAC Enterprises Can't Afford to Wait for AI Governance Rules
Enterprises across Asia-Pacific are being warned not to delay AI governance until regulators force the issue, because retrofitting rules onto already-deployed agentic systems is far harder and more disruptive than building governance in from the start. The region is moving at different speeds.
AI Agents Must Be as Accountable as Human Workers: BT Opinion
The era of treating AI agents as experimental pilots is over, argues a Business Times opinion piece. Singapore’s move to create an AI agent registry signals that autonomous AI tools have shifted from curiosities to operational realities that need to be tracked, owned and governed like human employees.
Singapore to Turn Jurong Island Into AI-Ready Datacentre Hub
Singapore is preparing to transform Jurong Island, its petrochemical and energy hub, into a global reference point for sustainable, AI-scale digital infrastructure, according to a newly published report from Iron Mountain, Baringa, JTC Corporation and the Economic Development Board.
Singapore to Create AI Agent Registry for 150,000 Public Officers
Singapore is building a registry of AI agents to track and manage the use of autonomous AI tools across 150,000 public officers as part of its AI Assistant Desk initiative. GovTech CEO Goh Wei Boon confirmed the system will provide visibility and security over AI agents that make decisions at machine speed.
Singapore AI Strategy Secret: Double Down on Hub Status
Singapore’s economic playbook for AI is straightforward: don’t try to build the next ChatGPT. Instead, the city-state should reinforce what it’s already known for — being a global hub — by focusing on applied enterprise AI solutions at scale rather than competing on frontier models.
Singapore's AI Execution Gap: 71% of Firms Still Haven't Adopted AI
71.5 per cent of firms in Singapore have not adopted AI at all, and only 3.8 per cent have integrated it into core processes. Three gaps — workforce readiness, system interoperability, and shadow AI governance — separate the country's AI policy architecture from its enterprise reality.
Singapore explores 'nutrition labels' for AI products in transparency push
Singapore is consulting tech firms on a voluntary 'nutrition label' system for AI products, requiring providers to disclose capabilities and limitations in a standardised format. The phased approach starts voluntary before assessing whether mandatory rules are needed.
Singapore Remains a Semiconductor Powerhouse by Being Indispensable
Singapore produces one in every ten chips worldwide and accounts for around 20% of global semiconductor equipment output. With a strategy focused on specialty nodes, reliability, and supply chain resilience, the city-state is carving out a position that's difficult to replicate.
Singapore and Microsoft Partner to Stress-Test Frontier AI Models
Singapore's IMDA has signed a memorandum of understanding with Microsoft to jointly develop methods for testing and assessing frontier AI models, including how safely they operate across different languages and contexts. The partnership, announced on June 12, comes amid mounting global concern over.
Singapore Unveils 2035 Standards Roadmap with AI Integration at Its Core
Enterprise Singapore has launched a comprehensive 2035 Standards Roadmap that places AI integration at the heart of the city-state's industrial strategy. Announced by Minister for Trade and Industry Gan Kim Yong on June 11, the roadmap charts how Singapore will develop, adopt, and harmonise.
IMDA and Microsoft Join Forces on AI Safety Research
Singapore's IMDA has signed an MOU with Microsoft to collaborate on AI safety research, information sharing, and policy development. The partnership covers technical research into agentic AI, knowledge exchange on governance frameworks, and shaping a policy framework for frontier AI model access.