Investing & Dividends Misleading — the headline number is real but unrepresentativ

By the Income Reality Check Editorial Team · Updated 2026-05-14 · 7 min read

Quantum computing ETFs as a ‘major buy’: what the math actually shows

Verdict: Misleading — the headline number is real but unrepresentative. The tickers, expense ratios, and one-year returns are accurate. The 350% semiconductor analogy and “major buy” framing skip past price-to-sales ratios above 100 and a commercial timeline the world’s biggest chipmaker still measures in years, not quarters.

In “🚨MAJOR BUY: Best Quantum Computing ETF on the Planet 📈,” Nolan Goa — better known as Professor G on the Investing Simplified channel — tells viewers they can ride quantum computing the same way they could have ridden semiconductors with SMH for a 350% five-year return. He runs through six funds, headlining the WisdomTree Quantum Computing Fund (WQTM). He’s right about the tickers, the expense ratios, and the trailing returns. He’s not wrong that quantum is a real research field with real money behind it. He just leaves out the part where the headline names inside these funds trade at sales multiples that would have looked rich in 1999.

What the video actually claims

Goa frames the pitch as a “ground floor” opportunity in a technology that, like AI a few years ago, will eventually break out. Rather than picking a single quantum stock, he argues, viewers should buy a basket. He then walks through the menu. The Defiance Quantum ETF (QTUM) is the largest and oldest, with an 0.40% expense ratio, roughly 86 holdings, and an “average return of about 25% per year” since inception, plus an 80% run in the last year. The WisdomTree WQTM is his top pick, with a 0.45% expense ratio, around 41 holdings, and roughly 40% of fund weight concentrated in the top 10, including IonQ, Rigetti, and D-Wave. He also covers two UCITS-domiciled funds (iShares QT and VanEck QNTM) for viewers outside the U.S., the iShares Future AI & Tech ETF (ARTY) at a 0.47% expense ratio and up about 100% over the past year, the WisdomTree AI & Innovation Fund (WTAI), and the Roundhill Memory ETF (DRAM), up 68% year-to-date.

The “proof” is past performance — the SMH semiconductor analogy at the open, then the trailing one-year numbers on each fund. The implicit promise is that quantum is the next AI and these baskets are the cleanest way to capture it. Goa adds the usual disclaimer (“higher risk… pre-profit… not financial advice”), and to his credit he’s blunt that WQTM has less than a year of trading history. The framing of the video, though, is unambiguous: a “MAJOR BUY” call, not a “watch this space.”

What the pitch leaves out

Three things. Price, timeline, and the survival math on thematic funds.

On price, the quantum pure plays driving WQTM, QT, and QNTM trade at valuations that have no comparable precedent in modern tech. Coverage of the May 2026 rally noted that IonQ and D-Wave Quantum were sporting trailing 12-month price-to-sales ratios of roughly 116 and 311. Rigetti, on the same metric, has been reported above 1,000. For context, The Motley Fool’s recent analysis flagged that the dot-com era darlings — Microsoft, Cisco, Amazon — peaked at P/S multiples in the 30 to 50 range. The companies are also still small in absolute terms: IonQ reported full-year 2025 revenue of about $130 million; Rigetti’s was roughly $7 million; D-Wave’s about $24 million. Those are the businesses on which WQTM places about 40% of its weight.

On timeline, the most important quote in the room belongs to Jensen Huang. In January 2025, Nvidia’s CEO told an audience at CES that “very useful” quantum computers were probably 15 to 30 years out — a comment CNBC reported sent IonQ down 39% and Rigetti down 45% in a single session. He later walked it back, calling quantum “near an inflection point,” and Nvidia has since launched open-source quantum tooling that helped fuel the 2026 rally. Both statements can be true at once: the science is accelerating, and “useful at scale” is still a multi-year project. Treating either pole as settled is the bet a buyer of a concentrated quantum ETF is making.

On survival, the broader thematic-ETF data is sobering. Morningstar’s Global Thematic Fund Landscape Report 2025 found that over a three-year period ending June 2024, only 9% of U.S. thematic funds outperformed global equities, and over longer windows the success rate sits between 15% and 18%. In Europe, 68% of thematic funds that existed in mid-2009 had closed by mid-2024. Add to that the regulator’s own framing: the SEC’s investor bulletin on ETFs reminds retail buyers that ETFs are not insured, that volatility is higher in narrower funds, and that expense ratios drag returns whether the fund wins or loses. WQTM’s 0.45% fee is not exorbitant for a thematic, but it’s roughly nine times what a buyer pays for a total-market index fund — that gap compounds.

Here’s how the headline funds compare on what actually matters for a long hold:

DRAM is its own story. CNBC called it “the hottest ETF since bitcoin-mania” after the fund pulled in roughly $1 billion in a single day, with three names — SK hynix, Samsung Electronics, and Micron — making up about 73% of holdings. That is not a diversified bet on AI infrastructure; that is a leveraged opinion on three memory makers and the DRAM cycle.

Who actually wins this game

With investing content the question isn’t “who builds an audience”; it’s “who pockets the gains.” On thematic ETFs, the consistent winners are three groups. The asset manager — WisdomTree, BlackRock, Defiance — collects the expense ratio regardless of fund performance, and that has been the most reliable line item. Early entrants who bought QTUM in 2018 or 2019 and held through the AI wave have done genuinely well — the fund’s 8-year track record is real. Traders who treat these funds as sentiment vehicles (buy when quantum is hated, trim into Huang-style euphoria) can capture chunks of the swings.

The group that historically loses is the one this kind of video tends to attract: a viewer who buys near a sentiment peak, sized like a long-term position, on a fund that’s less than a year old. The Morningstar data isn’t ambiguous on this — fresh thematic launches following hot themes are the worst slice of an already-tough category.

What you’d realistically earn

Goa’s implicit ask is that a buyer extrapolate WQTM’s recent run, ARTY’s roughly 100% year, or QTUM’s 80% year forward. The plain reading of valuation and history doesn’t support that. For a long-horizon holder of a basket like WQTM, the realistic forward distribution is wide and skewed: a small probability of a multi-bagger if a handful of pure plays achieve commercial fault-tolerant systems within five to seven years, paired with a non-trivial chance of a 50-to-80% drawdown if the quantum trade unwinds the way the post-2021 clean-energy and genomics trades did. A diversified buyer with a 5- to 10-year window might expect this kind of fund to either dramatically outperform or dramatically underperform a total-market index — “match it” is the least likely outcome. U.S. News & World Report’s 2026 round-up makes the same point in milder language: these are satellite, not core, positions.

If you’ve been following our 4 stocks to buy now (May 2026) coverage, the contrast is useful — single-name picks at least let you size and exit individually. A concentrated thematic ETF gives you a basket but also marries you to the sentiment cycle of the whole theme.

Who this is (and isn’t) for

This kind of position makes sense for an investor who already has a fully funded retirement account in broad index funds, is investing money they can afford to see cut in half without changing their life, and treats the allocation as a 1% to 5% “moonshot” sleeve held with a 5- to 10-year window. The investor should be comfortable not checking the price for months at a time, because the daily volatility will be brutal — the same way the dividend portfolio piece we reviewed described drawdowns most retail investors won’t actually sit through.

It’s a poor fit for anyone using money that has a job in the next three years (down payment, tuition, an emergency fund), anyone who tends to size positions based on recent returns, or anyone who would feel obligated to sell into a 60% drawdown. It’s also a poor fit for an investor who interprets “the creator picked WQTM” as research — a fund less than a year old has no track record to evaluate, and the SEC’s own materials are explicit that prospectus and holdings review are the floor, not the ceiling, of due diligence.

What to remember

The video isn’t a scam. The ETFs are real, the expense ratios are competitive for the category, and the trailing returns are accurate. What the “MAJOR BUY” framing skips is that the underlying companies are pre-profit and trading at sales multiples that have, historically, preceded sharp drawdowns. The semiconductor analogy works in reverse, too — SMH’s 350% came after the AI use case became commercial. Quantum’s hasn’t, yet. That’s the difference between a satellite position sized like one and a “major buy” sized like a conviction.

View counts, ETF prices, and expense-ratio figures shift quickly; the numbers cited reflect data available at the time of review and may have moved since.