Balaji Srinivasan
π€ SpeakerAppearances Over Time
Podcast Appearances
So what happens is people, digital tribes, they retreat to deterministic trust and it's only the warm intro that gets through, okay?
So the sales market's being broken by AI.
like people will sometimes show me these products and they're like, I've got this AI agent and it just spams your resume to like a thousand companies.
I'm like, great.
It's going to just like leech out what trust remains in the ecosystem where everybody claims they're a machine learning superstar, blah, blah.
And normally pre-AI, you could just read a resume and it's scarce to be able to write well.
And now you have to carefully, I mean, the people do keyword stuffing, it's true, but still like good writing was relatively scarce.
Now,
where it's much less scarce, but scarce is concise writing, fine, okay?
But we need a completely different paradigm for sales, for marketing.
I have a whole thesis on this.
I think that we're going to have to literally rebuild, like Web3 actually becomes a thing where the open web, Web1, just gets completely corrupted and Web2 becomes walled gardens.
But Web3 is the hardened, cryptographically provable signed web, the open web, where things are on-
and you can actually, it's like a diamond, it's hard.
AI is like a, you know, it's like a slithering thing around this diamond of cryptography that it can't fake, right?
So you can show that so-and-so signed this and AI can, you know, like for example, a letter of reference can be cryptographically signed and you can show that so-and-so endorsed you as opposed to saying that it happened, right?
That's a longer topic and actually we're building stuff related to that in every school, which I can talk about.
But the point is the entire concept of...
that's going to solve everything.
Actually, you know, for example, if you take just that sales or marketing or recruiting market, the level of economic damage that AI did there is actually better than the benefit because it introduced easy fakes into a system that was not calibrated for that amount of easy fakery.