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Apr 16, 2026

Invesco Semiconductors ETF (PSI): Positioned for AI-Driven Growth in a $1 Trillion Market

Key Takeaways

  • Surging artificial intelligence (AI) demand is projected to propel global semiconductor revenues toward $1 trillion by 2026, benefiting PSI's focused exposure.
  • Lower interest rates could enhance valuations for PSI's growth-oriented holdings in chip design and manufacturing.
  • Strong fund inflows into semiconductor ETFs, including over $183 million for PSI recently, signal sustained investor interest in AI themes.
  • Quarterly index rebalances in February, May, August, and November may incorporate high-momentum semiconductor names, refreshing portfolio positioning.
  • Memory chip price surges, potentially up 125% in 2026, offer upside for holdings like Micron Technology (MU).
  • Geopolitical tensions and supply chain disruptions remain key risks to the sector's global footprint.

Portfolio Exposure and ETF Strategy Overview

One thing that stands out about the Invesco Semiconductors ETF (PSI) is how it tracks the Dynamic Semiconductor Intellidex Index, a quantitatively driven benchmark of 30 U.S. semiconductor companies. These are selected and weighted based on factors like price momentum, earnings momentum, quality, management action, and value. This smart beta approach targets capital appreciation by focusing on firms engaged in semiconductor manufacturing, from design to equipment.

I also checked the top holdings using Tickeron’s AI Screener to compare them within the industry. Recent data shows KLA Corporation (KLAC) at 5.23%, Advanced Micro Devices (AMD) and Broadcom (AVGO) at 5.09% each, Texas Instruments (TXN) at 4.87%, Applied Materials (AMAT) and NVIDIA (NVDA) at 4.84% each, Lam Research (LRCX) at 4.68%, Micron Technology (MU) at 4.33%, and Tower Semiconductor Ltd. at 4.07%. Sector allocation leans heavily toward technology at 97.19%, with minor industrials exposure at 2.81%. Geographically, it centers on U.S.-listed firms, though some have international operations.

With assets under management (AUM) around $1.54 billion and a net expense ratio of 0.56%, PSI provides concentrated exposure to the semiconductor lifecycle. This positions it to capture upside from AI infrastructure buildout and chip innovation, while introducing risks from sector concentration. Its equal-weighted-like structure via the Intellidex methodology promotes diversification beyond mega-caps, which could enhance performance in this cyclical industry.

Major Catalysts Ahead

From what I see, AI capital expenditures from hyperscalers like Microsoft (MSFT) and Amazon (AMZN)), forecasted at over $650 billion, will drive demand for advanced chips and equipment in PSI. Rising memory prices—potentially 125% higher in 2026 due to supply constraints—could boost revenues for MU and peers.

Federal Reserve interest rate decisions remain pivotal; anticipated cuts would lower borrowing costs for capex-heavy semis, supporting multiple expansion. Earnings seasons for top holdings like NVDA and AMD will provide visibility into AI order backlogs. Quarterly index rebalances could shift weights toward outperformers amid sector rotation.

Policy shifts, such as U.S. CHIPS Act funding extensions or trade restrictions on China, may impact supply chains but also spur domestic production. Robust ETF inflows, mirroring sector enthusiasm, could amplify price momentum if AI narratives persist.

Sector, Index, and Macroeconomic Outlook

The semiconductor sector outlook remains robust, with 18% growth to nearly $917 billion in 2026, propelled by AI chips comprising a significant revenue share. This aligns directly with PSI's index, which favors momentum leaders in design (NVDA, AMD), fabrication equipment (AMAT, LRCX), and memory (MU).

In my view, macro forces like moderating inflation and potential rate cuts favor high-growth semis, which are historically sensitive to discount rates. Economic expansion supports data center and edge computing demand, while a slowdown could pressure cyclical end-markets like consumer electronics. Global trade dynamics, including U.S.-China tensions, add volatility but underscore onshoring trends benefiting U.S.-focused PSI.

Equity market rotations toward value may challenge semis' premiums, yet AI's structural tailwinds—projected server/network growth at 11.6% annually—position the index for outperformance.

Trend Prediction Engine

One tool I rely on for short-term insights is Tickeron’s Trend Prediction Engine, an AI-powered forecasting tool that helps identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It spots developing trends, evaluates possible breakouts or reversals, and covers predictions across tradable instruments, including ETFs and sectors. Incorporating historical context and alerts, it aids timely decisions. I use it to gauge momentum in assets like PSI during volatile conditions.

Long-Term Outlook and Structural Trends

I’m watching how long-term semiconductor growth will hinge on AI adoption, projected to drive half of industry revenues by 2026, alongside electric vehicles, 5G/6G rollout, and IoT expansion. Demographic shifts toward digital economies and data-intensive applications bolster demand for PSI's holdings.

Economic cycles will test resilience, but technological leaps in advanced nodes and high-bandwidth memory sustain innovation. Interest rate normalization post-AI capex peaks could moderate growth, yet market structure evolution—favoring smart beta indices like Intellidex—enhances PSI's adaptability. Global investment flows into U.S. tech infrastructure, amid onshoring, support a constructive trajectory for the underlying index and major constituents.

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

Related Ticker: PSI

Aroon Indicator for PSI shows an upward move is likely

PSI's Aroon Indicator triggered a bullish signal on May 14, 2026. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 305 similar instances where the Aroon Indicator showed a similar pattern. In of the 305 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where PSI advanced for three days, in of 345 cases, the price rose further within the following month. The odds of a continued upward trend are .

Bearish Trend Analysis

The RSI Indicator demonstrates that the ticker has stayed in the overbought zone for 10 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 10 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where PSI declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .

PSI broke above its upper Bollinger Band on May 08, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Broadcom Inc. (NASDAQ:AVGO), Lam Research Corp (NASDAQ:LRCX), Applied Materials (NASDAQ:AMAT), Texas Instruments (NASDAQ:TXN), KLA Corp (NASDAQ:KLAC), QUALCOMM (NASDAQ:QCOM), Analog Devices (NASDAQ:ADI), Marvell Technology (NASDAQ:MRVL), Lattice Semiconductor Corp (NASDAQ:LSCC).

Industry description

The investment seeks to track the investment results (before fees and expenses) of the Dynamic Semiconductor Intellidex® Index. The fund generally will invest at least 90% of its total assets in securities that comprise the underlying index. The underlying index is composed of common stocks of 30 U.S. semiconductor companies. These companies are engaged principally in the manufacture of semiconductors. The fund is non-diversified.

Market Cap

The average market capitalization across the Invesco Semiconductors ETF ETF is 278B. The market cap for tickers in the group ranges from 1.16B to 5.46T. NVDA holds the highest valuation in this group at 5.46T. The lowest valued company is AOSL at 1.16B.

High and low price notable news

The average weekly price growth across all stocks in the Invesco Semiconductors ETF ETF was -2%. For the same ETF, the average monthly price growth was 30%, and the average quarterly price growth was 100%. TSEM experienced the highest price growth at 30%, while CAMT experienced the biggest fall at -18%.

Volume

The average weekly volume growth across all stocks in the Invesco Semiconductors ETF ETF was -11%. For the same stocks of the ETF, the average monthly volume growth was 3% and the average quarterly volume growth was 18%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 70
P/E Growth Rating: 29
Price Growth Rating: 27
SMR Rating: 64
Profit Risk Rating: 41
Seasonality Score: 50 (-100 ... +100)
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Category Technology

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Address
Powershares Exchange Traded Fund Trust227 E Prairie AveWheaton
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www.invescopowershares.com
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