AI Exchanges: CIO Marco Argenti on the future of AI in the workplace

Welcome to Goldman Sachs Exchanges. I'm Alison Nathan, and I'm here with George Lee, who is the co head of the Goldman Sachs Global Institute. Together, we're co hosting a series of episodes exploring the rise of AI and everything it could mean for companies, investors, and economies. George, good to see you again.

Great to see you. Really enjoyed our first discussion and super excited about this one today.

So today, we are going to discuss how AI can fit into enterprises. We We're always talking about the use case. And perhaps we should say it's a big question about how enterprises can fit themselves around this evolving and exciting technology. So set the stage for us. When you think about what companies are doing today with AI, how would you explain the usage, and how has that evolved over the last year or two?

Yeah. Great question. Well, look, I think we're in the early days, and that's consistent with the state of development of the technology itself, which is quite novel as you and I have discussed before. That having been said, there is definitely a value gap opening up between the trajectory of the technology and the amount of enterprise adoption of that technology. And I think there are really three reasons for that. First is, always was it thus? And then by that, I'm for that. First is always was it thus? And then by that, I mean that the diffusion of new technology in businesses is always a l

So let's bring Marco Argente into this conversation. Marco is our chief information officer here at Goldman Sachs. Thanks so much, Marco, for joining us. I'm

happy to be here, and this is definitely an exciting topic for us to discuss. Great. Welcome.

Thank you.

Marco, given the context that George just gave and the many developments in Gen AI over the last even weeks, certainly months, has your thinking about AI changed at all in this time period? I

think the world of AI has changed like three or four times over even in the last, year or so. And and I think what's interesting is that every time, we seem to have reached some form of a plateau, here comes sort of a bolt from the skies that, you know, just kind of makes us rethink any illusion of the technology having reached any sort of scaling limit. So if you look at even, like, the last two months, there has been some of the most fascinating evolution with regards to specifically thinking models and models that have the ability to reason. And if you look at those are not incremental chan