How is artificial intelligence evolving from a search tool into a personal operating system for financial decision-making?

In this NYSE Live interview from Money20/20 USA, Aravind Srinivas, Co-Founder and CEO of Perplexity, discusses how AI is transforming personal finance, investment research, shopping decisions, and the broader way people interact with information.

JD Durkin spoke with Srinivas about AI-powered financial tools, agentic workflows, personal finance automation, trust in artificial intelligence, search innovation, and the future of AI-driven decision-making.

A major theme throughout the conversation is the evolution of AI from a reactive question-and-answer system into a proactive operating system that helps users manage ongoing tasks and workflows. Srinivas believes the next phase of AI will focus less on answering individual questions and more on continuously assisting users behind the scenes.

The interview also explores how Perplexity is expanding into personal finance use cases. Through integrations and connected data sources, the platform can help users monitor spending, track budgets, research investments, and organize financial information in ways that support more informed decision-making.

Another key topic is the rise of recurring AI-powered automation. Rather than manually searching for information each day, users can leverage AI systems that continuously monitor data, identify opportunities, and surface relevant insights when needed.

The conversation further examines Perplexity's vision of becoming a trusted financial assistant. Srinivas describes a future in which users remain in control of decisions while AI helps evaluate options, conduct research, and provide recommendations based on evolving goals and preferences.

A significant focus of the discussion is the distinction between research and execution. Srinivas argues that consumers are generally less interested in allowing AI to make purchases on their behalf than they are in receiving high-quality analysis that helps them make better decisions themselves.

The interview also highlights the growing importance of trust in AI systems. Accuracy, transparency, verifiability, and access to source information remain essential components of building confidence in AI-generated recommendations and insights.

Another major theme is explainability. Perplexity places significant emphasis on providing citations, source attribution, and evidence trails that allow users to understand where information originates and how conclusions are generated.

The discussion also explores the use of financial data sources and integrations. Access to trusted information, combined with detailed attribution and auditability, can help users make better-informed financial and business decisions.

Additionally, Srinivas discusses the importance of security and privacy. AI systems handling personal financial information must be designed with strong safeguards, trusted connectors, secure environments, and transparent data practices.

The interview further examines how AI agents are being developed and tested. Perplexity has invested in building secure sandbox environments and open-source tools designed to improve agent reliability, oversight, and operational safety.

Another key topic is competition within the AI landscape. While many companies focus on building proprietary large language models, Srinivas positions Perplexity as a model-agnostic platform capable of orchestrating and leveraging multiple AI systems based on the needs of a particular task.

The conversation also highlights the idea of neutrality. By focusing on delivering the most effective answer rather than promoting a specific model, Perplexity aims to serve as an independent layer connecting users with the best available AI capabilities.

Looking ahead, Srinivas expects AI-powered research, financial analysis, decision support, and agent-driven workflows to become increasingly integrated into both personal and professional life, helping users save time while making more informed choices.

Throughout the discussion, Srinivas shares insights on artificial intelligence, personal finance, investment research, AI agents, financial technology, search innovation, automation, transparency, trust, and next-generation digital assistants.

Disclaimer: Informational content only. NYSE does not endorse or recommend investments, strategies, companies, products, or services discussed.

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