Jun 8, 2026 · 36 min · 9 segments
In Part 2 of this double episode with Deloitte, we continue the conversation with Dimitri Tsopanakos and discuss the next phase of AI technology and what it means for firms. Understand what is meant…
No entities detected.
Dimitri TsopanakosGuestJames KingHostUh, maybe a good place to start is to, you know, uh, I hope you brought your crystal ball with you today.
in the AI technology space? What can we expect to see, and what will it mean for firms in the investment management industry?
Um, I was reading a book recently, uh, about the future of AI, and, um, the author said something that I, I, I always like to use, and, and by all means, it's not my quote, is, you know, he was explaining what the future of AI may look like in his eyes, but he was also appreciating the fact that he's printing a book at a specific date.
So he, he closed the book by saying, "What you learn on Friday may change on Monday." That's how rapid and how quick and how much AI is evolving and kind of fast- in a fast-paced economy and a fast-paced market.
I think if you ask me the question next year, I'm pretty sure I will have some additional themes to, to discuss.
Again, focusing solely on our market, I think there's four major levers that are coming.
Um, I don't call them themes because I think it's, the AI theme has a lot of levers or enablers, um, which I think impact our business.
The first one is what we call, uh, agentic AI, and agentic AI, someone will say, "But hold on a minute, this is already kind of live in the market.
Again, I'm sure your members and, and the people who are listening to this podcast are market experts.
They know probably a lot about AI already, but I'm inclined to provide, you know, some, some definitions.
An autonomous agent is an agent that can initiate and complete complex tasks on their own.
Just to give you an example, there's a hedge fund at the moment operating in the market, um, which has thousands of autonomous AI agents that are trading on behalf of the company, and they are doing their own research.
They are interacting obviously for their own portfolio at the moment because the regulator is not allowing them to, to, to, um, trade on behalf of others, but they do that fully autonomously, and we're talking about thousands of agents.
Uh, maybe a good place to start is to, you know, uh, I hope you brought your crystal ball with you today.
in the AI technology space? What can we expect to see, and what will it mean for firms in the investment management industry?
Um, I was reading a book recently, uh, about the future of AI, and, um, the author said something that I, I, I always like to use, and, and by all means, it's not my quote, is, you know, he was explaining what the future of AI may look like in his eyes, but he was also appreciating the fact that he's printing a book at a specific date.
So he, he closed the book by saying, "What you learn on Friday may change on Monday." That's how rapid and how quick and how much AI is evolving and kind of fast- in a fast-paced economy and a fast-paced market.
I think if you ask me the question next year, I'm pretty sure I will have some additional themes to, to discuss.
Again, focusing solely on our market, I think there's four major levers that are coming.
Um, I don't call them themes because I think it's, the AI theme has a lot of levers or enablers, um, which I think impact our business.
The first one is what we call, uh, agentic AI, and agentic AI, someone will say, "But hold on a minute, this is already kind of live in the market.
Again, I'm sure your members and, and the people who are listening to this podcast are market experts.
They know probably a lot about AI already, but I'm inclined to provide, you know, some, some definitions.
An autonomous agent is an agent that can initiate and complete complex tasks on their own.
Just to give you an example, there's a hedge fund at the moment operating in the market, um, which has thousands of autonomous AI agents that are trading on behalf of the company, and they are doing their own research.
They are interacting obviously for their own portfolio at the moment because the regulator is not allowing them to, to, to, um, trade on behalf of others, but they do that fully autonomously, and we're talking about thousands of agents.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.