Two scenarios. Three core ETF sleeves. One optional stock watchlist for later. Designed to be boring on the outside and compounding on the inside — works on Robinhood, E*TRADE, Fidelity, Schwab, or any broker that supports fractional shares.
If you don't yet have a 3-6 month emergency fund, build that first — investing on top of an unstable base usually gets sold at the worst time. Once cash reserves are in place, shift to the full-invest scenario.
Half of the contribution shores up cash reserves. The remainder still gets invested so you stay in the market while you build the buffer.
You already have a 3-6 month emergency fund. Every dollar is now compounding — broad market core, with a deliberate AI / semis tilt.
The tickers below are examples, not endorsements — pick one ETF per sleeve and stick with it. Mixing two core funds (e.g. VTI and VOO) just adds tracking noise without diversification.
The foundation. Total US market or S&P 500 exposure — the engine the rest of the plan rides on top of.
Nasdaq-100 or sector-tech exposure. Already overlaps with the core, so this is a deliberate overweight, not an addition.
The picks-and-shovels of the AI buildout. Concentrated by design — small slice, big swings, long-term thesis.
If you want a more explicit AI label on the tech sleeve, you can substitute (not stack) one of these for QQQM/VGT/FTEC. They concentrate harder, have higher fees, and historically lag the broader tech index — so treat them as a flavor choice, not an upgrade.
Set a recurring transfer the day after payday and a recurring buy the morning after. The whole point is that the schedule does the thinking, not you.
Move $100 from checking → brokerage cash. Schedule for the day after payday so it leaves before you can spend it.
Recurring buy: $60 core, $25 tech/AI, $15 semis (or the emergency-first split). Use fractional shares — exact dollars, no leftover cash.
Don't check it. The plan is built for boredom. If you feel the urge to tinker, re-read the disclaimer.
Once a quarter, check that allocations haven't drifted more than ~5 points. Rebalance with the next month's contribution rather than selling.
These are illustrative, not forecasts. Compounding math applied to fixed monthly contributions at the rates below. Markets don't return a smooth number every year — actual results will look bumpier and almost certainly different. Edit any assumption to see the table recalculate.
For each year, the invested portion is grown with the standard future-value-of-an-annuity formula, compounded monthly. The cash sleeve (Scenario A only) uses the same formula at the emergency-yield rate. The two are summed for total balance. Inflation is not applied — these are nominal dollars.
No fees, taxes, dividend re-investment quirks, or sequence-of-returns risk are modelled. Real outcomes will deviate; this is education, not a forecast.
// Future value of monthly contributions, compounded monthly FV(PMT, r, years) { const i = r / 12; const n = years * 12; return PMT * ((1+i)**n - 1) / i; } // Scenario A — split contribution balance = FV($50, r_cash, t) + FV($50, r_inv, t); // Scenario B — full invested balance = FV($100, r_inv, t);
Once the ETF habit is automatic and you're contributing comfortably, you can carve a small satellite sleeve (5-10% of contributions) for individual names. Until then, this is a watchlist — research, not buys.
Custom AI silicon for hyperscalers (Google TPUs, others) plus VMware. Cash-flow heavy, dividend-paying, AI-adjacent without being Nvidia-priced.
The fab everyone in the AI stack — Nvidia, AMD, Apple, Broadcom — depends on. Geopolitical risk is the entire bear case.
Search, YouTube, Cloud, Gemini, Waymo, custom TPUs. Owns its own AI stack end-to-end. Cheapest mag-7 by most multiples.
Llama models, Reality Labs, ad business funding the AI capex. Heaviest spender on AI infrastructure relative to revenue.
Streaming incumbent, ad tier scaling, password-sharing crackdown matured. Less an AI bet, more a quality-compounder ballast.
Parks cashflow + streaming turnaround + IP library. A reversion-and-IP-moat story rather than an AI story. Adds non-correlated flavor.
Before any single name enters the plan, ask: does this add something my ETF sleeves don't already cover? If AVGO, TSM, GOOGL, and META are already top-10 holdings of QQQM and SMH (they are), buying them individually mostly amplifies risk, not return.
Both brokers are commission-free for stocks and ETFs. The differences that matter for this plan are recurring buys, fractional coverage, and how easy it is to leave the plan alone after setup.
This page is a worked example for personal finance education. It is not personalized investment advice, a recommendation to buy or sell any security, or a solicitation. All projections are hypothetical — they assume smooth, constant annual returns that markets do not actually deliver. Past performance does not guarantee future results; concentrated tech and semiconductor exposure can lose value rapidly. Tax treatment, account types (taxable vs. IRA vs. Roth IRA), and platform features change — verify current rules with the broker and, if it matters, a licensed advisor or tax professional. Tickers listed are illustrative; the author has no position in or relationship with any of the issuers mentioned.