If we close our eyes and think really, really hard about the most useful application of AI

within the crypto context, then I'd bet good money that you would say one of two things.

A clawed mythos-type model that roams around fixing security holes and plugging attack vectors

across all major chains, protocols and DFI smart contracts would be cool, I guess.

Or perhaps some kind of autonomous AI agent that can go out into chain space and make you money

without all the soul-crushing mental load that comes with trying to squeeze out every ounce

of potential profit at all times with our squishy human brains.

But for that to be possible, first we need AI models that can actually trade crypto effectively.

So can the models that we do have right now actually buy low and sell high?

Well, it depends. I'm your

host David Canellis and this is the breakdown. Let's get to it.

This episode is brought to you by Nexto. Step into a new era of digital wealth. Earned interest

on your digital assets, borrow against them without selling and trade all in one platform. Get started at nexo.com slash breakdown. Nothing said on the breakdown is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only and any views expressed by anyone in the show are opinions, not financial advice. Host and guests may hold positions in the company's funds or projects discussed. First off, it's worth making it clear that AI trading is not some totally unprecedented

thing.

Markets have been automating decision-making in judgment for decades.

That began with the execution layer being automated at scale in the early 1990s.

Before that, many trades were typically handled via open outcry floor trading.

That's the classic image of stockbrokers yelling orders across the New York Stock Exchange

trading floor and over telephones to brokers.

Okay, one moment, Cable Dresner, Frankfurt.

Yeah, I'm going to see you.

I'm probably not so tall there.

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