I am not a licensed financial advisor. This is a documented public experiment, not investment advice. Every trade, every hold, and every dollar amount is logged and publicly verifiable. See the pre-registration post for the full rules of this experiment.
This is Day 8 of the Investing Smarter Test — a 12-month experiment where I gave an AI $1,000 in a real Robinhood account and let it trade on its own. The only question I’m trying to answer: can an AI beat the simplest thing a person could do with $1,000, which is drop it in an S&P 500 index fund and walk away?
This morning the AI did the hardest thing in investing: nothing. But this time it’s worth a closer look — because “nothing” wasn’t the AI sitting on its hands. It actively went looking for a new buy, found two tempting candidates, and turned both down on purpose.
Here’s where things stand.
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Quick plain-English note, in case you’re newer to this: when I say the S&P 500 (ticker SPY), I just mean a single investment that holds a slice of America’s 500 biggest companies all at once — Apple, Microsoft, your bank, the company that makes your toothpaste. You buy one thing and you instantly own a little piece of all of them. That’s the “boring index fund” everyone keeps telling you to buy — and it’s the yardstick the AI has to beat. Learn that one term and you’re already ahead of most people.
What This Does Not Prove
Before I show you the scoreboard, a word about what you’re looking at.
This is one account. One run. One AI. Twelve months. A $1,000 account doesn’t have enough room to truly blow up — and it doesn’t have enough room to meaningfully beat the market either. Statistics require sample sizes. One experiment is a story, not a proof.
If the AI is up right now, that doesn’t prove AI investing works. If it’s down, that doesn’t prove it can’t. What it does prove is whether this specific AI, following this specific strategy, beat or lost to the simplest available alternative — a plain index fund — over this particular stretch of time.
I’m publishing every day, win or lose. If the AI blows up, you’ll see it here. That’s the point.
The Investing Smarter Test Scoreboard — Day 8 (July 1, 2026)
| AI Account | S&P 500 Index (Benchmark) | |
|---|---|---|
| Starting value | $1,000.00 | $1,000.00 |
| Current value | $1,005.32 | $1,003.98 |
| Change from start | +$5.32 (+0.53%) | +$3.98 (+0.40%) |
| AI vs. Index gap | +$1.34 (AI ahead) | — |
| Max drawdown | −0.28% | −2.04% |
The S&P 500 benchmark: $1,000 invested in SPY on June 22, 2026, dividends reinvested, no fees. The honest comparison is always “what would $1,000 in an index fund have done?”
One more plain-English term, since it’s in the table: max drawdown just means the biggest drop from a high point to a low point along the way — the worst dip you’d have had to sit through. A small max drawdown means a smoother, less stomach-churning ride; a big one means it fell hard at some point before recovering. It’s a simple way to measure not just how much you made, but how bumpy the road was to get there.
Where we stand this morning: the AI account is $1.34 ahead of the boring index fund — still a razor-thin lead over the whole run so far. Worth a caution while it’s fun: this is a tiny account over a short stretch, and a lead this small can just as easily be luck as anything else — so I wouldn’t read too much into it yet, in either direction.
One thing the scoreboard does quietly show: through this stretch the AI’s worst dip from its high point was about a quarter of a percent, while the index fund’s worst dip was about ten times that. Same near-tie on the finish line, a smoother ride to get there. At this sample size that’s a footnote, not a headline — but it’s the kind of thing worth watching over months, not days.
If This Were $10,000 Instead of $1,000
I started this with $1,000 because that’s a real, relatable amount and it’s what I was willing to hand an AI. But a lot of you are thinking about more than that — so here’s the same result scaled up. Same trades, same percentages, just 10× the starting money:
| If you’d started with $10,000 | AI Account | S&P 500 Index |
|---|---|---|
| Starting value | $10,000.00 | $10,000.00 |
| Would be worth today | $10,053.20 | $10,039.80 |
| Change | +$53.20 (+0.53%) | +$39.80 (+0.40%) |
| Difference | +$13.40 | — |
The point of showing both isn’t “look what the AI could have made you.” It’s the gap. At $1,000 the AI is ahead of the boring index fund by $1.34; scaled to $10,000 that same gap is $13.40 — same story, bigger numbers. Whether it’s $1,000 or $10,000 or $100,000, the question is identical: did the clever thing beat the boring index fund? — and notice the boring index fund’s number scales just as cleanly without anyone having to watch it every day. (This is illustrative scaling of an already-tiny sample — not a projection, not a promise. Past performance is not future performance.)

Why the AI Held — And Why That’s the Whole Point
Here’s the thing nobody tells you about investing: most of the skill is in not doing things.
This morning the AI had cash burning a hole in its pocket — about $749 sitting idle, roughly three-quarters of the account — and it went shopping. It looked hard at two real candidates. One was a healthcare fund sitting near a 52-week high with genuine momentum. The other was a Japan fund riding a corporate-reform story. Both passed the AI’s technical and liquidity tests. A human with $749 doing nothing and two “buy” signals blinking would very likely have pulled the trigger on at least one, just to feel productive.
The AI turned down both — and its reasons are the interesting part. Here’s the reasoning it logged this morning, word for word:
HOLDINGS REVIEW: (1) AAPL — TEST ARTIFACT per position_memory. $0.98 fractional position, -2.28% unrealized. Re-evaluating on merits: AAPL at $293.18, ~8% below 52wk high (~$319), no clear trend breakout or catalyst, earnings 7/31 within typical window. Does NOT independently clear fence as a new long — but position is $0.98 (trivial), exit would cost more in friction than the position is worth. HOLD the dust position; do not treat as conviction pick in scorecard. (2) VWO — $97.29, -2.72% unrealized. At $59.59, 3% below 52wk high $61.52. EM exposure intact, steady uptrend from Jan lows. No entry thesis in position_memory — judging on current merits. Trend intact, no kill criteria triggered. HOLD. (3) XBI — $160.02, +6.68% unrealized (winner). Entry thesis (2026-06-23): trend breakout at 52wk high, biotech M&A catalyst. Kill criteria: close below $142 on 2 consecutive days. Current price $158.40, within 1% of 52wk high $160.01. Thesis STILL DEVELOPING — M&A tailwind intact per UBS, trend unbroken, well above $142 support. HOLD. NEW CANDIDATES REVIEWED: XLV (healthcare sector ETF) — near 52wk high $161.25, current $159.28, strong trend, M&A/GLP-1 catalysts. Clears liquidity/spread tests. However: adding XLV would create sector overlap with XBI (both healthcare/biotech exposure), violating diversification spirit. XBI already captures biotech M&A thesis with better YTD momentum. REJECT XLV — redundant sector exposure. EWJ (Japan ETF) — $93.49, 4% below 52wk high, corporate governance reform catalyst, strong 2025 return. Clears technical/liquidity tests. However: already hold VWO (EM international exposure); adding EWJ would tilt portfolio to 2 international ETFs + 1 US sector ETF with only dust in a US single stock. Would like to see individual stock opportunity before adding another ETF. REJECT EWJ — prefer to preserve dry powder for higher-conviction stock setup. HOLD all.
(A quick note on those dollar figures in the AI’s log — like “VWO $97.29” — those are the value of the whole position, not the price of one share. VWO trades around $60 a share; the account just owns about a share and a half of it.)
A note on reading that: the AI will always write a confident explanation. Confident reasoning is not the same as correct reasoning. I’m logging it exactly as written so we can look back later and see whether it was right — or whether it just sounded right.
But look at why it said no. It didn’t reject the healthcare fund because it looked bad — it rejected it because it already owns a biotech fund doing the same job, and doubling up would just concentrate risk while pretending to diversify. It didn’t reject the Japan fund on the merits either — it said, in effect, “I’d rather keep my dry powder for a better single-stock opportunity than pile into a second international fund.” That’s the discipline most of us don’t have when we’ve got idle cash and something shiny in front of us. The urge is to use the money. The AI chose to wait for a better pitch.
What holding means for the strategy:
This is a buy-and-hold experiment. Most days should be hold days. The AI is not supposed to be trading constantly — constant trading generates fees and taxes, which is one of the ways active strategies underperform indexes over time. So today’s hold is the expected behavior, not a cop-out. The version worth admiring is the one you saw today: it looked, it was tempted, and it still said no. (Yesterday’s Day 7 update was the same discipline from the other direction: a winner near a 52-week high that the AI simply let ride.)
What You Should Actually Do With $1,000
I get this question every time I write about investing experiments: “Should I do what the AI is doing?”
Here’s my honest answer: probably not.
If you have $1,000 to invest and you don’t know what to do with it, the research is clear. Put it in a low-cost S&P 500 index fund — something like SPY, VOO, or FSKAX. Set it up as automatic monthly contributions if you can. Don’t check it daily.
Where to actually do it. A quick, honest disclosure first: for the services below, I show you two links each — a referral link where you and I both get a small bonus or bit of free money, and a plain direct link where I get absolutely nothing. Your choice, always, and never required. I lay out exactly how I do (and don’t) make money on my editorial independence page.
- Vanguard — the low-cost gold standard. Buy VOO directly; about 0.03% a year. Best if you want the cheapest DIY option. No referral program, so just one link: vanguard.com.
- Betterment — a robo-advisor that auto-builds and rebalances an index portfolio (about 0.25% a year). → referral link (we both get a bonus) or plain link (I get nothing).
- Acorns — rounds up your spare change and invests it; best for building the habit. → referral link ($5 for you after you invest) or plain link (I get nothing).
- Robinhood — the commission-free broker this experiment runs on; fine for buying VOO or SPY and leaving it alone. → referral link (a free fractional share, $5–$200 value, for both of us) or plain link (I get nothing).
That’s it. That’s the boring, reliable thing. The entire point of this experiment is to find out whether a sophisticated AI can actually beat that boring, reliable thing — and after 8 days, here’s exactly where it stands: the AI is $1.34 ahead of the index fund.
Before I gave the AI a dollar, I laid out the whole case for why this is a genuinely hard thing to do — the pre-registration post I wrote before it started. I made my reasoning public on day zero so nobody could accuse me of writing the ending afterward. Whether the AI proves me right or surprises me, you’ll see it happen in real time — that’s the fun of it.
Transparency: The Full Log Is Public
Every trade this AI has made or declined to make — plus its logged reasoning — is publicly documented, and today’s “I looked at two funds and passed” is a perfect example of the kind of decision that gets logged whether or not anything happens. You can also read the full rules and strategy I set before it started. If you want to verify anything in this post, you can.
That’s the deal I made with readers before this experiment started, and I’m keeping it.
Frequently Asked Questions
Q: How is the S&P 500 benchmark calculated?
A: I recorded the price of SPY (the SPDR S&P 500 ETF Trust) on June 22, 2026, the same day the AI account started. The benchmark tracks what $1,000 invested in SPY that day — with dividends reinvested and no fees — would be worth today. It’s the simplest honest comparison: what would doing nothing have gotten you?
Q: Can I follow along or copy the AI’s trades?
A: You can follow along — every trade and hold decision is logged publicly. I’d encourage you NOT to copy the trades, though. This is one $1,000 experiment, not a recommendation — a single concentrated account isn’t a sound way for anyone to invest their own money, no matter how it ends up doing. The better move is the boring one above: a low-cost index fund, left alone. Follow the experiment for the story; don’t follow it as a strategy.
Q: If the AI isn’t trading, is anything actually happening?
A: Yes, and today is a good example. The AI reviewed two new funds it could have bought — a healthcare fund and a Japan fund — and turned both down to avoid doubling up on risk and to keep its cash available for a better opportunity. A buy-and-hold strategy means most days are hold days by design, but “holding” often means actively deciding not to buy something tempting. That restraint is one of the ways this kind of strategy differs from active trading, which generates more costs than most people realize.
Coming Up
Every weekday morning I post what the AI decided and where the scoreboard stands. The boring truth is most days the answer will be “it held, and holding was right.” Come watch whether the clever machine can actually beat the index fund you could set up in ten minutes and forget. Subscribe so you don’t miss the day the experiment proves its point — in either direction.
This is what I’m seeing after more than 30 years of helping people with money. Take it as one informed perspective — but only you know your full situation. Use this as input for your decision, not a directive. Nobody gets to tell you what to do with your money. Not me, not anyone.
Steve Rhode is not a licensed financial advisor. The Investing Smarter Test is a documented public experiment, not investment advice. All trades and decisions are logged publicly. Do not make financial decisions based on this experiment. For guidance on your own money, talk to a fee-only fiduciary financial advisor.
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