Imagine asking ChatGPT to build you a $1.2 million portfolio … and then actually following it.
That’s exactly what one of our listeners considered doing.
She used AI to design her entire allocation, then called into the Afford Anything podcast to ask:
“How’d the robot do? What would you tweak?”
On a recent episode, Joe and I break down her plan — what’s solid, what’s questionable, and what we’d change if this were our money.
(Spoiler: her “spicy” 6% allocation to Cathie Wood’s Ark funds sparked fierce debate.)
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But here’s what ChatGPT can’t tell you: when to hold, when to rebalance, and when to ignore the noise.
Because investing isn’t just math.
It’s psychology — knowing which trade-offs align with your goals, not just what looks good on a spreadsheet.
It’s understanding the difference between “growth” and “income,” between “investment” and “consumption.”
An algorithm can crunch numbers. But it can’t guide you through the messy, human parts of building wealth.
Watch Episode #641: ChatGPT Built Her $1.2M Portfolio … But Should She Trust It?
This listener’s question got me thinking:
If AI struggles with the nuanced, psychological side of stock investing — one of the most standardized, liquid, well-documented asset classes —
… then how much harder is it when the stakes involve something tangible, illiquid, and deeply personal?
Like real estate.
With stocks, you’re buying tiny fractional shares of companies. You can buy and sell instantly, without talking to a single other person. You can dollar-cost average in slowly.
As a stock investor, the company’ financials are public, the data is clean and highly regulated, and the reporting requirements are consistent. The whole system is designed to be accessible to the mass market.
With stocks, there’s a ton of information out there. And millions of people are doing the exact same thing you are.
Real estate? It’s the opposite.
Every property is different — the age, the condition, the location.
Every market has its own quirks — both at the regional and city/town scale, as well as at the hyper-local neighborhood scale.
You’re committing six figures to a single asset — and you can’t just sell it with a click. There’s no Robinhood app of real estate (thank God — can you even imagine?!).
And you’re not just analyzing spreadsheets. You’re giving people a home — and dealing with everything that comes with that.
You’re approving applications, managing tenants, making repairs, deciding on upgrades, choosing whether or not to raise the rent upon renewal.
You’re making all of these choices that affect real people’s lives.
If ChatGPT can’t fully capture the psychological nuances of stock investing — where the decisions are relatively straightforward and standardized — then it definitely can’t guide you through the deeply human, emotional, messy, and judgment-heavy reality of owning rental property.
(“Judgment-heavy” meaning “use your best judgment,” not like “people are judging you,” although that might also be true.)
Anyway — so that why real human experience matters. Having a North Star set of principles that guide your decision-making matters.
Learning from a community of people who have been through it matters.
Because AI can spit out cap rate formulas and cash flow projections. But it can’t tell you:
How it feels to screen your first tenant and trust your gut when something seems off
Whether that vacation rental is actually an investment — or just a lifestyle purchase you’re trying to justify
If you’re truly ready to trade liquidity for long-term cash flow
What to do when the toilet breaks at 10 PM and your tenant is panicking
In short, it can’t tell you how to exercise judgment, discernment, and wisdom.
Real estate isn’t just about running the numbers. It’s about developing the judgment to know when a property makes sense — and the confidence to walk away when it doesn’t.
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