PodParley Podparley
PodParley Podparley

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

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.

Listen to this episode

0:00 / 0:00

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.

First published

12/10/2025

Genres

technology business investing news

Duration

24 minutes

Parent Podcast

Azeem Azhar's Exponential View

View Podcast

Share this episode

Similar Episodes

No similar episodes found

Similar Podcasts

No similar podcasts found

Episode Description

<p>Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/ </p><p>--- </p><p>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. </p><p><strong>I cover: </strong></p><p>(00:03) Predicting AI's next two years </p><p>(01:50) How life changing are chatbots, really? </p><p>(03:36) Our current biggest AI constraint </p><p>(07:58) The remarkable increase in token efficiency </p><p>(10:43) Why mid-2026 is a crucial turning point </p><p>(13:01) Do we actually want AI in our lives? </p><p>(15:28) Should organizations wait to jump in? </p><p>(16:39) How is OpenAI reckoning with Gemini? </p><p>(18:41) The market's reaction to OpenAI's code red </p><p>(19:32) Where will value accrue in the supply chain? </p><p>(20:51) What's the best strategy for middling powers?</p><p><strong>Where to find me</strong>: </p><p>Exponential View newsletter: https://www.exponentialview.co/ </p><p>Website: https://www.azeemazhar.com/ </p><p>LinkedIn: https://www.linkedin.com/in/azhar/</p><p>Twitter/X: https://x.com/azeem </p><p>Production by supermix.io and EPIIPLUS1 </p><p>Production and research: Chantal Smith and Marija Gavrilov.</p><br/> <p>Hosted by Simplecast, an AdsWizz company. See <a href="https://pcm.adswizz.com">pcm.adswizz.com</a> for information about our collection and use of personal data for advertising.</p>

just now