Deric Cheng

And that is really important for us to be prepared for us to push that movement in the direction that most benefits society.

Yeah, that's the hope.

And we're doing the best we can to try to model different scenarios that might help move people towards understanding that this is a possibility.

Yeah, it's pretty fascinating because on one hand, you have the media talking about this sort of idea nonstop.

It's a great media story and engaging with it.

On the other hand, there's very, very few people working concretely on trying to respond to this space.

I think it's probably on the order of hundreds of people compared to, of course, almost millions at this point working on AI capabilities.

And I think part of the reason is that there is a big gap between where AI futurists, the people working in Silicon Valley are right now, and where the establishment thinkers are.

I think that on the AI futurist side, that they are very convinced that AI capabilities will take off very rapidly.

But there isn't a lot of, say, economics knowledge, of policy knowledge, of background into these types of

like the inner workings of how societal change happens.

And then on the establishment side, you have deep credibility in economics, public policy, and organizing change, but they haven't necessarily bought fully into the idea that capabilities could take off at this rate.

And so these groups, I think, are almost a little bit talking past each other.

On one end, you're talking about

10% or 15% GDP growth year over year.

And on the other end, a lot of traditional economists are more on the bucket of, oh, this might increase growth by 0.1% or 0.2%.

And so I think our goal in many ways is really to just try to take these two camps and show the ways in which they both have visibility into key parts of what is happening together and to allow for the conclusions to trickle in together, right?

I think

When you ask economists to hypothetically take, for example, what if AI capabilities could lead to a total automation of certain types of cognitive jobs, their conclusions are very different.

And creating almost a space by which they can engage with their peers, collaborate, and think about these things is probably the next step just to start moving us in the right direction.