Tech in Asia Podcasts
Tech in Asia Podcasts
Podcast Description
Go beyond the headlines on Asia's business, tech, and startup news. We tell the stories behind the biggest news, most innovative companies, and the people making it all happen - from Asia to the world 🌏.
Podcast Insights
Content Themes
The podcast explores various critical topics such as fintech challenges, market dynamics in Asia, and the rise of innovation in technology. For example, episodes delve into the drama surrounding Chocolate Finance, the impact of influencer marketing, and China's tech landscape, alongside discussions about Malaysia's aspirations in AI and semiconductors.

Go beyond the headlines on Asia’s business, tech, and startup news. We tell the stories behind the biggest news, most innovative companies, and the people making it all happen – from Asia to the world 🌏.
Singapore is going all-in on AI.
From a Prime Minister–led AI council to billions in investment, talent visas, and national missions across healthcare, education, and beyond—the ambition is clear: become a global AI superpower.
But ambition is the easy part. In this episode, we break down the real question: can Singapore actually pull it off?
We go beyond the headlines to unpack where value in AI is really shifting—from building frontier models to deploying trusted AI systems in the real world. We explore why the future may belong not to the biggest labs, but to the fastest builders—and what that means for a small, resource-constrained nation like Singapore.
We also dig into the hard parts:
Why talent is the entire game (and why it’s a double-edged sword)
Whether Singapore risks becoming a nation of AI users instead of builders
How AI could reshape jobs, industries, and the country’s economic model
And what it would actually take to build a durable, post-AI society
If Singapore gets this right, it doesn’t just win in AI—it rewrites its future.
Timestamps
00:00 — Cold open: Why Singapore can’t afford to miss AI
00:48 — Intro: Can Singapore’s AI ambitions actually work
05:32 — The shift in AI: from models → real-world deployment
10:30 — The 3 AI primitives: memory, browser use, payments
14:24 — Why Singapore is uniquely positioned (MAS, governance, trust)
20:30 — The talent problem (and why it’s everything)
25:39 — The risk: becoming a nation of AI users
31:35 — Local innovation: why Singapore can’t miss this wave
33:50 — The AI scholars idea: start at 18
36:25 — Advice for founders: build in Singapore?
37:25 — The future of startups: tiny teams, massive output
40:44 — AI + society: building a durable, post-AI economy
43:04 — Final thoughts: policy vs execution
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