5 Claude Tips Most Investors Aren’t Using

AI is becoming part of the investment process.
Research, market analysis, financial modeling, due diligence, writing, scenario planning—tools like Claude can help investors move through all of it faster.
But speed isn't necessarily the biggest advantage.
The bigger opportunity is using AI to think differently.
Instead of treating Claude as a machine that gives you answers, I think it's more useful to treat it as a tool that can challenge your assumptions, organize complexity, and help you explore possibilities you may not have considered.
Discover 5 Claude tips for investors, from challenging assumptions and scenario analysis to Projects, web search, and custom Skills.
1. Don't Ask Claude for an Answer. Ask It to Challenge Your Thinking.
One of the easiest mistakes to make with AI is asking questions that already contain the conclusion you want.
For example:
“Why is this a good investment?”
You're essentially asking Claude to build a case for you.
A better question might be:
“What assumptions in this investment thesis could be wrong?”
Or:
“What would an experienced investor challenge about this thesis?”
That changes the role of AI.
Instead of using it to confirm your thinking, you're using it to stress-test your thinking.
That's particularly useful when you're already convinced that an opportunity is attractive.
The more confident you become in an investment thesis, the more valuable an opposing perspective can be.
Investor takeaway: The best prompt may be the one that argues against you.
2. Know When Claude Is Guessing
AI can produce an answer that sounds confident even when the underlying information is incomplete, outdated, or uncertain.
That's important to remember when working with anything that changes quickly.
Market conditions
Company information
Regulations
Interest rates
Economic data
Current events
For time-sensitive information, don't simply assume the answer is current.
Use web search.
And when the information matters to an investment decision, go one step further: ask for sources and verify important claims against reliable primary or authoritative sources.
AI is incredibly useful for helping you process information.
That doesn't mean every piece of information it gives you should automatically become part of your investment thesis.
Investor takeaway: Confidence in the answer doesn't mean confidence in the information.
3. Use AI for Scenarios. Not Predictions.
Investors often want to know what happens next.
What will revenue look like in five years?
Where will the market be?
What will the valuation become?
AI can generate a prediction.
But a single prediction can create a false sense of certainty.
Instead, use AI to explore multiple scenarios.
What happens if revenue grows 5%?
What if it grows 10%?
What happens if margins decline?
What if financing costs increase?
What if the market takes longer to recover?
The objective isn't to predict the future perfectly.
It's to understand how sensitive your investment thesis is to different assumptions.
That's a much more useful exercise.
Good investors don't need to know exactly what the future will look like.
They need to understand what could happen—and how they would respond.
Investor takeaway: Scenario analysis can be more valuable than a single forecast.
4. Use Projects, Not Just Individual Chats
If you're working on a project over weeks or months, starting from scratch in every conversation doesn't make much sense.
This is where Projects can become particularly useful.
Instead of keeping everything in one enormous conversation, you can organize related work within the same project while using separate chats for different objectives.
For example, an investment research project could include separate conversations for:
Market research
Competitive analysis
Company fundamentals
Due diligence
Risk analysis
Scenario planning
Investment thesis
Each conversation can have a specific purpose while remaining connected to the broader project context.
That makes AI much more useful for ongoing work because you're not treating every interaction as an isolated question.
You're building a workspace around the problem you're trying to solve.
Investor takeaway: Separate the conversations. Keep the context connected.
5. Build Your Own Skill. Don't Just Use Claude.
One of the most powerful ways to use AI is to stop thinking only in terms of individual prompts.
Think about your process.
If you repeatedly perform the same type of analysis, you can turn that workflow into a reusable Skill.
For example, an investment-analysis Skill could instruct Claude to consistently evaluate:
Market dynamics
Business model
Financial performance
Competitive position
Management
Key risks
Downside scenarios
Capital requirements
Potential value-creation opportunities
Now you're not starting with a blank page every time.
You're building a repeatable framework around the way you want the work done.
That's where AI becomes more than a productivity tool.
It becomes part of your operating system.
And the more refined the process becomes, the more consistent the output can become.
Investor takeaway: The real productivity gain isn't one great prompt. It's building a repeatable process.
AI Can Accelerate the Process. Judgment Still Matters.
None of these tips change one fundamental principle:
AI doesn't make the investment decision for you.
It can help you research faster.
It can organize information.
It can identify potential blind spots.
It can test assumptions.
It can help you explore different scenarios.
But conviction still requires judgment.
An investment thesis isn't valuable because AI produced it.
It's valuable when the underlying assumptions make sense, the risks are understood, the valuation is appropriate, and there is a credible path to creating value.
That's how I think about AI in investing.
Not as a replacement for experience.
Not as a shortcut around diligence.
But as a tool that can help investors ask better questions, think more critically, and make better use of their time.
The real advantage isn't getting AI to think for you.
It's learning how to think better with AI.
How are you using AI in your investment or business workflow?
John Jezzini
Private Equity | Real Estate | Private Capital
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