Can AI turn $1,000 into $10,000?
This is my AI stock picking experiment. First, I put $1,000 of my own money on Lightyear. Then I started following what four AI models suggest, simply to see whether the pot can grow toward $10,000. Honestly, it probably will not get there, and I might well lose money. Still, I wanted to test the idea in the open.
Last updated: 1 July 2026
By Stiv · Design, technology and personal finance
This is my own experiment, with my own money, on Lightyear. I started with $1,000 on 3 June 2026.
This article contains affiliate or referral links. If you click through and sign up I may earn a commission or referral bonus at no extra cost to you. It does not affect my editorial view.
This is a personal experiment for curiosity, not financial advice and not stock recommendations. Naming a holding here is never a tip to buy it or sell it. Because I am not a financial adviser, I cannot tell you what to do with your money.
The story so far. Four rebalances in, the pot was last around $902.49, still below the $1,000 start, and this week's review left the holdings unchanged. Jump straight to a weekly entry:
- Week 5, 1 July 2026: fourth rebalance, no change, line-up unchanged
- Week 4, 28 June 2026: third rebalance, one name out, one name in
- Week 3, 18 June 2026: second rebalance, five names out, four names in
- Week 2, 10 June 2026: first rebalance, six names out, six names in
- Week 1, 3 June 2026: starting line-up goes live with $1,000
Section 01 / The experiment
What this AI stock picking experiment actually is
A simple, public test: one small pot, four AI models, and an honest weekly log.
So here is the premise. I started with $1,000 (USD) on Lightyear, and the goal on the tin is $10,000. To be clear, that 10x figure is the hook, not a forecast. Realistically, a tenfold return is extremely unlikely, and a real loss is entirely possible.
Importantly, this is one person messing about with a tool, in public, with real money. It is not a strategy you should copy, and it is certainly not advice.
Section 02 / Method
How my AI stock picking experiment works
Four models, one combined list, and overlap treated as a signal of conviction.
First, I look at the top 15 holdings and allocations that four AI models produce: Claude, ChatGPT, DeepSeek and Grok. These come from Dr Lira's AI Finance Labs inside the Autopilot app. To be clear, it is a third-party tool, not something CoolCuration runs. Also, AI Finance Labs runs several separate AI portfolios, so the four model picks are managed individually within it.
Next, I combine all four lists into one weekly "top picks" view. Then, where the same name appears across more than one model, I treat that overlap as a signal of conviction rather than a one-off guess. After that, I check the combined list against my account and rebalance on Lightyear as needed.
Crucially, Autopilot is a US-focused app and it does not connect to Lightyear. As a result, I read the picks and then place the trades myself. In other words, the AI suggests, but every buy and sell is my own manual decision.
Section 03 / The line-up
The week one starting line-up
Names only, in no particular order. These are not buy recommendations.
For transparency, here is the combined week one list. However, I am not sharing per-holding amounts or percentages, because this is about the method, not a model portfolio to copy. Anyone could in theory rebuild a similar list, but they would have to work out their own allocations and their own values.
Update, 10 June 2026: this was the week one starting list. The line-up has since changed at the first rebalance, so see the weekly update log for the latest names.
All fifteen are ordinary listed shares, so the prescribed high-risk wrapper warning does not apply here. That said, individual shares are still volatile, and a short list like this carries real concentration risk. You can see my current holdings, names only, on my public Lightyear profile.
See my live holdings on Lightyear
This experiment runs on Lightyear
I use Lightyear because the costs are low and the app is clean. The FX fee is currently 0.10%, which matters when you buy US shares in dollars. Of course, low fees do not protect you from losses. Remember, this is not advice, and I am only describing what I use.
Capital at risk. This is a personal experiment, not financial advice. Consider a qualified adviser before investing.
Section 04 / The honest bit
Limitations and risks of an AI stock picking experiment
This is the part most "AI portfolio" hype quietly skips. So let me be blunt.
First, the $10,000 goal is very unlikely. A 10x return on a short list of shares would need an extraordinary run, and there is a real chance I simply lose money instead.
Second, following a small list means concentration risk. Because the pot is not spread widely, one or two bad names can drag the whole thing down.
Third, AI models can be wrong and inconsistent. They change their minds week to week, and they sometimes contradict each other on the very same stock.
Fourth, I rely on a third-party source. The picks come from AI Finance Labs and Autopilot, which I do not control, and which carry no proven track record that I am claiming here.
Fifth, there are real costs. Buying US shares in dollars on Lightyear means a 0.10% FX fee, which nibbles at returns over time. I compare this kind of cost in my guide to the cheapest investment apps by FX fees.
Above all, this is one person's experiment, not a tested strategy. Meanwhile, the wider evidence is sobering: according to S&P's SPIVA scorecard, the large majority of active stock-picking funds underperform a simple index over the long run. If you are new to all this, my beginner's guide to investment risk is a calmer starting point.
A 10x return is the hook, not a prediction. The honest base case is that I might lose money.
Section 05 / Protection
Is my money safe? FSCS and custody
Worth separating two very different ideas: firm failure versus market losses.
To begin with, Lightyear U.K. Ltd acts as custodian, and your investments are held in your name in segregated accounts, with Lightyear Europe AS used as a possible sub-custodian. So you remain the beneficial owner of your shares.
On top of that, there is regulatory protection. Eligible investments are protected up to £85,000 per person per FCA-authorised firm by the FSCS. However, the FSCS covers firm failure only. It does not cover investment losses, so if a share falls, that loss is simply yours.
Because this is a general investment account rather than a tax wrapper, ordinary tax rules apply. Tax treatment depends on the individual circumstances of each client and may be subject to change in future. You can read Lightyear's own explainer on how assets are protected.
Section 06 / Follow along
How to follow the experiment
Two ways to keep up, plus the next scheduled check.
First, you can watch the holdings change in near real time on my public Lightyear profile, where the names are visible but the amounts are not. Second, you can check the weekly update log below, where I note what changed or confirm that nothing did.
Then, each week I will append a short, dated entry and refresh the "Last updated" date at the top. The next check is due on 8 July 2026. Either way, you can see exactly how this AI stock picking experiment is going, week by week.
Section 07 / The log
Weekly update log
Newest entry first. Each week adds one short entry.
Week 5, 1 July 2026. Status: no change. Fourth rebalance review.
A quiet one this week. When I ran the four AI portfolios through the usual process, the holdings came out unchanged, so nothing actually needed trading. As before, Vistra (VST) remains the anchor. Notably, it is still the only stock backed by all four models, and it stays comfortably the largest position. Micron (MU) and Palomar (PLMR) sit just behind it, while the rest of the list is unchanged in makeup.
Meanwhile, the only real movement came right at the bottom, where the final slot was once again a tight four-way tie on points. The contenders shuffled slightly, so Frontline slipped out and Endeavour Silver came in. However, Dianthus Therapeutics (DNTH) held onto the place on the same reasoning as before, since it adds a second biotech rather than piling further into silver, gold or large-cap tech.
Finally, a handful of target weights drifted by a point or two, with Palomar in particular edging higher. Because the holdings themselves were unchanged, though, I left these alone rather than churn them for the sake of it. So the line-up simply rolls on, unchanged, into the next update. None of this is a recommendation; see the live names on my Lightyear profile. Capital at risk. The value of investments can go down as well as up and you may get back less than you invested. Past performance is not a reliable indicator of future results.
Week 4, 28 June 2026. Status: changed. Third rebalance.
This one ran a few days late, mostly because I was flat out. As it turned out, though, the delay cost nothing. When I finally compared the four AI portfolios against the last rebalance, almost nothing had moved. In fact, 13 of the 14 holdings carried straight over, so there was just a single trade to make.
On the numbers, the combined pot sits at $902.49, basically flat on the $907.37 from last time. So that is down about $5, or roughly half a percent, which on a pot this size is barely a flicker.
As for the one change, FTAI Aviation (FTAI) has dropped out of the combined top 15, slipping just below the cut-off this round. In its place comes a new name, Dianthus Therapeutics (DNTH), a clinical-stage biotech working on treatments for severe autoimmune diseases. Accordingly, FTAI was sold in full and the proceeds rolled straight into DNTH.
One judgement call is worth flagging. The final slot came down to a four-way tie between four single-model picks: Dianthus, Frontline, Centerra Gold and Microsoft. Because no consensus signal separated them, the call went to Dianthus on diversification grounds. After all, the book is already heavy in gold and energy, so a second biotech made more sense than piling into more mining, shipping or big tech.
Otherwise, everything drifted by only a point or so, immaterial on a pot this size and not worth trading on. Meanwhile, Vistra (VST) remains the clear anchor, still backed by all four models and comfortably the largest position. Overall direction: flat. The takeaway is simple: when the underlying AI portfolios barely move, the combined strategy barely moves too, so a late rebalance makes no real difference. After the bigger reshuffles of recent weeks, a quiet one is no bad thing. None of this is a recommendation; see the live names on my Lightyear profile. Capital at risk. The value of investments can go down as well as up and you may get back less than you invested. Past performance is not a reliable indicator of future results.
Week 3, 18 June 2026. Status: changed. Second rebalance.
Better news this time. The pot grew to $907.37, up from $869.04 at the last rebalance. That is still below the $1,000 start, but the direction this week was clearly up.
As usual, the method held firm. First, five names left the book entirely as the models moved on: IREN, Denali Therapeutics (DNLI), Eldorado Gold (EGO), Willdan (WLDN) and Sable Offshore (SOC). In their place, four fresh names arrived: Magnite (MGNI), Coeur Mining (CDE), Zeta Global (ZETA) and FTAI Aviation (FTAI). Notably, Zeta is a return, having been cut only last month.
Meanwhile, the headline is Vistra (VST). It is now backed by all four AI models, up from three, so it becomes the standout consensus pick and comfortably the largest single holding. Micron (MU) sits second, while the gold miners Gold Fields (GFI) and Coeur both feature prominently.
Two calls are worth flagging for transparency. First, the final slot came down to a three-way tie between Frontline, FTAI Aviation and Centerra Gold, all single-model picks. Because no consensus signal separated them, FTAI got the nod on diversification grounds, since the book was already heavy in gold and energy. Second, one chosen holding, the SGOV treasury ETF, turned out not to be tradeable on Lightyear, so I dropped it and rescaled the rest. As a result, there are 14 holdings this month rather than the usual 15.
Finally, among the names that stayed: I topped up VST, Micron, Palomar (PLMR) and Gold Fields, while trimming Pagaya (PGY), Devon (DVN), Ardelyx (ARDX), Kratos (KTOS) and ServiceNow (NOW) back to target. Overall direction: up. None of this is a recommendation; see the live names on my Lightyear profile. Capital at risk. The value of investments can go down as well as up and you may get back less than you invested. Past performance is not a reliable indicator of future results.
Week 2, 10 June 2026. Status: changed. First rebalance.
Honest headline first: the pot stands at $869.04, down from the $1,000 start. Not a fun week, but exactly the kind of swing this experiment signed up for. The method stayed the same. I weight each of the four AI portfolios equally, sum the stock weights, then select the top 15 names and rescale them.
As a result, six names left the list entirely: Microsoft (MSFT), Zeta Global (ZETA), T1 Energy (TE), Orla Mining (ORLA), CleanSpark (CLSK) and Innodata (INOD). In their place came six new ones: Ardelyx (ARDX), Gold Fields (GFI), Palomar (PLMR), Devon Energy (DVN), Denali Therapeutics (DNLI) and Eldorado Gold (EGO). Notably, the final slot needed a tiebreak, and EGO edged out ZETA because two models hold it versus one.
Meanwhile, Vistra (VST) is now the strongest consensus pick, appearing in three of the four models, so I topped it up along with ServiceNow (NOW). On the other side, Kratos (KTOS) and Pagaya (PGY) are no longer held across all four models, so I trimmed them, together with Willdan (WLDN), Sable Offshore (SOC), Micron (MU), Broadcom (AVGO) and IREN. All orders went through on Lightyear and the pot is fully invested. Overall direction: down. None of this is a recommendation; see the live names on my Lightyear profile. Capital at risk. The value of investments can go down as well as up and you may get back less than you invested. Past performance is not a reliable indicator of future results.
Week 1, 3 June 2026. Status: starting line-up live.
So this is day one. I funded the account with $1,000 and bought the combined top-picks list across all four models, Claude, ChatGPT, DeepSeek and Grok. Each model got an equal say, then I averaged every stock's weight across the four and took the top fifteen by combined weight. Where a name appeared in more than one model, I treated that overlap as higher conviction.
For the record, here is what the AI suggested at the outset, grouped by how many of the four models backed each name. Two names landed in all four, the strongest consensus picks at the start: Kratos Defense (KTOS) and Pagaya (PGY). Six sat in three models: IREN (IREN), Willdan (WLDN), Broadcom (AVGO), Vistra (VST), Sable Offshore (SOC) and Orla Mining (ORLA). Four came from two models: Micron (MU), Innodata (INOD), CleanSpark (CLSK) and Microsoft (MSFT). Finally, three were single-model picks: ServiceNow (NOW), T1 Energy (TE) and Zeta Global (ZETA).
As you can see, the book leaned aggressive from day one, with small-cap energy, crypto miners, defence and momentum names, so I expected plenty of volatility. These are names only, with no per-holding amounts or percentages. Therefore there was nothing to rebalance yet, because the experiment had only just begun. Overall direction so far: flat, as expected on day one. Next check: 10 June 2026. You can see the live names on my Lightyear profile. Capital at risk. The value of investments can go down as well as up and you may get back less than you invested. Past performance is not a reliable indicator of future results.
Frequently asked questions
Can AI really turn $1,000 into $10,000?
Almost certainly not, and that is the honest answer. A 10x return is the hook for this AI stock picking experiment, not a forecast. In practice, most active stock-picking underperforms a low-cost index fund over time, so I fully expect this to be hard, and I may lose money.
What broker is this on?
It runs on Lightyear, in a general investment account, using US dollars. I chose it for low costs, including a 0.10% FX fee at the time of writing. Still, low fees do not remove the risk, and nothing here is a recommendation to use any particular broker.
Is this financial advice?
No. This is a personal experiment for curiosity, and I am not a financial adviser. Because everyone's situation differs, you should do your own research or speak to a qualified adviser before investing.
Which AI models are used?
Four of them: Claude, ChatGPT, DeepSeek and Grok. I take their top picks via Dr Lira's AI Finance Labs inside the Autopilot app, then combine them and treat overlaps as conviction. However, I make no performance claims about any of these tools.
How often do you update it?
Weekly. This AI stock picking experiment gets a dated entry in the log above every week, and I refresh the date at the top, whether the line-up changed or stayed the same.
Will you share how much you have made or lost?
Yes, but only in general terms, such as overall direction or total return over time. I will not publish per-holding amounts or percentages. For the live names, see my Lightyear profile.
More from CoolCuration
- Autopilot app review: my closer look at the app the AI picks come from.
- Stocks we bought, May 2026: the monthly diary of what actually went in the basket.
- Lightyear referral explained: how the sign-up offer works before you join.
- Stock Events app: a tidy way to track a portfolio and dividends in one place.
- Freetrade referral code: another commission-free broker if you want to compare.
Disclaimer. This is an opinion-led personal experiment and not financial advice. Rates, fees, offers and terms can change without notice, so always check the provider directly. CoolCuration is not authorised by the Financial Conduct Authority, and nothing here is a personal recommendation. Therefore you should do your own research or consider a qualified financial adviser before investing.
This article contains affiliate or referral links. If you click through and sign up I may earn a commission or referral bonus at no extra cost to you. It does not affect my editorial view.
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