
Published on LinkedIn and amitabhapte.com on23rd Nov, 2025
This week in AI – Gemini 3 and the new infrastructure race
This was the week Google forced the AI narrative to tilt again. Not through hype, but through the release of Gemini 3, a model that signals a deeper shift in where the frontier now sits. For the first time in a while, the conversation wasn’t about clever demos or novelty features. It was about capability that feels embedded, a model designed to sit inside Google’s full ecosystem of search, cloud, devices, and productivity tools.
Gemini 3 lands as an integrated intelligence layer, not a standalone chatbot. And that matters. In AI, distribution consistently beats brilliance. Google’s advantage is not just the model. It’s the hundreds of millions of moments, queries, clicks, sessions, and decisions where that model can quietly shape outcomes.
But the more revealing signal came from inside Google itself: the acknowledgement that its AI-serving infrastructure must double every six months just to stand still. That single line says more about the state of the AI race than any model release could. We are no longer in a software cycle. We are in an industrial one, where progress depends on data centres, silicon supply, energy availability, physical footprint, and geopolitical access.
You could see that geopolitical undercurrent everywhere this week.
The UAE’s decision to invest $1 billion into African AI infrastructure is not a regional experiment, it is a strategic expansion of influence through compute. Data centres are becoming diplomatic instruments. Sovereign infrastructure is becoming soft power.
Markets echoed this momentum. Nvidia delivered another strong quarter, easing concerns of an AI slowdown while intensifying questions about global dependence on a single hardware backbone. When one company becomes the proxy for the world’s AI appetite, you realise this is no longer an industry story, it’s an economic architecture story.
My takeaway from the weekend
Put these threads together and the picture becomes clear. AI has split into two races:
• A capability race, where models like Gemini 3 reset expectations.
• A capacity race, where the world scrambles to build the physical, political, and economic foundations required to run those models at scale.
“The leaders who stay ahead will be the ones who understand that competitive advantage is shifting from “Who has the smartest model?” to “Who can deploy intelligence reliably, responsibly, and at scale?”
Beyond AI: my mindshare – when a Yogi meets an AI pioneer
I came across a fascinating conversation from two iconic leaders; Spiritual leader and a great Yogi, Sri Sri Ravi Shankar and a leading AI thought leader, Andrew Ng.
One speaks about clarity of mind, the other about clarity of capability. Yet point to the same truth. AI will only move as fast as humans are ready to trust it, understand it, and work with it.
“Sri Sri emphasises inner steadiness. Andrew emphasises skill and confidence. Together, they outline the real leadership agenda: prepare the people as much as the model. Because in the AI age, intelligence is abundant. Readiness is not.”

