AIQ vs CHAT

Key Takeaways

• AIQ is a passively managed, index-tracking fund offering broad, diversified exposure across the wider artificial intelligence and big-data value chain.
• CHAT is an actively managed, concentrated fund targeting the narrower generative AI theme, with a smaller portfolio of roughly 40–45 holdings.
• Cost structures are close: AIQ charges a 0.68% net expense ratio versus 0.75% for CHAT, reflecting CHAT's active management.
• Both funds are heavily weighted to large-cap technology, but CHAT carries a more concentrated profile with greater single-stock sensitivity.
• AIQ spans more than 90 holdings and multiple sectors, while CHAT focuses its exposure more tightly on semiconductors, software, and hyperscale platforms.
• The two ETFs overlap in core mega-cap names but serve different investor goals: broad AI exposure versus high-conviction generative AI positioning.

Introduction

Investors seeking exposure to the artificial intelligence boom increasingly face a choice between broad, diversified thematic funds and more concentrated, actively managed vehicles. The Global X Artificial Intelligence & Technology ETF (AIQ) and the Roundhill Generative AI & Technology ETF (CHAT) sit on opposite sides of that spectrum. They do not compete directly as identical products; rather, they offer alternative approaches to the same overarching investment theme. AIQ provides a wide net across the AI and big-data ecosystem, while CHAT pursues a high-conviction, active strategy centered on generative AI. Understanding these structural differences is essential for anyone comparing sector exposure and relative positioning in this fast-moving corner of the market.

Global X Artificial Intelligence & Technology ETF (AIQ) Overview

AIQ is a passively managed exchange-traded fund (ETF) that tracks the Indxx Artificial Intelligence & Big Data Index. The fund invests at least 80% of its total assets in securities of that underlying index, which is designed to capture companies involved in the development and utilization of AI and big data. With roughly 90 holdings, AIQ offers a relatively diversified footprint across the AI value chain.

Its largest positions include PLTR (Palantir Technologies), MSFT (Microsoft), TSLA (Tesla), META (Meta Platforms), AMZN (Amazon), ORCL (Oracle), GOOGL (Alphabet), AAPL (Apple), and NVDA (NVIDIA). From a sector standpoint, technology dominates at roughly 70% of assets, with meaningful allocations to communication services, consumer discretionary, and industrials. The fund carries a net expense ratio of 0.68% and was launched in 2018, giving it a longer operating track record than its rival.

Roundhill Generative AI & Technology ETF (CHAT) Overview

CHAT is an actively managed ETF that invests globally in companies engaged in generative artificial intelligence and related technologies. Rather than tracking an index, the portfolio team selects a concentrated basket of roughly 40–45 names, resulting in a higher-conviction, higher-turnover approach than a passive fund.

Its top holdings include NVDA (NVIDIA), GOOGL (Alphabet), MSFT (Microsoft), META (Meta Platforms), AMZN (Amazon), AMD (Advanced Micro Devices), and AVGO (Broadcom), alongside international names such as SK hynix and Samsung Electronics. Information technology represents the dominant sector weight, with communication services and consumer discretionary as secondary allocations. CHAT carries a net expense ratio of 0.75%, reflecting its active management, and it launched in May 2023, a younger and more concentrated product than AIQ.

Industry and Thematic Backdrop

Both ETFs operate within a technology landscape shaped by surging demand for AI infrastructure, data-center capacity, and advanced semiconductor supply. Capital spending by hyperscale cloud providers has remained a powerful catalyst, while earnings from chipmakers and memory suppliers have driven much of the sector's momentum in recent cycles. At the same time, the theme carries concentration risk: valuations across AI-related equities are sensitive to interest-rate expectations and to any signs of slowing AI-related investment. Regulatory scrutiny of large technology platforms and geopolitical tensions around semiconductor supply chains add further layers of risk that affect both funds, though CHAT's tighter, more focused portfolio amplifies these forces relative to AIQ's broader diversification.

Performance and Positioning Comparison

In recent weeks and months, both funds have generally moved in sympathy with the broader AI complex, but with different magnitudes of volatility. CHAT's concentrated portfolio of roughly 40–45 names, anchored by a heavier weight to semiconductor leaders, has tended to exhibit more pronounced swings as chip-related sentiment shifts. AIQ, by contrast, spreads its exposure across a wider set of holdings and sectors, which has historically tempered single-stock drawdowns while also diluting the impact of any single winner.

From a relative positioning standpoint, AIQ leans toward diversified participation across software, hardware, and data-centric businesses, whereas CHAT skews more aggressively toward the enablers of generative AI. Investors weighing fund performance should recognize that CHAT's active mandate and higher turnover can translate into sharper relative moves during earnings seasons, while AIQ's index-driven, periodic rebalancing produces a more stable, systematic allocation.

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Tickeron AI Verdict

Based on observable factors, Tickeron's AI would likely express a modest preference for CHAT's higher-conviction exposure to generative AI momentum and its concentrated semiconductor leadership, provided an investor can tolerate elevated volatility. At the same time, AIQ's broader diversification, slightly lower cost structure, and longer track record would likely appeal to the AI's risk-management criteria for investors seeking more balanced sector exposure. The probabilistic judgment favors CHAT for trend-driven, risk-tolerant positioning and AIQ for diversified, cost-conscious participation, with neither fund representing a one-size-fits-all solution.

Disclaimer

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