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How Investors are using AI - [Business Breakdowns, EP.240]

Business Breakdowns

Shownote

Today we have a special episode breaking down how investors are using AI.  This is a question I get from many of you, and while there is no shortage of content on the implications of AI, I know there's an appetite to learn more about tangible use cases, h...

Highlights

This episode explores how professional investors are practically applying AI to enhance research, idea generation, and decision-making—without replacing human judgment.
00:00
Portrait Analytics offers AI-powered idea generation, customized research reports, and thesis monitoring for investors
04:05
David got the idea of using AI in investment research at Stanford Business School in 2015–2017
05:54
AI is useful in high-level information processing and triaging new data points without replacing parts important for building conviction
09:09
AI now enables efficient extraction of ecosystem-relevant data—like hotel booking trends—for stocks such as Expedia
11:54
AI provides enough context to quickly decide whether to pursue an idea
14:40
AI can surface credibility patterns in management guidance more easily than manual analysis
20:43
Getting the most out of AI requires skill sets
24:44
Defining the task, context, specific outputs, guidelines, and domain context is a good starting point, and if a human can understand it, the model should too.
25:27
For structured tasks, uploading documents is better to avoid web-crawling and hallucinations
27:47
Spending 15% of time on AI experimentation helps track the evolving capability frontier
35:24
Building trust in investment research and processes should happen on an individual level.
35:57
Capturing data in real-time forms valuable IP
39:20
While some models used to struggle with large-scale data tasks, they've improved
42:03
In the near term, memory is a limited and expensive tool, less effective than human memory
46:24
Agentic AI is a model capable of reasoning, acting, and reflecting in pursuit of a goal

Chapters

Welcome to Business Breakdowns
00:00
Meet David Plon: Investor to Founder
04:05
Pain Points in the Investment Process
05:54
AI as a “Smart Filter” for News
09:08
AI’s Role in the Pre-Buy Process
11:54
How AI Enables Specific Quantitative Analysis
14:34
Using AI for Investment Idea Generation
17:24
How to Write Good Prompts for LLMs
21:42
Structured vs. Creative Tasks
25:27
The Value of Experimentation & Real-Time Feedback
27:47
Best Practices for Deploying AI in an Institutional Setting
32:28
Why Documenting Decision Making is Essential
35:57
How Models Have Improved at Using Provided Context
39:19
Memory in LLMs: Near-Term Limitations, Long-Term Potential
42:02
Applying Agentic AI in Investment Research
46:24

Transcript

Matt Reustle: This episode is brought to you by Portrait. It's the AI research system that I used to prepare for today's episode and for all Business Breakdowns episodes. Portrait was built by former buy-side investors, and they understand great investing ...