Deric Cheng

For instance,

Like being a peer party planner does not pay very well.

I actually worked in events and I ran a festival for six years and I can speak very deeply to how the better the event you run, the less financially profitable it is.

And similarly with artists, musicians, writers, painters, people who are really pursuing the paths that I think bring them a lot of meaning and that they have found to be

create direction in their lives, oftentimes make significant sacrifices when it comes to finances because the economic incentives are not there.

And it's not necessarily clear that AI itself will change those economic incentives.

I don't think we'll have 10x or 100x demand for music.

I think we're all listening to music approximately as much as we would like to listen to music at this time, right?

And so it gets...

Complicated and hard to imagine exactly how all of these desirable jobs will be created from this AI boom unless we restructure how we think about society and how we think about government policies to protect human labor.

Of course.

I think that as long as corporations are run by people, that there will be people at the top, and that for those people at the top to function very well, they will have to have support to understand or to engage deeply with powerful AI agents, even in these superstar firms in which AI agents are performing a majority of the tasks in these

futuristic societies.

For example, in order to build a good software product, you still have to have a very deep understanding of the architecture of the software product, of when it breaks down, what needs to be done.

You have to be able to integrate feedback from human consumers, customers.

and turn that into a product that is well-structured, that can respond appropriately to their needs, and then to communicate all of that up to the CEO who is trying to build a good product and thinking about the high-level strategy.

And so in those ways, even if

You can see a lot of the grunt work automated for software development with tests or even with writing code.

It's still very clear that there is a role for humans as long as corporations are human driven in order to engage with external parties, engage with customers, engage with people up the stack, and to basically provide kind of a conduit between very, very smart AI systems and the people who work within the company.

Yeah, I think maybe I see two categories of very resistant jobs to TAI related to interpersonal specialists.