An open standard that nobody can run is not a standard. It is a document. I have spent a long time learning the difference, and airihub.io, which I am launching today, is what I have learned put into practice. Start with the framework. The AI Readiness Index (AIRI) began in 2019, out of a plain … Read more
Most AI training treats a hospital director the same as a factory supervisor. That’s why it doesn’t stick. I’ve watched this play out for years, across more than a thousand organisations. A company decides its people need to be “AI ready.” It buys a course, or builds one. Everyone sits through the same slides — … Read more
Prefer to watch or listen? Here is the narrated version of this essay, in my own voice. One person, after hours, no grants — and what it says about what AI can now do I live by one principle: I cannot ask companies and professionals to use AI every day if I do not do … Read more
For the past two years, one slide has appeared in almost every keynote I have delivered. It shows the Three Stages of AI Empowerment: Audiences liked it. I liked it. It is clear, visual, and it carried the argument from individual augmentation to agentic orchestration in three beats. I am retiring it. Not because the … Read more
I recently went back through nearly every project our engineers have built since 2018 — 181 projects across 100E, AIAP, SIP, AIAP for Industry and LADP (excluding our internal projects and special customer projects) — and mapped each one by the AI technique it used. I wanted to see, with evidence rather than impression, how our … Read more
A four-cohort analysis of 285 applicants to the AI Singapore’s AI Apprenticeship Programme (AIAP) produced a clear picture of who gets in — and what distinguishes them from those who don’t. This article is for anyone considering an application. The findings below are drawn directly from outcome data, not from anecdote. The successful AIAP candidates … Read more
This week, I was part of a panel in a UK government AI learning journey on AI, and separately I was also asked to comment by a publication on the same subject. I sat down to write the responses and realised something. The answers weren’t really about Singapore. They were about patterns we’ve seen across … Read more
A Snapshot from the frontline of the Future of Work Earlier this week, I captured a screenshot from a working session in TAAF, the agent framework I have been experimenting with. In a single run, the framework spawned eight specialised subagents in parallel — each with a distinct role, each running independently, each reporting back … Read more
Three AI agents working in parallel. One is running a 72-hour autonomous validation loop across 9,750 lesson variants. Another is building out the aiready.sg website. A third is helping me improve TAAF, our agent framework, while I use it in production. I am not writing code line by line. I am directing, judging, correcting, and … Read more
I recently came across a Youtube interview of John Dykes, the well-known sports broadcaster. He shared a story of his encounter with the late Mr. Lee Kuan Yew. At a dinner, when introduced as the man who presents the Premier League, Mr. Lee shook his hand and asked a simple question: “What do you do?” … Read more