The Global X Artificial Intelligence & Technology ETF seeks to correspond generally, before fees and expenses, to the price and yield performance of the Indxx Artificial Intelligence & Big Data Index. The index targets companies positioned to benefit from the development and utilization of artificial intelligence (AI), as well as companies providing hardware used to analyze large datasets.
AIQ is index-tracking rather than actively managed, with a net expense ratio of 0.68% and assets under management (AUM) of roughly $10 billion. The portfolio holds approximately 90 securities and is heavily weighted to information technology, with secondary exposure to communication services and consumer discretionary. The underlying index is concentrated in semiconductors and semiconductor equipment, and country allocations extend beyond the United States to South Korea, Taiwan, China, and Germany. I also checked this using Tickeron’s AI Screener to see how the fund stacks up against similar thematic vehicles.
Recent top holdings include SK Hynix, Micron Technology (MU), Advanced Micro Devices (AMD), Intel (INTC), Samsung Electronics, Cisco Systems (CSCO), Taiwan Semiconductor Manufacturing (TSM), Apple (AAPL), Broadcom (AVGO), and NVIDIA (NVDA). This structure gives the fund broad AI sector exposure, but with a pronounced memory-chip and semiconductor tilt rather than an outsized bet on any single mega-cap platform.
The AI and big-data theme has shifted from broad enthusiasm toward a more selective emphasis on hardware economics, enterprise adoption, and the durability of infrastructure spending. Data center investment continues to support demand for accelerators, networking equipment, and memory, while cloud providers and enterprises focus increasingly on efficiency and return on invested capital. This environment favors semiconductor suppliers with exposure to memory and connectivity, but also leaves the group sensitive to changes in capital-spending plans and cyclical demand.
The macroeconomic environment matters for valuation. Interest-rate expectations and inflation data influence how investors price long-duration, growth-oriented technology assets, while policy developments such as export controls and AI governance add another layer of uncertainty. Sector leadership has accordingly rotated among memory producers, logic-chip manufacturers, software platforms, and networking companies, contributing to periodic swings in thematic ETF performance.
Over the past 30 days, AIQ has gained about 5.0%, moving from a closing price near $61.12 to roughly $64.20. The trailing three-month result is a more modest advance of approximately 2.8% from near $62.43. These headline moves, however, understate the path: the ETF rose to about $70 in early June, declined to roughly $56 by late July, and then rebounded. The V-shaped pattern is consistent with the elevated volatility of a concentrated, semiconductor-heavy AI portfolio. From what I see, this kind of swing is typical for funds with heavy memory exposure.
The rebound has been supported by strength in several of the fund's largest positions, particularly memory-chip producers. Because SK Hynix, Micron, Samsung Electronics, and AMD together account for a meaningful share of the portfolio, shifts in memory pricing and AI-hardware demand tend to dominate short-term fund performance. NVIDIA's comparatively modest weight means AIQ is not a pure proxy for that single stock; instead, it spreads exposure across chips, networking, software, and internet platforms, which can reduce single-name risk while preserving sector-level volatility.
AIQ's trajectory in 2026 will likely depend on several structural factors. The memory-chip cycle—including demand for the high-bandwidth memory used in AI servers—remains central because of the fund's large exposure to SK Hynix, Micron, and Samsung Electronics. Semiconductor earnings reports and cloud-provider capital-expenditure guidance will also signal the pace of AI infrastructure investment.
Monetary policy and inflation data should continue to shape valuations for growth-oriented technology stocks, while AI governance and export-control measures could affect demand and supply chains across the portfolio. Fund flows and sector rotation warrant attention as well, since thematic ETFs can experience sharp swings when investor sentiment shifts. These factors do not determine future returns, but they define the conditions most likely to influence AIQ's performance and industry outlook in the months ahead.
When analyzing thematic ETFs like AIQ, I often turn to Tickeron’s AI Screener for additional context on sector trends and comparable holdings. It scans thousands of securities with technical indicators, fundamentals, and customizable filters, helping streamline the review process without replacing core due diligence.
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My name is Jimmy, and I’m a financial analyst. I’m passionate about identifying the most promising ETFs for trading. Every day, I review hundreds of ETFs in search of trading and investment signals based on a variety of factors. I actively use technical analysis to identify short-term opportunities, including channels, indicators, support and resistance levels, and more. I also spend a great deal of time researching ETFs from a long-term investment perspective. My goal is to build a balanced ETF portfolio that combines investment-oriented and speculative ETFs and performs effectively during both market rallies and corrections.
AIQ moved above its 50-day moving average on August 07, 2026 date and that indicates a change from a downward trend to an upward trend. In of 29 similar past instances, the stock price increased further within the following month. The odds of a continued upward trend are .
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where AIQ's RSI Indicator exited the oversold zone, of 22 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Momentum Indicator moved above the 0 level on August 19, 2026. You may want to consider a long position or call options on AIQ as a result. In of 80 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for AIQ just turned positive on August 03, 2026. Looking at past instances where AIQ's MACD turned positive, the stock continued to rise in of 44 cases over the following month. The odds of a continued upward trend are .
The 10-day moving average for AIQ crossed bullishly above the 50-day moving average on August 14, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where AIQ advanced for three days, in of 355 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 60 cases where AIQ's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AIQ declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
AIQ broke above its upper Bollinger Band on August 04, 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.
The Aroon Indicator for AIQ entered a downward trend on August 07, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a market-cap-weighted index of developed-market equities involved in artificial intelligence & big data.
Category Technology