From Asking to Doing: How the World Puts ChatGPT to Work
OpenAI has released country-level data on ChatGPT usage for the first time. In the accompanying Signals dataset, Singapore ranks first among 147 countries in pe…
Read moreOpenAI has released country-level data on ChatGPT usage for the first time. In the accompanying Signals dataset, Singapore ranks first among 147 countries in pe…
Read moreNew /ask/ page: multi-turn chat grounded in the site’s debates, policies, tracker and other datasets, with source links, available in all five languages. Entry points in the homepage sidebar and the navigation.
Theseus Infrastructure; Razer.
Temasek's annual review, published 2026-07-08, gives AI its own chapter (§3.3 Our AI Strategy). It carries exactly one dated numeric commitment: AI-related investments now make up 6% of the portfolio, to be raised to 10–15% by 31 March 2031 — against a S$518 billion portfolio, reaching 15% means more than doubling AI holdings. The piece walks through the four pillars, the year's purchases (Anthropic / OpenAI / xAI / CuspAI / PhysicsX / Lam Research and others), and what lands in Singapore: Temus's AI Foundry, Aicadium × gategroup, Resaro, and the AI Leadership Programme run with Stanford Graduate School of Business.
On 2026-08-06 OpenAI published country-by-country ChatGPT usage data for the first time. The accompanying Signals dataset ranks Singapore #1 of 147 countries on messages per capita for Q2 2026 (UAE #6, United States #51, Japan #57, Indonesia #101). This is the third independent vendor dataset to place Singapore at or near the top, after Anthropic (AUI 5.53, 1st of 116 regions) and Microsoft (60.9% adoption, 2nd globally). Singapore appears in the article body only as a counter-example — the share of messages from users aged 35+ rose just 1.2 percentage points against a 5.1-point country median; our editor's note explains why that figure measures message composition rather than adoption.
Resaro; Temus.
Monthly snapshots from the official MyCareersFuture API: the first capture (2026-08) counts 1,475 open AI positions, with a disclosed-salary median of S$8,000/month (P25–P75: S$6,000–10,500); TikTok, ByteDance, NTU, Google and NUS lead the employer table. Methodology is frozen and snapshots are immutable — history cannot be collected retroactively, so the series itself is the asset; quarter-over-quarter views unlock once two quarters accumulate.
A monthly digest that distils the most notable 5–10 papers from the hundreds of Singapore-affiliated AI publications on OpenAlex: deterministic prefiltering (Singapore first author or ≥30% authorship share), venue-strength and citation ranking, then model-assisted curation. The first issue features 6 papers across 3 themes — AI safety & evaluation, LLMs & agents, and AI for Science — from NUS, NTU and SUSS, published in four languages.
Why We Hire AIAP Graduates — SAM Part 2.
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