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Azeem Azhar's Exponential View

AI in 2025 – The great normalisation, with Nathan Benaich

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

5 β€’ 1.1K Ratings

πŸ—“οΈ 26 December 2024

⏱️ 46 minutes

🧾️ Download transcript

Summary

Nathan Benaich, Founder and General Partner of Air Street Capital, joins me to discuss AI in 2025. From runaway consumer adoption to evolving enterprise moats, from still-elusive AI-driven drug breakthroughs to the renewed vigour in robotics, several core themes stood out.

Transcript

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0:00.0

Hi, happy holidays. While I'm away this holiday season, I wanted to drop here a few of my conversations

0:05.9

with leading experts in AI. I discussed how AI might surprise us in 2025 with Ethan Mollick, Dylan Patel,

0:13.7

Nathan Ben H, and Kai Fu Lee. The conversations were initially released for members of Exponential View.

0:19.7

Here's my discussion with Nathan Benach.

0:21.7

Enjoy.

0:22.5

Today, I'm super excited to have Nathan Benach, who is the founding general partner of

0:28.0

Air Street Capital.

0:29.3

He is a man who is committed to backing AI entrepreneurs for, I would say, coming up to close

0:35.4

to a decade now and very, very well known for his annual report,

0:39.8

the state of AI. And Nathan, it's great to see you. You're in a wonderful, glamorous location

0:44.7

today as well. Yeah. Thanks for having me. It's going to be a fun discussion. I mean, so much of what

0:49.2

we've written in the report is probably due for update already. Yes, well, I'm giving a speech

0:53.9

tomorrow and I'm thinking,

0:56.0

how much do I have to update because of Google's last announcement, which happened 24 hours

1:01.6

ago? Yeah, hopefully you're not making any like fancy graphs that you have to go back in there and

1:06.0

like update everything with painful format. Yeah, we've done a little bit of that. Now, I always grade my predictions.

1:13.1

I do a horizon scan at the end of every year,

1:15.3

and I know that you and your colleagues with the state of AI report also grade your prediction.

1:22.0

And you know what?

1:22.6

We both graded ourselves pretty well.

1:25.3

So almost too well.

1:31.0

So are we being too unambitious with our predictions of the state of the AI world? Or is it just more predictable than we let we let on?

...

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