Dr. Richard Peterson
- AI is reshaping advisor workflows, freeing up time for deeper client engagement and relationship-building.
- Narrative intelligence is becoming a key differentiator, helping advisors decode market sentiment and guide clients through emotional decision-making.
- Trust in AI tools hinges on transparency and layered validation, with firms needing to adopt best practices to ensure reliable, relevant insights.
The wealth management industry is undergoing a seismic shift, driven by the rise of artificial intelligence and the growing complexity of investor behaviour. As part of our Wealth Insider Insights series, we spoke with Richard Peterson, CEO of MarketPsych Data, to explore how AI is transforming advisor workflows, the importance of narrative intelligence, and how firms can build trust in emerging technologies.
Watch the full interview with Richard Peterson.
Q. How is tech transforming wealth management, and what are the most exciting innovations?
As we go into the future, AI is going to play a very meaningful role in the relationship between advisors and their clients. It’s going to take on a lot of the busy work—tax planning, legal issues, portfolio management—which gives advisors more time to interact with clients and build relationships. We’ve seen this since the financial crisis: advisors who spend more time on relationships tend to gather more assets and have deeper, more satisfying engagements. The more advisors use AI, the more time they’ll have to understand their clients—their motivations, values, interests—and work with them to achieve a more fulfilling life.
Q. What’s the impact of AI on the industry, investors and the value of financial advisors?
There are several AI tools now that help advisors and portfolio managers understand what’s happening in financial markets—what topics are being discussed and what the sentiment is around those topics. AI helps us see whether a narrative is positive or negative for the markets, and that’s important because it’s not always black and white. Narratives evolve and markets respond to them.
I think the future of sentiment analysis and natural language processing in markets is about helping advisors understand the narrative and communicate it to clients. That turns out to be important. Once clients know the narrative and understand it from a scientific foundation, they’re less likely to become reactive. The biggest danger to most clients is selling in a panic or buying into hype—like humanoid robots—without a grounded perspective. Advisors often spend a lot of time pulling clients back from the edge, and AI can help them explain why a narrative is exciting or scary, and how sentiment can shift. That helps clients stay grounded.
Q. How can wealth firms ensure tech and AI tools provide optimal information to support workflows and investment decisions?
There are several practical steps firms can take. One is to make sure AI tools link back to the source—news articles, transcripts, brokerage research—so users can verify the response. Another is prompt engineering: being very clear and concise helps reduce irrelevant or outdated information. For example, you don’t want AI pulling in content from the global financial crisis when it’s not relevant. There are numerous examples where having a tight, concisely written prompt can improve the output that the advisors and other users see from the AI agent.
There’s also retrieval-augmented generation, where one AI tags a document with topics and entities, and another generates a response based on that. A third AI can then review the output to make sure everything lines up. That kind of multi-layered validation helps reduce hallucinations. Firms can also use impact analysis—another AI agent that evaluates whether a response is actually useful or relevant to the advisor’s business. Having multiple AI systems review each other’s work makes the output more trustworthy.
AI is giving advisors the gift of time—time to connect, understand, and guide clients through complexity. But trust in these tools depends on transparency and scientific grounding. That’s where the real transformation begins.
Richard Peterson
Building trust through narrative intelligence
As Richard highlights, the future of wealth management lies in combining technological efficiency with emotional intelligence. AI can streamline workflows, but its true value emerges when it helps advisors decode market sentiment and guide clients through uncertainty. Firms that embrace narrative intelligence and invest in trustworthy AI practices will be best positioned to deliver consistent, confident, and client-centric experiences.
Read more about
Legal Disclaimer
Republication or redistribution of LSE Group content is prohibited without our prior written consent.
The content of this publication is for informational purposes only and has no legal effect, does not form part of any contract, does not, and does not seek to constitute advice of any nature and no reliance should be placed upon statements contained herein. Whilst reasonable efforts have been taken to ensure that the contents of this publication are accurate and reliable, LSE Group does not guarantee that this document is free from errors or omissions; therefore, you may not rely upon the content of this document under any circumstances and you should seek your own independent legal, investment, tax and other advice. Neither We nor our affiliates shall be liable for any errors, inaccuracies or delays in the publication or any other content, or for any actions taken by you in reliance thereon.
Copyright © 2025 London Stock Exchange Group. All rights reserved.
The content of this publication is provided by London Stock Exchange Group plc, its applicable group undertakings and/or its affiliates or licensors (the “LSE Group” or “We”) exclusively.
Neither We nor our affiliates guarantee the accuracy of or endorse the views or opinions given by any third party content provider, advertiser, sponsor or other user. We may link to, reference, or promote websites, applications and/or services from third parties. You agree that We are not responsible for, and do not control such non-LSE Group websites, applications or services.
The content of this publication is for informational purposes only. All information and data contained in this publication is obtained by LSE Group from sources believed by it to be accurate and reliable. Because of the possibility of human and mechanical error as well as other factors, however, such information and data are provided "as is" without warranty of any kind. You understand and agree that this publication does not, and does not seek to, constitute advice of any nature. You may not rely upon the content of this document under any circumstances and should seek your own independent legal, tax or investment advice or opinion regarding the suitability, value or profitability of any particular security, portfolio or investment strategy. Neither We nor our affiliates shall be liable for any errors, inaccuracies or delays in the publication or any other content, or for any actions taken by you in reliance thereon. You expressly agree that your use of the publication and its content is at your sole risk.
To the fullest extent permitted by applicable law, LSE Group, expressly disclaims any representation or warranties, express or implied, including, without limitation, any representations or warranties of performance, merchantability, fitness for a particular purpose, accuracy, completeness, reliability and non-infringement. LSE Group, its subsidiaries, its affiliates and their respective shareholders, directors, officers employees, agents, advertisers, content providers and licensors (collectively referred to as the “LSE Group Parties”) disclaim all responsibility for any loss, liability or damage of any kind resulting from or related to access, use or the unavailability of the publication (or any part of it); and none of the LSE Group Parties will be liable (jointly or severally) to you for any direct, indirect, consequential, special, incidental, punitive or exemplary damages, howsoever arising, even if any member of the LSE Group Parties are advised in advance of the possibility of such damages or could have foreseen any such damages arising or resulting from the use of, or inability to use, the information contained in the publication. For the avoidance of doubt, the LSE Group Parties shall have no liability for any losses, claims, demands, actions, proceedings, damages, costs or expenses arising out of, or in any way connected with, the information contained in this document.
LSE Group is the owner of various intellectual property rights ("IPR”), including but not limited to, numerous trademarks that are used to identify, advertise, and promote LSE Group products, services and activities. Nothing contained herein should be construed as granting any licence or right to use any of the trademarks or any other LSE Group IPR for any purpose whatsoever without the written permission or applicable licence terms.
