How to start using AI for investing
To start using AI for investing, use it for the slow, mechanical parts of research — reading filings, pulling financials, drafting a valuation, listing risks — and keep the judgment for yourself. Begin with one company you already understand, ask the AI to gather and structure the evidence, then pressure-test its output against the numbers. The goal is to make your existing process faster and more disciplined, not to replace it with a black box.
If you're new to using AI for investing, the temptation is to ask a chatbot "should I buy this stock?" and act on the answer. Don't. The right way to start using AI for investing is to point it at the slow parts of research — gathering data, building a valuation, listing risks — and keep the final decision for yourself.
Here's a practical, beginner-friendly way to begin.
Step 1: Start with a business you already understand
Pick one company you genuinely know — a product you use, an industry you've worked in. Familiarity gives you a built-in lie detector. When the AI summarizes the business, you'll immediately notice if it's wrong, and that calibrates how much to trust it on companies you don't know.
Step 2: Use AI to gather, not to decide
Ask the AI to do the tedious collection work:
- Summarize the latest 10-K and 10-Q in plain language
- Pull ten years of revenue, margins, and free cash flow
- List the company's main competitors and where its advantage comes from
- Transcribe and summarize the most recent earnings call
This is where AI earns its keep — turning hundreds of pages into a structured starting point in seconds. You're using it as a research assistant, not an oracle.
Step 3: Ask it to value the business conservatively
Have the AI build a discounted cash flow using deliberately conservative assumptions — modest growth, normalized margins, a discount rate that doesn't flatter the business. Then ask for a reverse DCF: what growth rate does today's price already assume? If the price implies heroic growth, that's a flag no amount of optimism fixes.
Step 4: Make it argue against itself
The single most valuable prompt for an investor isn't "is this a good buy?" It's "what would have to be true for this to be a bad investment?" Ask the AI for the bear case, the ways the moat could erode, and the assumptions most likely to be wrong. AI is far more useful as a skeptic than as a cheerleader.
Step 5: Verify before you trust
Never act on a number you haven't traced to a source. AI can hallucinate a margin or misread a filing. Spot-check the key figures against the actual statements. The discipline is simple: the AI does the work, but the evidence has to be real and checkable.
The mistake beginners make
The classic error is outsourcing conviction. People let a confident AI answer stand in for understanding, then can't hold the position when it drops 20% — because the thesis was never theirs. Use AI to build your understanding faster, not to skip it. If you can't explain in two sentences why the business is durable and why the price is fair, you're not ready to buy, no matter what the model says.
A faster path
Doing all of this by hand-prompting a general chatbot works, but it's slow and inconsistent. A purpose-built platform runs the same disciplined process every time. Claremont Street applies a 167-point framework — quality, valuation, and margin of safety — to any ticker, with the filings already read and the conservative value range already built, so you start from evidence instead of a blank prompt.
FAQ
How do I start using AI for investing as a beginner?
Start with one company you understand, use AI to gather and structure the research (filings, financials, risks), ask it to value the business conservatively and argue the bear case, then verify the key numbers yourself before acting.
What should I never use AI for when investing?
Never use it to make the final buy or sell decision on autopilot, and never trust a figure you haven't traced to a real source. AI gathers and analyzes; you decide.
Which AI tools are best for investment research?
General chatbots work for one-off questions, but purpose-built research platforms that read filings and apply a consistent valuation framework give you far more reliable, checkable output.
Can AI help me avoid mistakes?
Yes — its best use is as a skeptic. Asking AI for the bear case and the weakest assumptions in your thesis catches the optimism that causes most investing errors.
Is it safe to invest based on AI research?
It's safe to research with AI; it's risky to obey it. Treat AI output as a well-organized starting point you still have to verify and judge.
This analysis is for informational and educational purposes only and is not investment advice. Claremont Street is not a registered investment advisor. Do your own research.
Related reading:
Patient, AI-native investing — built for the long term.
Run any stock through the 167-point framework. Free to start, no card required.