Based on my fieldwork from recent AI Summits, including Seoul, Korea.
This podcast was generated to translate those insights into a more conversational format.
The intent is to surface systems logic without policy jargon.
Most AI conversations still focus on models, tools, and productivity.
But the real shift happening globally is structural: where AI lives, and what it amplifies.
This short audio reframes the AI debate through a simple question: does your AI write emails or does it move machines?
What this conversation covers
In this episode, we explore a growing divide between Service AI and Industrial AI and why that difference is important.
Service AI is intelligence applied to cognitive and linguistic tasks such as writing, analysis and office workflows. It disrupts labour because it automates the same knowledge tasks that service economies depend on. This is the orientation of the West.
Industrial AI is intelligence embedded in physical systems such as factories, logistics networks, robotics, vehicles, sensors and infrastructure. It increases throughput, precision and real-world capacity. This is the orientation of the East.
One disrupts labour.
The other amplifies national capacity.
Why this matters now
This divide is no longer abstract.
Industrial AI aligns naturally with intelligentized warfare, where advantage comes from:
autonomous systems
resilient logistics
machine-speed coordination
AI embedded directly into fleets, depots, sensors, and supply chains
In contrast, many Western economies deploy AI mainly in headquarters, dashboards, and office workflows powerful, but structurally limited.
The key reframe
This is not a race for the smartest model.
It’s an integration race:
who can embed intelligence into steel, fuel, inventory, and infrastructure
who can sustain that integration at scale, under pressure
The winners won’t be defined by demos.
They’ll be defined by industrial alignment.
