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YouTube: youtu.be/WPwUvc29j2Q

At Analyse Podcast, our goal is simple: Bring clarity to the forces shaping the future of technology globally. This conversation with Karen is a must-listen for anyone trying to understand the real power dynamics beneath the surface of AI’s rapid advancement.

3️⃣ Fragmentation at the top doesn’t mean democratization: Yes, more labs exist today — but they remain concentrated among a small group of billionaires and nation-states. More competitors does not translate into more public control or transparency.

2️⃣ The global supply chain behind AI is invisible but immense: Data annotators, content moderators, data-center communities — the infrastructure behind AI spans continents, yet these stakeholders are rarely acknowledged in mainstream narratives about “progress.”

1️⃣ Knowledge monopolies are reshaping the scientific landscape: Most AI researchers — even in universities — are now funded by private labs. This creates a structural blind spot: policymakers and the public struggle to get truly independent assessments of AI’s capabilities and risks.

As Karen shows in Empire of AI, the industry is not simply a collection of innovative labs. It is an emerging geopolitical power bloc with growing influence over society, labour, and governance globally.

Here are three takeaways that stood out:

Watch it on spotify: open.spotify.com/episode/0Quo...

Watch the full conversation to understand how enterprise AI is actually being built across Asia Pacific — far beyond the hype.

3️⃣ Real use cases are accelerating across APAC.
Fraud detection in finance, precision agriculture using IoT+satellite imagery, healthcare documentation reduction, energy-grid optimization — these are not prototypes; many are already in pilot or production.

2️⃣ Enterprise AI needs multicloud, openness and interoperability — not lock-in.
Oracle’s ability to run consistently across hyperscalers, on-prem and hybrid environments is becoming a major differentiator for regulated industries.

Here are 3 key takeaways for the Analyse Asia community:

1️⃣ Oracle’s “Four-Tier AI Stack” is now the company’s strategic backbone.
Infrastructure → Data Platform → Applications → Agentic Orchestration. Few players are delivering all four layers end-to-end with this level of integration.

From infrastructure to data platforms to agent orchestration, Oracle is making bold moves to deliver AI everywhere — across industries as diverse as banking, utilities, healthcare, agriculture and construction.

Watch the full video: open.spotify.com/episode/2tOF...

3️⃣ Asia-Pacific is becoming a global blueprint for AI adoption. Governments in the region are pragmatic, solution-driven, and eager to experiment. This mindset is why APAC is quickly emerging as a proving ground for responsible, high-impact AI deployment.

Here are 3 key takeaways from the conversation:
1️⃣ Openness drives trust, inclusion, and faster innovation. Simon argues that open models enable thousands of developers — not just one company — to test, refine, and strengthen AI systems. This shared scrutiny accelerates progress across APAC.

In our latest episode, our founder Bernard Leong sat down with Simon Milner, VP of Public Policy for APAC at Meta, for a candid conversation on open-source AI. Simon breaks down why openness is not just a technical choice — it’s an economic and societal accelerator for the region.

You can also watch this episode on Spotify: open.spotify.com/episode/5w84...