Aneesh Raman

What does it look like if we build it out?

is it just a career book?

Is it something bigger?

And we had a couple of guiding principles.

One was that we wanted to help people.

And that was like a real important point, which is because at the time there were a lot of books coming out that were sort of thoughts for thinkers to think about when it came to AI, which was appropriate.

It was early and it was a lot of like leaders talking to leaders or academics talking to academics, just people trying to get their head around it at this really broad societal macroeconomic level.

And we just knew for every member because our vision at LinkedIn, which keeps us honest, is create economic opportunity for every member of the global workforce.

And so we just knew for every member that stuff was like unhelpful.

And so we wanted to make it

really specific.

And so there's a part of the book that helps you just get situated, that understands what's been and what's possible for us as humans at work.

But then we get super tactical about what you can do as you think about your job, what you can do as you think about your career for companies, for economies, and then ultimately for you as an individual.

So that was a helpful push for us along the way.

And then the other guiding principle we had is we're just like two dudes who've had kind of the careers we've had.

We're not representative of

And it's hard to make anyone representative given that, as we've talked about, everyone's going to have to be uniquely themselves.

But we knew one way to do that would be to have a really diverse selection of stories of workers from all backgrounds, from all stages of their career, from every angle.

coming at AI.

I mean, we got Jonetta Grisham, like this 50-year-old person who starts with a hell no to AI.