Episode Details

In the first of a special series, Morgan Stanley’s U.S. Thematic and Equity Strategist Michelle Weaver discusses new frontiers in artificial intelligence with Keith Weiss, Head of U.S. Software Research.

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Michelle: Welcome to Thoughts on the Market I'm Michelle Weaver, Morgan Stanley's U.S. Thematic and Equity Strategist.

Keith: And I'm Keith Weiss, Head of U.S. Software Research.

Michelle: This episode is the first episode of a special series we’re calling “Big Debates” – where we dig deeper into some of the many hot topics of conversation going on right now. Ideas that will shape global markets in 2025. First up in the series: Artificial Intelligence.

It's Friday, January 10th at 10am in New York.

When we look back at 2024, there were three major themes that Morgan Stanley Research followed. And AI and tech diffusion were among them. Throughout last year the market was largely focused on AI enablers – we’re talking semiconductors, data centers, and power companies. The companies that are really building out the infrastructure of AI.

Now though, as we’re looking ahead, that story is starting to change.

Keith, you cover enterprise software. Within your space, how will the AI story morph in 2025?

Keith: I do think 2025 is going to be an exciting year for software [be]cause a lot of these fundamental capabilities that have come out from the training of these models, of putting a lot of compute into the Large Language Models, those capabilities are now being built into software functionality. And that software functionality has been in the market long enough that investors can expect to see more of it come into results. That the product is there for people to actually buy on a go forward basis.

One of the avenues of that product that we're most excited about heading into 2025 is what we're calling agentic computing, where we're moving beyond chatbots to a more automated proactive type of interface into that software functionality that can handle more complex problems, handle it more accurately and really make use of that generative AI capability in a corporate or in an enterprise software setting as we head into 2025.

Michelle: Could you give us an example of what agentic AI is and how might an end user interact with it?

Keith: Sure. So, you and I have been interacting with chatbots a lot to gain access to this generative AI functionality. And if you think about the way you interact with that chatbot, right, you have a prompt, you have a question. You have to come up with the question. going to take that question and it's going to, try to contextually understand the nature of that question, and to the best of its ability it's going to give you back an answer.

In agentic computing, what you're looking for is to add more agency into that chatbot; meaning that it can reason more over the overall question. It's not just one model that it's going to be using to compose the answer. And it's not just the composition of an answer where the functionality of that chatbot is going to end. There's actually an ability to execute what that answer is. So, it can handle more complex problems.

And it could actually automate the execution of the answer to those problems.

Michelle: It sounds like this tech is going to have a massive impact on the workplace. Have you estimated what this could do to productivity?

Keith: Yeah, this is -- really aligns to the work that we did actually back in 2023, where we did our AI index, right. We came up with the conclusion that given the current capabilities of Large Language Models, 25 per cent of U.S. occupations are going to be impacted by these technologies. As the capabilities evolve, we think that could go as high as 45 per cent of U