A Few Q&A About AI
At a roundtable at NUS Global Entrepreneurship Forum Singapore, the moderator posed four questions about enterprise AI: how to choose a model, what the core com…
Read moreAt a roundtable at NUS Global Entrepreneurship Forum Singapore, the moderator posed four questions about enterprise AI: how to choose a model, what the core com…
Read moreSingapore introduces generative AI guidelines on use of personal data, chatbots; Singapore retailers take inspiration from China's live commerce, AI tools; Singapore Streamlines Construction Robotics Regulations (4 total)
PDPC Advisory Guidelines on Use of Personal Data in Generative AI; IMDA Generative AI Chatbot Transparency Guidelines; Digital Infrastructure Bill — Public Consultation (4 total)
Christian Wolfrum.
Opening Speech By Minister Josephine Teo at Singapore Data Festival at Sands Expo and Convention Centre; Remarks by Minister Josephine Teo at IBM Think on Tour Singapore; Speech by MOS Rahayu Mahzam at the Launch of KPMG and NLB’s “Read to Lead: Building an AI-Ready Mind” (6 total)
Implementation of Stay-down Measures for Non-consensual Intimate Images and Sexualised Deepfakes under the Online Safety Commission; Watermarking and Digital Provenance Standards for AI-generated Media, Metadata Preservation and Cross-platform Coordination; Key Risk Thresholds to Regulate High-risk AI Deployments and Mandatory Human Oversight for Fully Automated Decisions (5 total)
Notes from an sgai editor on a panel at the NUS Global Entrepreneurship Singapore forum: how enterprises should choose models (one principle, two exceptions), why Data becomes the real moat once model capabilities converge, why a CEO must personally burn through the quota of the smartest model, and what actually makes a company AI-native — being organized around its data. Published in all five languages.
The AI 'news anchors' spreading misleading claims about Singapore on TikTok.
Probe into Social Media Posts that Targeted Singapore's Indian Community and Review of National Framework to Counter Such External Influences.
Every parliamentary question, response, and debate on AI from 2015 to 2026.
12 continuously updated datasets — each card shows its latest addition.
Understand the framework
The state wraps itself around enterprise AI-native transformation. The state itself doesn’t need to become AI-native — it just needs to amplify how fast enterprises do.
Different questions, different entry points. Tell us what you’re trying to do.
Six-lever map, policy evolution, international benchmarks — the whole story, joined up.
Read the core argument →Policy library, AI legal framework, parliamentary debates, references — citable sources.
Browse policy & debates →Startup ecosystem, ecosystem map, talent pipeline, open source, international benchmarks.
Browse ecosystem →Recent updates, tracker readings, latest parliamentary debates, fresh policies.
View updates feed →Six levers, 115 concrete projects. Re-sliced by "how AI gets pushed in" — cutting across ministries into a single execution pipeline.
"AI-native isn’t scale — it’s architecture. A country cannot be AI-native "on its own"; it has to transmit through to enterprises."
Read the "AI-native country" essay