Business & execution
Thailand's AI Opportunity Needs a Procurement Evidence Test
Why an AI strategy announcement is only the beginning of understanding how a public-sector customer actually buys.
Read on AI in Asia (opens in a new tab)I write about leading and growing businesses, the changing role of technology, and the decisions that turn ideas into useful outcomes.
My perspective comes from commercial and operating leadership, building services of my own, and staying curious about how people and organisations work. I explore what emerging ideas and developments mean for businesses and communities across Asia and globally, and how their implications change with the market, culture and context.
Here you will find longer essays alongside the Friday Frame, my weekly reflection on something that caught my attention and what it might mean in practice. For the books, conversations and interests shaping my thinking, visit my now page.
All views are my own.
Faster production raises a commercial question: are customers getting a document faster, or getting the job done?
A visual take on the ideas behind my weekly reflection. Explore the comic, then read the full piece.
A wider reading list
Selected writing on technology, work, data and everyday life. Each piece was published under my byline and links to its original home.
Business & execution
Why an AI strategy announcement is only the beginning of understanding how a public-sector customer actually buys.
Read on AI in Asia (opens in a new tab)Investment & innovation
Looking beyond national AI ambitions to the financing, product development and access to computing that businesses need.
Read on AI in Europe (opens in a new tab)Work & pay
What high-paying early-career job adverts reveal when you read the role titles as carefully as the salary figures.
Read on PayLine (opens in a new tab)Cars & city life
Reading Singapore’s car-registration data beyond the brand rankings, while keeping the limits of the comparison in view.
Read on COEwatch (opens in a new tab)Language & technology
Three approaches to Arabic-language AI, exploring the choices behind open models, consumer products and specialised systems.
Read on AI in Arabia (opens in a new tab)Faster production raises a commercial question: are customers getting a document faster, or getting the job done?
If AI takes over the work people used to learn on, where will the next generation gain experience?
Who actually controls that decision? By what date do we need an answer? What’s Plan B?
Attribution can organise marketing evidence. Better decisions also need clear questions, commercial context and honest limits.
The sales conversation can end before we know it’s started.
Connect marketing spend to customer decisions, commercial outcomes and evidence that supports the next investment.
Evaluate technology businesses through customers, research, competition, policy and the operating conditions a decision depends on.
Does the approval still fit the work?
What digital self-harm means, why assumptions can mislead, and where adults can find informed guidance on supporting young people.
Training becomes useful when people have the workflows, incentives and support to put what they learn into practice.
Persistent work strain deserves practical support, honest changes to the job and room to consider whether staying is sustainable.
Scaling across markets means deciding what stays consistent, what local teams can adapt and who has authority to act.
Make your point easier to follow with a clear structure, deliberate pauses and a room that supports your voice.
Technology investment needs pricing, incentives, customer expectations and operating responsibilities that fit the promised service.
Share useful experience, understand the context and give people room to develop their own judgement. Lessons for mentoring and leading teams.
Clear decision rights help teams act with confidence, surface risk early and keep work moving.
Reported AI productivity gains are encouraging. Leaders still need a baseline, a business outcome, a guardrail and a dated decision.
Useful downloadable content gives players a clear reason to return and developers a better question than how much to release.
An empty inbox helps only when commitments, decisions and follow-ups have a reliable home.
A court can find an illegal monopoly and still change nothing about who owns the trade on either side of it. The fix that's meant to follow isn't public yet, and won't be for another month.
Amazon Pay offers a lens on checkout, customer trust and the commercial decisions involved in adopting a familiar payment service.
A later high-risk deadline does not answer a transparency question. Start with the system, the organisation's role and the obligation, then put a date beside it.
Judge mobile advertising spend through customer intent, commercial contribution and the quality of the journey after the click.
A friend's design house lost its production work and its first-year jobs over several years, without a single month where anything visibly happened. Gen Z's adoption is holding steady, excitement is down 14 points and anger is up 9.
Choose a useful question, practise remembering, apply one idea and give learning a place in your working week.
AI can be at the table. It can't be in the dock. Three answers I gave a panel about what I wouldn't use AI for, and a fourth I nearly missed.
If reviewers miss a third of dangerous agent requests, what you've written into policy as a control is really a story you're telling the board.
AI suppliers lobbying against a ban on their biggest competitor are quietly disclosing something about their own commercial model. Most boards haven't worked out what that means for their risk register yet.
OpenAI is shutting down Atlas nine months after launch. The lesson isn't that browsers failed. It's that the agent capability moved into the surface users already open, and it doesn't fire the pixels boards still budget against.
Vendors are quietly shifting from flat licences to usage-based pricing. If the board hasn't built a token-consumption governance layer, next year's AI spend has no ceiling.
OpenAI will have ad sales on the ground in every major advertising region within a year. If boards haven't decided what ChatGPT is to them by then, procurement will decide for them.
Google's AI Overviews are the antitrust question wearing a search costume. Boards asking what their own model can do are missing the bigger question their CFO is about to own.
Google DeepMind's Project Genie at Cannes turned the storyboard into a playable prototype. The pitch becomes the prototype. Agencies have to decide whether they own the prototype layer or orbit it.
Most founders think their job is to be wanted by everyone. It's the opposite. The ones who win choose someone to be unmissable to, say a polite no to the rest, and let the market confirm the choice. Here's the case, with the data and the stories behind it.
Most founders think their job is to be wanted by everyone. It's the opposite. Choose someone to be unmissable to, say a polite no to the rest, and let the market confirm the choice.
Boards keep asking 'what's our number?' But headcount is the output of a decision, not the decision itself. What's changing is the unit of work, and the junior-heavy pyramid that was built to deliver it.
A single seat for AI accountability is a comfort to the board, not a fix for the operating model. The work belongs distributed, or it doesn't land at all.
When the reporting layer finally sees what was always there, a lot of marketing orgs are going to discover they've been optimising against a fiction. The repricing won't be gentle.
Share of voice was about being seen. Share of prompt is about being cited. Most operators don't have a number on it yet.
Vendors are being asked to commit to business outcomes they cannot solely steer. Outcome ownership without control is not a contract. It is a story.
Japan does not have a Sam Altman moment or a DeepSeek moment. What it has is a patient accumulation of laws, line items, and small models that, taken together, form the most institutionally serious AI strategy in the Asia-Pacific. It is the most under-read story in the region.
Every late-night save is a system that did not catch the issue earlier. The best operators stop rewarding heroics and start rewarding boredom.
Singapore is not racing China on chips or training a frontier LLM. It is doing the slower thing. Building a rulebook, a compute plan, and a workforce ladder that other Asian countries can plausibly adopt. That is starting to look like the most replicable AI strategy in the region.
Most AI adoption is the second. Coping faster than competitors is a real advantage, for a while. But it has a shelf life.
If a vendor commits to an outcome and the customer has not nominated a single named owner internally, the deal has already failed. It just has not noticed yet.
The tool produces an answer in four seconds. The organisation still takes four weeks to act on it. The bottleneck has not moved. It has just got more visible.
A first-day-of-Lunar-New-Year reflection. The Horse is forward momentum. The discipline I want to take into 2026 is choosing what to run towards, and what to carry with me when I do.
Taiwan can't treat AI as abstract. It hosts the infrastructure, feels the weight of every training run on the grid, and is forcing the question most markets are avoiding: does the benefit justify the load?
AI is not new. It has cycled between hype and AI winter since the 1950s. What is new is the scale of the bet, and the fact that the people making decisions about it often have no shared vocabulary for what they are actually buying. That is why the literacy events matter.
Singapore is not just a city-state. It is a live experiment in intelligent design applied to everything from urban planning to economic policy. After nearly 15 years living here, I keep coming back to one question. What if more companies actually ran themselves the way Singapore runs itself?
Predictive analytics. LLM hallucinations. Reinforcement learning. The boardroom has a vocabulary problem. With AI reshaping every part of the business, senior leaders cannot afford to speak only one language, especially if it is not tech.
I publish irregularly. The Friday Frame ships most weeks. The longer essays land when they are ready. Drop your email and you will get a note when something new goes up, or when an existing post gets a meaningful rewrite. Nothing else.