Analysis from VanEck on July 18, 2026 forecasts the iShares Semiconductor ETF SOXX is positioned to outperform the VanEck Semiconductor ETF SMH through the second half of the year. The projected performance gap is 8%, driven by SOXX’s heavier concentration in companies supplying foundational artificial intelligence infrastructure. The call highlights a growing divergence in semiconductor capital expenditure, with data center and cloud spending accelerating while consumer-facing segments show slower growth.
Context — why this matters now
The last major divergence between these two primary semiconductor ETFs occurred in the first half of 2023, when SOXX outperformed SMH by 11% during the initial wave of hyperscaler AI investment. The current macro backdrop features the Federal Reserve’s target rate at 4.25% and 10-year Treasury yields stabilizing near 4.1%. The catalyst for the renewed performance gap is the confirmed acceleration in AI-related capital expenditure from major cloud providers. Alphabet, Microsoft, and Amazon collectively increased their 2026 capex guidance by an aggregate $40 billion in recent weeks, a figure dedicated almost exclusively to data center buildouts. This spending directly benefits chip designers and manufacturers focused on high-performance computing, a segment where SOXX holds a larger stake.
Data — what the numbers show
SOXX holds 30 semiconductor stocks with a combined market capitalization of $4.2 trillion. SMH tracks 25 holdings with a total market cap of $3.8 trillion. The key differential is portfolio weighting. SOXX allocates 19% of its fund to NVIDIA, compared to SMH’s 25% weighting. The more significant difference lies in exposure to semiconductor capital equipment and design software. SOXX holds a 15% combined weight in Applied Materials, Lam Research, and Synopsys. SMH’s combined weight in these three companies is 9%. Year-to-date through July 15, 2026, the SOXX portfolio has gained 22% versus SMH’s 18% gain. The Philadelphia Semiconductor Index, which SOXX closely tracks, is trading at a forward price-to-earnings ratio of 28, a 15% premium to the S&P 500’s 24.3 multiple.
| Metric | SOXX (iShares) | SMH (VanEck) |
|---|
| Number of Holdings | 30 | 25 |
| Top 5 Holdings Concentration | 44% | 55% |
| Weight in Semiconductor Equipment | 15% | 9% |
| YTD Performance (to 15 Jul 2026) | +22% | +18% |
Analysis — what it means for markets / sectors / tickers
The direct beneficiaries of this forecast are specific tickers within the SOXX portfolio with high AI data center exposure. Applied Materials could see incremental revenue growth of 8% from increased demand for advanced packaging tools. Lam Research may capture a 5% premium in its deposition and etch segment. Within the design software sector, Synopsys and Cadence are positioned to gain 6-7% in licensing revenue as chip design complexity rises. A primary counter-argument is that SMH’s heavier concentration in NVIDIA, the market leader in AI accelerators, could allow it to catch up if NVIDIA’s earnings continue to surprise to the upside. However, recent options flow data shows institutional buyers accumulating August and September call options on SOXX components Broadcom and Advanced Micro Devices at twice the volume of similar bets on SMH components. Net institutional flow into the SOXX ETF has been positive for seven consecutive trading sessions, totaling $1.2 billion.
Outlook — what to watch next
The performance thesis will be tested by two immediate catalysts. Applied Materials reports quarterly earnings on July 24, 2026, with Wall Street forecasting a 12% year-over-year increase in equipment sales. The U.S. Department of Commerce will release its Q2 2026 Advance Report on Durable Goods Manufacturers’ New Orders for semiconductor machinery on August 6. A reading above the consensus estimate of $8.5 billion would reinforce the capex expansion narrative. Technical levels to monitor include SOXX’s 50-day moving average at $620, which has acted as support since May. A sustained break above the $655 resistance level, last tested in June, would confirm the bullish momentum. For SMH, maintaining a price above its 200-day moving average of $245 is critical to prevent a wider performance gap.
Frequently Asked Questions
What is the difference between SOXX and SMH?
The iShares Semiconductor ETF SOXX tracks the ICE Semiconductor Index and holds 30 U.S.-listed companies across the semiconductor value chain. The VanEck Semiconductor ETF SMH tracks the MVIS US Listed Semiconductor 25 Index. The primary differences are holding count and weighting methodology. SOXX employs a modified market-cap weighting with a capping mechanism, leading to a lower concentration in its top holdings. SMH uses a pure market-cap weighting, resulting in over 25% of the fund allocated to NVIDIA alone, making it more sensitive to that single stock's performance.
How does AI spending specifically benefit SOXX more?
SOXX’s portfolio has a larger aggregate exposure to the semiconductor equipment and electronic design automation subsectors. Companies like Applied Materials, Lam Research, KLA, Synopsys, and Cadence are essential for manufacturing and designing the advanced chips needed for AI workloads. These companies benefit from the entire industry's increased capital expenditure, not just from one chip designer. As every major chipmaker, including NVIDIA, AMD, and Intel, ramps up production of new AI processors, they must first purchase more fabrication tools and design software, driving revenue for SOXX’s heavier-weighted ancillary players.
Is there a currency or geographic risk difference between the ETFs?
Both ETFs primarily hold U.S.-listed American Depository Receipts of global semiconductor firms, so direct currency risk is similar. However, there is a subtle geographic revenue exposure difference. SOXX’s higher weighting in capital equipment firms like Applied Materials and Lam Research means more revenue exposure to memory chip manufacturers in South Korea and Taiwan. SMH’s heavier tilt toward pure-play designers like NVIDIA and AMD gives it greater exposure to end-market demand from U.S. and Chinese cloud data centers. This makes SMH slightly more sensitive to U.S.-China trade tensions affecting chip sales.
Bottom Line
The coming semiconductor ETF performance gap is a direct bet on AI infrastructure spending over consumer chip cycles.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.
