Chapter 8: Using Artificial Intelligence to Invest Better

Part 10 of 43 in How to Invest Your Money: Lessons from the World’s Greatest Investors, Adapted for the Indian Investor← Part 9Part 11 →

This chapter explains how investors can use artificial intelligence, especially large language models, to research businesses, test investment ideas, and review portfolios. It helps investors work faster while preserving independent thinking, verification, and risk control.

Artificial intelligence, particularly large language models, has become a powerful assistant for investors who already possess sound principles. It does not replace judgment, independent thinking, or the need for verification. Used carefully, however, it can dramatically increase the speed and depth of research, help identify blind spots, and support continuous learning.

Research and Due Diligence

Annual reports, investor presentations, and conference-call transcripts are now freely available. An investor can upload or paste relevant sections into an AI tool and ask for a clear summary of the business model, key risks mentioned by management, changes in capital allocation, and comparisons with prior years. Follow-up questions can probe for inconsistencies or request explanations of accounting items. Always cross-check important claims against the original documents and reliable data sources such as company filings on BSE/NSE or Screener.in.

Idea Generation and Devil’s Advocacy

AI can help generate alternative scenarios. After forming a thesis, ask the model to argue the opposite case as strongly as possible, or to list the assumptions that must hold for the investment to succeed. This is a modern version of the “inversion” technique favored by Munger. It surfaces risks that enthusiasm might otherwise obscure.

Learning and Portfolio Review

Use AI as a patient tutor. Ask it to explain concepts such as free cash flow, return on capital employed, or the difference between trailing and forward valuation multiples, with Indian company examples. Periodically paste your portfolio holdings (without personal account details) and ask for an analysis of sector concentration, correlation risks, or questions you should be asking about each position. Treat the output as a starting point for your own thinking, not as advice.

Important Cautions

AI models can hallucinate facts, invent numbers, or present outdated information confidently. They do not have real-time market data unless specifically connected to tools that do. Never act on AI-generated numbers without verification. Do not share sensitive personal or account information. Most importantly, AI cannot supply the temperament and long-term perspective that remain the investor’s primary edge. Use it to do the research faster and more thoroughly, then apply the principles of independent thinking, probabilistic reasoning, and risk control yourself.

• Prompt example: “Summarize the key risks disclosed in the latest annual report of [Company]. Highlight any changes from the previous year and suggest three questions a long-term investor should ask management.”
• Prompt example: “I am considering an investment in [sector]. What are the main structural advantages and disadvantages of Indian companies in this space? What historical evidence exists for or against the investment thesis?”