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Azeem Azhar's Exponential View

What it will take for AI to scale (energy, compute, talent)

Azeem Azhar's Exponential View

EPIIPLUS 1 Ltd / Azeem Azhar

Openai, Intelligence, It, Society, Technology, Review, Ai, Investing, Science, Economy, Business, Artificial Intelligence, Automation, Robots, Exponential, Future, Tech News, Work, Government, Exponential View, Economics, News, Gpt, Azeem Azhar

51.1K Ratings

🗓️ 10 December 2025

⏱️ 24 minutes

🧾️ Download transcript

Summary

In this episode, I look at the next 24 months of AI. The technology is improving rapidly – so what could hold back widespread transformation of how we work and live? I dig into the real constraints, from electricity shortages to institutional inertia, why mid-2026 matters for enterprise AI, and why so many people remain uneasy about a technology they use every day.

Transcript

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0:00.0

What I'd like to do today is talk about what we need to look out for over the next 24 months

0:06.2

with the AI build-out, with all of the things that are going on in the deployment of AI,

0:12.3

how people are feeling about it, all of the tensions, all of the potential crises and the

0:18.2

potential wins. Now, two years is a particularly difficult time

0:24.4

to shoot for. So I am really hanging myself out because everyone can predict the next week

0:30.4

and you can kind of predict the next 20 years. But I'm going to be brave and talk about those

0:34.5

two years. Readers will know that I've talked a little bit about this in

0:38.5

the newsletter, so go back and look at those essays. In short, this is all about absorption. This is

0:45.1

all about the extent to which AI can be absorbed in the economy, in our world? Are companies absorbing artificial intelligence fast enough?

0:58.3

Can the electrical and power systems absorb all the new demand from the data centers? Is the

1:04.4

economy absorbing any benefits at all? And do people, do society, do us, do we want to absorb AI all the things it brings

1:15.2

with us at the speed with which it is emerging? So let's just step through each of those questions

1:23.1

of absorption. You know, on the firm, I've written a lot about this over the last few months,

1:29.6

weeks and months. Are companies really making use of this technology at all? And I think we can

1:34.8

even step back a layer and say, are people really using these technologies in any meaningful

1:41.8

sense? You know, we talk about 800 million people using chat

1:45.1

GPT. We talk about a couple of billion using these chatbots globally. But are we using

1:52.2

it the way that we've used other technologies when we talk about them being deployed, like the

1:57.3

flush toilet or electricity? Is it really use of one of these technologies if you just put

2:04.7

the odd query into it rather than Google, but your life remains largely the same? I mean,

2:10.0

it's almost trivially easy to put a product in the hands of tens of thousands, hundreds of

2:14.3

thousands, millions of people because of the app store, because of iPhones. And perhaps when we think about where we are in absorption, we need to go beyond

...

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