PSI vs SOXX: Weighing the Differences in Semiconductor ETF Strategies

Key Takeaways

• Different construction methods: PSI uses a quantitative "Intellidex" selection model, while SOXX passively tracks a modified market-cap-weighted index.
• Distinct size tilts: PSI holds meaningful mid- and small-cap exposure, whereas SOXX is overwhelmingly concentrated in large-cap semiconductor leaders.
• Cost gap: SOXX is significantly cheaper, with an expense ratio of roughly 0.33% versus about 0.55% for PSI.
• Scale and liquidity: SOXX is one of the largest semiconductor ETFs by assets and trading volume, while PSI is a smaller, more niche vehicle.
• Risk profile: Both are high-beta, non-diversified funds, but PSI's smaller-cap tilt tends to amplify volatility relative to SOXX.
• Same theme, different tools: Both funds offer concentrated semiconductor sector exposure, making them substitutes for investors rather than distinct strategies.

Introduction

The Invesco Dynamic Semiconductors ETF (PSI) and the iShares Semiconductor ETF (SOXX) are two of the most closely watched ways to gain concentrated exposure to the U.S. semiconductor industry, a sector at the center of the artificial intelligence (AI) boom, data-center buildouts, and global supply-chain realignment. Although both funds target essentially the same market segment, they are built very differently. PSI relies on a quantitative model to select and weight holdings, while SOXX tracks a rules-based, modified market-capitalization index. For investors deciding where to deploy capital, the choice comes down to cost, concentration, and how much mid-cap or small-cap risk they are willing to accept. I also checked this using Tickeron’s AI Screener to see how the two compare on key metrics.

Understanding the Invesco Dynamic Semiconductors ETF (PSI)

PSI seeks to track the Dynamic Semiconductor Intellidex Index, a benchmark assembled using a quantitative, multi-factor model that evaluates U.S. semiconductor companies on criteria such as price momentum, earnings, and valuation. The fund is non-diversified and generally holds roughly 30 to 33 stocks, giving it a concentrated profile within an already narrow industry.

The portfolio's top holdings have included AMD, TXN, INTC, ADI, and MU, alongside semiconductor-equipment names such as AMAT, KLAC, and LRCX. Unlike many peers, PSI carries a notable allocation to mid-cap and small-cap chipmakers, with the top 10 positions typically representing only about half of assets. Its expense ratio is approximately 0.55%, reflecting its more active, model-driven rebalancing approach rather than pure index replication. From what I see, this structure can appeal when smaller names start to outperform.

Diving into the iShares Semiconductor ETF (SOXX)

SOXX seeks to track the NYSE Semiconductor Index, a modified market-capitalization-weighted benchmark of roughly 30 U.S.-listed semiconductor companies. To prevent excessive concentration, the index caps the largest positions, a structure that still leaves the fund heavily oriented toward the industry's biggest names. SOXX is non-diversified and passively managed by BlackRock's iShares unit.

Its largest holdings have included AMD, NVDA, INTC, MU, and AVGO, with MRVL, QCOM, ADI, TXN, and TSM also among the top positions. The top 10 names typically account for more than 60% of the portfolio, and large-cap stocks make up nearly all of the fund. SOXX charges an expense ratio of about 0.33%, and its multi-billion-dollar asset base and deep daily trading volume give it strong liquidity for both institutional and retail investors. I’m watching this closely because the lower cost and liquidity often make it a practical default choice.

The Semiconductor Industry Context

Both ETFs sit at the intersection of several powerful forces shaping the semiconductor market. Demand for AI accelerators, graphics processing units (GPUs), and high-bandwidth memory has driven strong capital spending among hyperscale cloud providers, while the buildout of data-center infrastructure has lifted chip designers, memory producers, and semiconductor-equipment suppliers alike. At the same time, the industry remains cyclical: memory pricing, consumer-electronics demand, and inventory levels across industrial and automotive end-markets can swing sharply.

Geopolitics is a persistent variable as well. Export controls on advanced chips and manufacturing equipment, along with efforts to onshore fabrication capacity in the United States and Europe, continue to reshape supply chains. Regulatory developments and government incentives for domestic chip production have supported equipment and foundry-adjacent names, but they also introduce headline risk. Within this environment, both PSI and SOXX offer pure-play exposure, meaning their fortunes rise and fall with the semiconductor cycle rather than with the broader technology sector.

How PSI and SOXX Compare in Performance and Positioning

In recent market cycles, SOXX and PSI have generally moved in the same direction, reflecting their shared sector exposure, but with meaningful differences in magnitude. SOXX's large-cap tilt has made it more sensitive to the performance of mega-cap chip leaders tied to AI infrastructure, so periods of strength in those names tend to support the fund. PSI's mid- and small-cap holdings have historically introduced greater volatility, as smaller semiconductor firms often react more sharply to shifts in demand, inventory, and interest-rate expectations.

Cost also plays a structural role in relative positioning: SOXX's lower expense ratio gives it a built-in, albeit modest, annual advantage before performance differences are even considered. On a risk-adjusted basis, SOXX's heavier concentration in well-capitalized leaders has tended to produce somewhat steadier behavior, while PSI's broader, smaller-cap footprint offers more potential upside when the sector's laggards catch a bid during cyclical recoveries.

Exploring Tickeron’s AI Tools for ETF Analysis

I often turn to Tickeron’s AI Screener when comparing sector funds like these. The tool lets me quickly filter semiconductor names by market cap, technical patterns, and AI-driven signals, helping me see how PSI’s broader exposure stacks up against SOXX’s large-cap focus in real time. It’s become a regular part of my process for narrowing down which vehicle better matches a given market environment.

Disclaimer

The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.

Disclaimers and Limitations

Contributor

Scott Bell|Expert

I’m a trader and independent researcher. My interest lies at the intersection of financial markets, algorithms, and capital management. I develop data-driven tools and strategies and study algorithmic approaches to market analysis. I help turn complex market data into clear insights and practical systems. I believe technology should support, not replace, investment thinking

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