Original Release on November, 2nd 2023: Generative AI could transform the nature of work and boost productivity, but companies and governments will need to invest in reskilling.----- Transcript -----Stephen Byrd: Welcome to Thoughts in the Market. I'm Stephen Byrd, Morgan Stanley's Global Head of Sustainability Research. Seth Carpenter: And I'm Seth Carpenter, the Global Chief Economist. Stephen Byrd: And on the special episode of the podcast, we'll discuss how generative A.I. could reshape the US economy and the labor market. It's Thursday, November 2nd at 10 a.m. in New York. Stephen Byrd: If we think back to the early 90's, few could have predicted just how revolutionary the Internet would become. Creating entirely new professions and industries with a wide ranging impact on labor and global economies. And yet with generative A.I. here we are again on the cusp of a revolution. So, Seth, as our global chief economist, you've been assessing the overarching macro implications of the Gen A.I. phenomenon. And while it's still early days, I know you've been thinking about the range of impacts Gen A.I could have on the global economy. I wondered if you could walk us through the broad parameters of your thinking around macro impacts and maybe starting with the productivity and the labor market side of things? Seth Carpenter: Absolutely, Stephen. And I agree with you, the possibilities here are immense. The hardest part of all of this is trying to gauge just how big the effects might be, when they might happen and how soon anyone is going to be able to pick up on the true changes and things. But let's talk a little bit about those two components, productivity and the labor market. They are very closely connected to each other. So one of the key things about generative A.I is it could make lots of types of processes, lots of types of jobs, things that are very knowledge base intensive. You could do the same amount of work with fewer people or, and I think this is an important thing to keep in mind, you could do lots more work with the same number of people. And I think that distinction is really critical, lots of people and I'm sure you've heard this before, lots of people have a fear that generative A.I is going to come in and destroy lots of jobs and so we'll just have lots of people who are out of work. And I guess I'm at the margin a lot more optimistic than that. I really do think what we're going to end up seeing is more output with the same amount of workers, and indeed, as you alluded to before, more types of jobs than we've seen before. That doesn't exactly answer your question so let's jump into those broad parameters. If productivity goes up, what that means is we should see faster growth in the economy than we're used to seeing and I think that means things like GDP should be growing faster and that should have implications for equities. In addition, because more can get done with the same inputs, we should see some of the inflationary pressures that we're seeing now dissipate even more quickly. And what does that mean? Well, that means that at least in the short run, the central bank, the Fed in the U.S., can allow the economy to run a little bit hotter than you would have thought otherwise, because the inflationary pressures aren't there after all. Those are the two for me, the key things one, faster growth in the economy with the same amount of inputs and some lower inflationary pressures, which makes the central bank's job a little bit easier. Stephen Byrd: And Seth, as you think about specific sectors and regions of the global economy that might be most impacted by the adoption of Gen A.I., does anything stand out to you? Seth Carpenter: I mean, I really do think if we're focusing just on generative A.I, it really comes down, I think a lot to what can generative A.I do better. It's a lot of these large language models, a lot of that sort of knowledge based side of things. So the services sector of the economy seems m