AIQ vs VGT: Thematic Global AI Exposure or Low-Cost U.S. Technology Sector Access?

Key Takeaways

• AIQ is a thematic, globally diversified fund targeting artificial intelligence and big data, while VGT is a broad, low-cost U.S. information technology sector fund.
• VGT is significantly cheaper, with an expense ratio of 0.09% versus 0.68% for AIQ, a meaningful long-term cost gap.
• AIQ holds roughly 84–88 names across multiple geographies and industries, whereas VGT holds more than 300 stocks but remains heavily concentrated in three mega-cap names.
• VGT is nearly 100% U.S.-listed technology exposure, while AIQ allocates roughly 25–30% of assets outside the United States.
• Both funds are passively managed index trackers, but they serve different goals: targeted AI exposure versus diversified sector exposure.

Why These Two ETFs Stand Out Right Now

Artificial intelligence has become one of the defining investment themes of the current market cycle, driving demand for both dedicated thematic products and broad technology sector funds. The Global X Artificial Intelligence & Technology ETF (AIQ) and the Vanguard Information Technology ETF (VGT) sit at the intersection of this trend, yet they are built for different purposes. AIQ offers concentrated, global exposure to companies developing and applying AI and big data. VGT, by contrast, provides diversified, low-cost access to the entire U.S. information technology sector. This comparison examines the structural differences, sector exposure, cost profiles, and relative positioning of the two funds.

Getting Familiar with the Global X Artificial Intelligence & Technology ETF (AIQ)

AIQ is a passively managed, non-diversified thematic fund that seeks to track the Indxx Artificial Intelligence and Big Data Index. Launched in May 2018, it invests in companies positioned to benefit from the development and application of AI, including hardware, software, cloud infrastructure, and data-driven platforms. The fund holds roughly 84 to 88 securities, with top positions recently including PLTR, MSFT, ORCL, TSLA, META, AMZN, GOOGL, NVDA, AMD, and AVGO. I also checked this using Tickeron’s AI Screener to see how the holdings compare across the broader industry.

Sector allocation is technology-led but meaningfully diversified: technology represents roughly 70% of assets, with communication services near 12–13%, consumer cyclical around 8–9%, and industrials about 7%. Geographically, the fund is approximately 70% U.S.-weighted, with notable exposure to Taiwan, South Korea, China, and Europe through companies such as Taiwan Semiconductor and Samsung Electronics. Its expense ratio is 0.68%, and because the strategy reaches beyond pure technology, its risk profile can diverge from a narrowly defined sector fund.

A Closer Look at the Vanguard Information Technology ETF (VGT)

VGT is a passively managed, market-cap-weighted fund that tracks the MSCI US Investable Market Information Technology 25/50 Index. Launched in January 2004, it is one of the largest and most established technology sector ETFs, holding more than 300 stocks spanning large-, mid-, and small-cap U.S. technology companies. The portfolio is heavily concentrated, with the top three holdings—NVDA, AAPL, and MSFT—together accounting for roughly 40–45% of assets. Additional top positions include AVGO, MU, AMD, CSCO, PLTR, INTC, and LRCX.

Sector exposure is essentially pure technology, at roughly 99% of assets, with semiconductors, systems software, and technology hardware as the dominant sub-industries. The fund is almost entirely U.S.-listed, with U.S. equities representing around 96–99% of holdings. Its expense ratio is just 0.09%, making it one of the lowest-cost vehicles for broad technology exposure. This cost advantage, combined with deep liquidity and a long operating history, makes VGT a core holding for many investors seeking sector exposure rather than a targeted theme.

The Industry and Thematic Context

Both ETFs sit within the broader technology and AI investment complex, which has been shaped in recent quarters by sustained capital expenditure on data centers, semiconductor demand, and the rapid commercialization of generative AI. Chipmakers and cloud providers have been primary beneficiaries, supporting names common to both funds. At the same time, elevated valuations, regulatory scrutiny of large technology platforms, and geopolitical tensions over semiconductor supply chains remain key risks. Interest rate expectations also matter: technology equities are sensitive to the discount rate applied to future earnings, so shifts in monetary policy can amplify volatility across both funds. Within this environment, thematic AI funds and broad technology funds have often moved together, but their diverging holdings can produce different return profiles across market cycles.

Performance and Positioning Insights

In recent market cycles, both AIQ and VGT have participated strongly in the AI-driven rally, reflecting shared mega-cap holdings and a common technology bias. VGT's fund performance has been reinforced by its heavy concentration in semiconductor and mega-cap leaders, while AIQ's relative positioning has been shaped by its broader, more global footprint and its inclusion of communication services, consumer cyclical, and industrial names. This means AIQ can behave differently when non-U.S. markets, cloud software, or EV-related holdings outperform or lag the domestic semiconductor complex. On volatility, both funds carry elevated beta relative to the broader equity market, but VGT's near-total technology concentration and top-heavy structure can make it more sensitive to single-stock moves in its largest positions. AIQ's wider diversification, including meaningful non-U.S. exposure, has historically tempered some of that single-name risk while introducing currency and regional dynamics absent from VGT. From what I see, the differences in geographic reach and concentration levels are worth monitoring closely over the next few quarters.

Using Tickeron’s AI Screener in My Research

In my own analysis, I often rely on Tickeron’s AI Screener to quickly filter technology and AI-related ETFs and stocks. The tool lets me scan for patterns, fundamentals, and performance metrics across thousands of securities, which helps confirm how holdings in funds like AIQ and VGT stack up against peers. It has become a practical part of refining watchlists without spending hours on manual comparisons.

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

Notable companies

Industry description

Market Cap

High and low price notable news

Volume