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There’s a growing myth that AI is some kind of digital executive or financial adviser. A calm, all-knowing chief of staff who can think through ambiguity, weigh tradeoffs and make wise decisions. It’s not. At least not yet.
AI is currently a specialist, and a wildly capable one. It’s lightning-fast and encyclopedic, and it works tirelessly. But it’s a specialist. AI has the technical chops of a PhD and the judgment of a 12-year-old.
If you don’t understand the difference, you’ll mistake fluent output for sound thinking, which will leave you with expensive noise instead of actionable insight.
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The world’s smartest intern
AI is like the most knowledgeable intern you’ve ever met. It can summarize 200 pages in seconds, crunch numbers, draft code, emails and reports, explain complex topics at multiple levels and brainstorm faster than any human.
But it can’t understand real-world stakes, weigh second- and third-order consequences, recognize when something that’s technically correct is practically disastrous or push back when your goal itself is flawed.
An intern executes while a strategist decides what’s worth executing, and AI doesn’t know the difference. Ask it confidently for the wrong thing, and it will confidently help you do just that, better and faster.
Why AI sounds smarter than it is
The danger isn’t that AI is dumb. The danger is that it sounds smart. It writes in clean paragraphs with beautifully structured logic. It rarely says “I don’t know” unless you push it to.
That presentation layer triggers a cognitive shortcut in our brains: “If it sounds this coherent, it must have been thought through.”
It wasn’t. It predicted what a good answer looks like based on patterns in its training data. That’s pattern recognition, not judgment.
Judgment requires context about your specific situation, awareness of tradeoffs and an understanding of what happens if things go wrong.
AI has none of those unless you supply them. And even then, it can’t truly evaluate them. It can only simulate reasoning about them.
The prompt is the strategy
Here’s the uncomfortable truth: Your prompt is the strategy. AI is just execution.
If your thinking is fuzzy, your output will be bullet points of polished nonsense. If your financial goals are unclear, you’ll get beautifully structured irrelevance. If your assumptions are wrong, AI will help you build a cathedral on quicksand.
That’s why two people can ask the “same” question and get wildly different value.
One person asks: “How should I invest $50,000?” AI gives generic asset allocation advice.
You ask: “I’m 36, five years from a possible career pivot, low risk tolerance, and I panic-sold in 2020. Help me design an investment approach I can stick with during a 30% drawdown.”
Now we’re in strategy territory because you supplied judgment, constraints and self-awareness. AI can help structure and explore, but the direction comes from you.
Remember: Garbage strategy in, eloquent trash out.
Where AI actually shines
Once strategy is set, AI becomes a force multiplier. It’s phenomenal at stress-testing ideas from multiple angles, translating complexity into plain English, and identifying blind spots you didn’t think to ask about.
Think of it like a power tool. In skilled hands, it builds beautiful things faster. In unskilled hands, it removes fingers more efficiently.
AI doesn’t replace thinking. Just like debt amplifies good and bad investing outcomes, AI amplifies the quality or the flaws of the thinking you bring to it.
The real risk: Outsourcing judgment
The biggest mistake people are starting to make isn’t using AI. It’s deferring to it. You see it when someone says: “I ran it through AI, so it’s solid.”
That’s like saying, “My calculator told me to buy this house.” The calculator can do the math, but it can’t decide if you should move cities, change schools or double your commute.
When you let AI’s confidence replace your responsibility, you’re not being efficient. You’re being passive. That’s not momentum — that’s motion sickness.
How to use AI like a strategist
If AI is the specialist, you must be the strategist. That means:
1. Start with the decision, not the task
Don’t ask: “Write me a money plan.”
Ask: “Here’s the financial decision I’m trying to make. Help me think through the tradeoffs.”
2. Give constraints, not just goals
“Make more money” is useless.
“I want to increase my income without adding more than 10 hours a week or increasing volatility in my life” — now we’re talking.
3. Ask for downsides on purpose
AI will happily generate upside scenarios all day. You need to force balance by asking deeper questions, such as:
- “Argue why this is a bad idea.”
- “What could go wrong that I’m not seeing?”
4. Treat output as a draft, not a verdict
AI gives you clay, not a finished sculpture. You still shape it, question it and cut parts while adding your artistic nuance and character.
5. Never outsource final judgment
If the outcome affects your money, career, health or relationships, AI can inform the decision, but it should never get a vote.
The bottom line
AI isn’t your strategist. It’s your specialist. It can analyze, summarize, draft, compare and brainstorm at superhuman speed. But it has no skin in the game, no lived experience, no intuition and no real understanding of consequences. That part is still your job.
Use AI to extend your reach, not replace your reasoning. You need to bring the judgment, the context and the strategy. Otherwise, you’re just bolting a jet engine onto a shopping cart and calling it innovation.
This article is for informational purposes only. It is not intended to be, nor should it be construed as, legal, tax, investment, financial or other advice.
