Making sense of AI — by thinking, building, and testing.
Everyone has an opinion about AI. I'm more interested in what survives contact with reality.
I'm Ashley. I write about AI economics, workforce transformation, and the changing relationship between technology and organizations — and build small products to test ideas and learn from practice. This site is my public notebook.
Not a general chatbot — a guide grounded in my notes on AI & the future of work, always linking back to the piece.
AI Myth Detector
Can you tell AI fact from AI hype? Four quick calls.
"So far, 60% of companies have made no material money from AI."
Explore by topic
The real dividing line isn't how much AI you use — it's whether you've made AI part of your working system.
People are anxious about AI — and standing still at the same time. The reasons for staying put sound perfectly responsible. That's the trap.
The AI revolution flooding your feed hasn't shown up in most companies' P&L yet — and that gap is your opening.
No AI hype — just what's real, written down as I go.
I spent years as an HRBP at a Fortune 500 company (Mercedes-Benz Greater China) and a tech unicorn (ByteDance).
Now I'm studying Economics at NTU Singapore, exploring AI, Southeast Asia's digital economy, and how AI is reshaping work, organizations, and industries.
Using AI, I enjoy turning ideas into real products — not for the sake of building products, but to solve real problems, test assumptions, and learn from practice.
AI words, demystified — in plain language.
Short videos that explain the AI vocabulary everyone's using but few can define. No jargon, no hype.