AI doesn't take your job. AI makes you the CEO. The problem is AI is a shortcut. And a shortcut is good, except when it's bad. If you don't know how to go the long way around, then you can't debug the AI. Do we not think that AI is just going to be also better at taste and agency? I don't think that's true on a short term basis. Humans are the sensor, EASC actuator. So it's like a human machine synthesis. What's taste? Taste the sense? And that is what

AI can't yet do. What happens when AI really achieves its potential? Will LLMs get us to

aGI in some capacity? No. No, actually. On the opposite. Every tool that makes creation cheaper,

makes verification more expensive. The printing press made publishing easy and forgery easier.

Photography made documentation instant and manipulation inevitable.

In 1839, the first year a camera could capture a human face,

people trusted photographs absolutely.

Within a decade, courts were already debating fake evidence.

The cheaper the creation, the harder the proof.

AI has compressed this cycle into months. A resume that once took hours to fake, now takes seconds.

A slide deck that signaled competence now signals nothing.

The generation cost has collapsed, but someone still has to confirm what's real,

and that cost is rising fast.

The result is a world that fragments into trusted groups, where AI supercharges productivity on the inside

and raises walls on the outside.

I speak with Balaji Srinivasan, angel investor and entrepreneur.

I want to start by talking about the AI economy, and I'm curious if you think it will look

more like the internet economy where applications take most of the value or the cloud

where there's kind of infrastructure takes most of the value or it's more distributed.

There's an argument that the big labs will take it all because they have all the capital,

they have the compute, they've vertically integrated, but there's also an argument that,

hey, maybe they won't because distillation is 98% cheaper than it is to build a model.

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