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Azeem Azhar's Exponential View

How to think well with AI: signals, quietness, and the argument engine

Azeem Azhar's Exponential View

EPIIPLUS 1 Ltd / Azeem Azhar

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

5.01.1K Ratings

🗓️ 13 March 2026

⏱️ 33 minutes

🧾️ Download transcript

Summary

AI has become so embedded in how I work that I can no longer cleanly separate it from my thinking. That raises a question I find genuinely unsettling: is intensive AI use making me a sharper thinker, or quietly doing the opposite? In this episode I pull back the curtain on my full research and writing process — the custom tools, the friction points, and the places where I'm still not sure I've got it right. For Ezra Klein, having AI summarize material is a disaster for original thought. But my AI systems are designed to protect the cognitive work that has to stay human, while they handle everything else. Knowing where to draw that line turns out to be the hardest and most important question.

Transcript

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0:00.0

AI is not telling me what to think about.

0:02.7

Mostly, it's telling me what I don't need to think about.

0:05.6

Cognitive surrender is an uncritical abdication of reasoning itself.

0:10.0

It reflects not merely the strategic delegation of deliberation,

0:13.8

but a relinquishing of cognitive control.

0:17.2

There is something about AI, about its allure, about its potency that could make

0:22.1

cognitive surrender more and more widespread. The way in which I think has changed much more

0:27.1

than I expect it. And I'm still figuring out what it means. The argument engine is built from

0:31.9

about 100,000 words of my writing. House views runs an argument against our established positions,

0:38.7

stylometer, and of course,

0:44.6

we still have the golden thread check. Great thinking traditionally happens with care and self-reflection,

0:50.2

and in a world where there are all these tools around me. Am I still doing that quality of thinking? Am I doing the quality of thinking that I could do with 10 uninterrupted days?

1:01.9

What I want to do today is talk about something that I've been circling around for a few weeks,

1:07.8

perhaps even months, which is about the way in which our thinking processes

1:12.4

change during this period where we're using AI. Is our thinking getting better? Is it getting

1:19.0

worse? This matters more than it ever does before. I mean, AI is inside all of the processes

1:23.9

that I use. It's not a tool that I pick up and down. It's a tool that's there the

1:28.3

whole time. It's become completely ambient. You've seen us and heard us talk about this. We've

1:34.1

struggled with this issue. We've tried to expose it to our readers and our listeners. What is AI

1:39.8

doing to that process of thinking? How can you use it well? Where does it harm rather than help?

1:46.1

Just a couple of weeks ago, we had the first of our AI Vistas conversations where we sat down

1:52.0

and discussed this question, do we use our tools or do they use us? And I think that really gets

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