Last updated: June 2026
If AI has a supply chain, semiconductors sit at the very top of it. Every large language model, every data center buildout, every AI-optimized server rack runs on chips — and that’s made semiconductor ETFs some of the best-performing funds on the market over the past several years. In 2026 alone, the largest fund in this category has posted year-to-date returns north of 80%.
This guide compares the four semiconductor ETFs investors search for most, breaks down what actually separates them beyond the ticker symbol, and explains the trade-offs between concentration, cost, and diversification in a sector known for sharp boom-and-bust cycles.
Disclaimer: This article is for informational and educational purposes only and does not constitute financial advice. Semiconductor ETFs are concentrated, cyclical, and historically volatile — capable of large gains and large drawdowns within the same year. Past performance does not guarantee future results. Always do your own research and consider speaking with a licensed financial advisor before investing.
Why semiconductors are at the center of the AI trade
The scale of spending flowing into chip demand is hard to overstate. Major hyperscalers — Microsoft, Amazon, Alphabet, Meta, and Oracle — have committed to spending nearly $700 billion combined on capital expenditures in 2026, an 81% increase over the prior year, with the bulk of that spending tied directly to meeting semiconductor demand for AI infrastructure. Industry-wide, global chip sales are projected to approach $1 trillion in 2026, growing at roughly 26% annually, driven heavily by demand for high-bandwidth memory and AI accelerator chips.
That demand has translated directly into ETF performance — but not evenly across funds, because how a fund is built (which companies, and how heavily weighted) matters enormously in a sector this concentrated. (Keep in mind that while chips are the entry point, the broader artificial intelligence landscape includes software giants poised to monetize this infrastructure. You can explore our comprehensive update on the Best AI ETFs Right Now: Top Picks for the Second Half of 2026 to balance your portfolio).
Quick comparison: Top semiconductor ETFs in 2026
| ETF | Issuer | Expense Ratio | AUM | Approx. YTD Return* | Weighting |
|---|---|---|---|---|---|
| SMH (VanEck Semiconductor ETF) | VanEck | 0.35% | ~$84.5B | ~83% | Market-cap (concentrated) |
| SOXX (iShares Semiconductor ETF) | BlackRock/iShares | 0.34% | ~$29.6B | ~78–90% | Market-cap (capped) |
| SOXQ (Invesco PHLX Semiconductor ETF) | Invesco | 0.19% | ~$2.2–2.6B | Tracks SOXX closely | Market-cap (capped) |
| XSD (SPDR S&P Semiconductor ETF) | State Street | 0.35% | ~$3.9B | Higher volatility, mid/small-cap driven | Equal-weight |
Returns as of mid-2026, sourced from fund issuers and third-party data platforms. These figures move daily — always check live data before investing.
1. VanEck Semiconductor ETF (SMH) — Best for concentrated mega-cap exposure
SMH is the largest and currently best-performing of the major semiconductor ETFs. As of June 18, 2026, VanEck’s own data shows the fund managing approximately $84.5 billion in assets, charging a 0.35% expense ratio, and posting a year-to-date return of roughly 83%.
That performance comes with a trade-off: concentration. SMH gives heavier weight to mega-cap names — Nvidia and TSMC alone have accounted for around a quarter of the fund’s holdings at various points. Yahoo Finance’s comparison of the major semiconductor ETFs found SMH delivered a 36% average annual return over the past five years, ahead of SOXX’s roughly 31% average over the same period — but that outperformance is a direct function of how much weight SMH puts on its largest holdings.
Good for: investors who want maximum exposure to the companies most central to the AI buildout, and who are comfortable with the added volatility that concentration brings.
2. iShares Semiconductor ETF (SOXX) — Best for established liquidity and balance
SOXX is the longest-running major semiconductor ETF, launched in 2001, and remains the most heavily traded fund in the category. According to Dividend.com data, SOXX carries a 0.34% expense ratio, manages roughly $29.6 billion in assets, and posted a year-to-date return near 78.5%, with a 5-year average annual return around 31.5%.
What sets SOXX apart structurally is its individual holding caps — the fund’s methodology limits how large any single position can grow relative to the index, which produces a somewhat more balanced portfolio than SMH’s approach. The trade-off, as Yahoo Finance’s comparison notes, is that this balance can come at the cost of upside when one or two stocks (like Nvidia) are driving the bulk of sector gains.
Good for: investors who want a more balanced, liquid, long-track-record fund without betting as heavily on just two or three companies.
3. Invesco PHLX Semiconductor ETF (SOXQ) — Best for low-cost exposure
SOXQ tracks the same underlying index as SOXX — the PHLX Semiconductor Sector Index — and holds essentially the same 30 stocks at similar weights. The difference is cost. According to U.S. News & World Report, SOXQ charges just 0.19%, roughly half of SOXX’s expense ratio, which translates to about $19 in annual fees on a $10,000 investment versus roughly $35 for the pricier alternative.
The catch is liquidity. SOXQ’s AUM sits in the $2.2–2.6 billion range — a fraction of SOXX’s roughly $29.6 billion — which means narrower trading volume and potentially wider bid-ask spreads. For long-term, buy-and-hold investors making periodic contributions, that liquidity gap matters less. For active traders moving large positions, SOXX’s deeper liquidity is often the more practical choice despite the higher fee.
Good for: long-term, buy-and-hold investors who want essentially the same exposure as SOXX, but with lower ongoing costs eating into returns.
4. SPDR S&P Semiconductor ETF (XSD) — Best for diversified, equal-weight exposure
XSD takes a fundamentally different approach than the other three. Rather than weighting holdings by market capitalization, it uses an equal-weight methodology across roughly 44–45 U.S. semiconductor companies, rebalanced quarterly. According to State Street’s own fund data, XSD carries a 0.35% expense ratio and roughly $3.9 billion in AUM.
This structure means smaller and mid-cap semiconductor companies have a much larger influence on XSD’s performance than they do in SMH or SOXX, where a handful of mega-caps dominate. The result has cut both ways: XSD posted a striking 163.65% total return over the trailing year according to stockanalysis.com data, reflecting how broad the AI-driven rally has been across the semiconductor sector — not just among the largest names. Historically, though, this equal-weight approach has tended to lag market-cap-weighted funds like SMH and SOXX over multi-year periods, since it systematically trims winners during rebalancing rather than letting them run.
Good for: investors who want exposure to the broader semiconductor industry — including smaller, faster-growing names — rather than concentrating in the same five or six companies that dominate the other three funds.
How these funds actually differ, side by side
The core distinction across all four funds comes down to one question: how much do you want your returns tied to Nvidia, TSMC, and a small handful of other giants?
- Most concentrated (highest mega-cap weight): SMH
- Moderately concentrated, with caps: SOXX and SOXQ (same portfolio, different cost)
- Least concentrated (true diversification within the sector): XSD
Higher concentration has driven SMH’s strongest recent returns, but it also means SMH would likely fall hardest in a semiconductor-specific downturn. Historical data bears this out: across 2022’s rate-hike-driven selloff, SOXX fell roughly 45% and SMH fell roughly 44% — a reminder that «AI infrastructure» exposure can swing dramatically in both directions within a single year.
The risk side of semiconductor investing
Semiconductors are one of the most cyclical sectors in the market, and that cyclicality predates the AI boom by decades:
- Boom-bust history is well documented. The sector has seen both 50%+ annual gains and 40-45% annual losses within recent years, driven by shifts in rate policy, inventory cycles, and demand forecasts.
- A handful of companies drive most of the sector’s returns. Nvidia and TSMC alone have represented roughly a quarter of some funds’ holdings — meaning a single disappointing earnings report from either company can meaningfully move the entire fund.
- Valuations are elevated. With chip demand forecasts baking in years of continued AI infrastructure spending, a slowdown in hyperscaler capex — even a modest one — could trigger an outsized correction in this sector specifically.
- Expense ratios compound over time, even at levels that look small on paper. The gap between SOXQ’s 0.19% and SOXX’s 0.34% may seem trivial in any single year, but compounds meaningfully over a 10-20 year holding period.
So which semiconductor ETF should you choose?
- Want maximum AI-chip concentration and have a higher risk tolerance? → SMH offers the most direct exposure to the companies leading AI hardware demand.
- Want a long track record with somewhat more balance? → SOXX remains the most liquid, established choice.
- Want essentially the same exposure as SOXX at a lower ongoing cost, and don’t need maximum liquidity? → SOXQ.
- Want true diversification across the semiconductor industry, including smaller names beyond the usual mega-caps? → XSD, accepting that it has historically lagged cap-weighted funds during strong bull runs.
Frequently asked questions
Is it too late to invest in semiconductor ETFs given how much they’ve already risen? No one can answer that with certainty, and any source claiming otherwise should be treated with skepticism. What’s measurable is that valuations across the sector have risen substantially, which increases both potential reward and potential downside relative to a few years ago.
What’s the difference between a semiconductor ETF and a broader AI ETF like AIQ? Semiconductor ETFs concentrate specifically on chip designers and manufacturers — the hardware layer of AI. Broader AI ETFs like AIQ also include software, cloud computing, and big data companies, giving exposure across more of the AI value chain rather than just the hardware feeding it.
Should I hold more than one semiconductor ETF at once? Generally, this adds limited diversification value. SMH, SOXX, and SOXQ overlap heavily in their largest holdings, so combining them mostly increases your exposure to the same handful of companies rather than spreading risk. Pairing a concentrated fund like SMH with an equal-weight fund like XSD provides more genuine diversification than combining SMH with SOXX or SOXQ.