So over the last decade in Silicon Valley,

Chris Lihane has really bridged tech interests

with government policy.

He is the ultimate insider, having worked

as a political strategist in the Clinton White House,

then charting, or some might say battling regulation at Airbnb, then he worked in

crypto for Katie Hans firm.

He's now leading policy at Open AI at a time when the industry and the government are all

trying to get their arms around AI policy.

His op-ed today makes clear his and open AI's messaging to Washington.

He says that no matter who wins the election in less than two weeks, the US must be the leader in AI, and

the right way to that is laying the right infrastructure.

I sat down with him exclusively and he compared it to Roosevelt's New Deal in the 1930s, a large-scale transformative

project that has the ability to shape a nation's future.

What's the difference between AI policy in tech and everything that's preceded it.

It's a little bit like asking what is the difference before there was electricity and

then when there was electricity. And I say that look at everyone comes up with their own I think historical analogy for what

AI is but but I I personally think about it in terms of this errors or this generation's

you know version of electricity and I say that because electricity was ultimately

like an infrastructure. I know we're probably going to talk about

infrastructure behind AI, but there was an infrastructure

technology that really sort of transitioned,

...