meta_pixel
Tapesearch Logo
Log in
a16z crypto show

Why AI is so centralized: How it's built, who controls it, and what comes next

a16z crypto show

Andreessen Horowitz

Distributed Computing, Blockchain, Art, Innovation, Web 3, Technology, Culture, Internet, Public Goods, Business, Decentralization, Open Source, Creator Economy, Music, Gaming, Cypherpunk, Visual Arts, Crypto, Arts, Web 3.0, Entertainment, Computing, Computer Science, Blockchains, Entrepreneurship, Ownership, Web3, Cryptography

4.466 Ratings

🗓️ 22 April 2026

⏱️ 17 minutes

🧾️ Download transcript

Summary

Gensyn cofounders Ben Fielding and Harry Grieve join us to discuss why AI’s infrastructure problem runs deeper than most people think. They explain how today’s AI ecosystem depends on a highly centralized stack of data and compute, why that matters, and what it would take to rebuild AI as open, decentralized infrastructure. Along the way, they cover how AI models are trained, why crypto may be essential to the future of AI coordination, and the rise of autonomous AI agents with onchain identities.

Transcript

Click on a timestamp to play from that location

0:00.0

We reach a point where the machines are autonomous,

0:02.7

to able to make their own decisions,

0:04.0

they have their own on-chain identities,

0:05.6

they have the ability to update their own objective functions

0:07.9

and reward models, which in combination with

0:09.9

crypto-economic property rights basically makes them sovereign economic actors.

0:13.2

All this will be coming in the next 12 months.

0:15.1

That's pretty soon.

0:15.8

For sure.

0:16.3

At that point, you have this completely Darwinian market

0:19.3

for intelligence, and we don't know what

0:21.4

happens next.

0:26.4

Ben, Harry, thank you so much for coming on. Let's start here. What is the biggest misunderstanding

0:30.6

that people might have about the problem you're trying to solve? I think probably how deep the problem itself actually is. I think people

0:40.7

think a lot about the AI space right now and they think about this sort of like product level,

0:45.0

like the systems they're interacting with like chat GPT and things like that, but they don't

0:48.2

realize how much is actually behind those systems necessarily. And I think the wider world, how much

0:53.9

centralization is actually behind those systems. Those And I think the wider world, how much centralization is actually

0:55.4

behind those systems. Those systems rely on very small number of companies to run them. To the average

1:00.4

user, you sort of know that you're interacting with Open AI, but you don't actually realize

1:04.0

how much is going through their servers and their systems. Behind the scenes, there's enormous

1:08.2

kind of layers of technology. And actually, that isn't necessarily the best way to build things, as maybe listeners of

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from Andreessen Horowitz, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of Andreessen Horowitz and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2026.