Google’s Massive Compute Push Explained
In Machines we Trust
In Machines we Trust
4.3 • 6 Ratings
🗓️ 24 November 2025
⏱️ 13 minutes
🧾️ Download transcript
Summary
With $93B allocated for AI infrastructure, Google is making a major strategic move. We explore the scale, purpose, and potential outcomes. Listeners will understand how this could influence AI globally.
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Transcript
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| 0:47.7 | Google in a recent all-hands meeting said that they have to double their AI compute every six months in order to meet demand. |
| 0:55.5 | There is an absolutely massive, insatiable demand for Google's AI features, and we just had Gemini 3.0 come out. So we saw a big spike in that. They just came out with their latest version of Nanobanana Pro. |
| 1:00.6 | So we saw a huge spike in, you know, AI image generation demand. There's so much more coming |
| 1:06.2 | out of Google. We're going to break it all down on the show today, where we see them today and |
| 1:10.4 | where I see them |
| 1:11.2 | in the future and some of their predictions that they're making over the next four to five years. |
| 1:16.2 | It is absolutely incredible. |
| 1:18.6 | Let's get into all of it. |
| 1:19.7 | Before we do, I wanted to mention if you want to try any of the AI models that I talk about |
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