AIQ vs SMH

Key Takeaways

• AIQ offers broader thematic exposure to artificial intelligence and big data across 84 holdings and multiple sectors, while SMH provides concentrated pure-play semiconductor focus with just 26 holdings, all in technology.
• SMH features a lower expense ratio of 0.35% compared to AIQ's 0.68%, enhancing cost efficiency for long-term holders.
• Top holdings overlap in key names like INTC, MU, AMD, AVGO, and TSM, but SMH allocates far more heavily to NVDA at around 18% versus AIQ's 3%.
• AIQ diversifies into communication services (10%), consumer discretionary (9%), and industrials (6%), reducing single-sector risk compared to SMH's 100% technology allocation.
• SMH demonstrates higher liquidity with significantly larger assets under management (AUM, assets under management) exceeding $60 billion versus AIQ's approximately $10 billion.
• Both ETFs benefit from AI-driven demand, but SMH's semiconductor purity positions it for stronger gains in chip supply chain cycles, while AIQ suits investors seeking AI software and ecosystem breadth.

Introduction

In the rapidly evolving landscape of artificial intelligence, investors seek targeted exposure to this transformative theme. The AIQ and SMH ETFs offer complementary yet distinct pathways. AIQ provides diversified access to companies developing and utilizing AI alongside big data hardware, spanning software, services, and infrastructure. SMH, conversely, concentrates on semiconductor producers essential to AI chip demand. These funds do not compete directly but serve as alternatives within technology: AIQ for thematic breadth targeting AI adopters, and SMH for depth in the hardware underpinning AI growth. Comparing them reveals trade-offs in diversification, costs, and sector exposure amid surging capital flows into AI infrastructure.

Global X Artificial Intelligence & Technology ETF (AIQ) Overview

The Global X Artificial Intelligence & Technology ETF (AIQ) is a passively managed thematic ETF tracking the Indxx Artificial Intelligence & Big Data Index. It invests at least 80% of assets in companies benefiting from AI development, utilization, and big data hardware. With 84 holdings, AIQ emphasizes diversification across global developed markets without sector or geographic caps.

Top holdings include SK Hynix (6.3%), MU (5.1%), INTC (5.1%), Samsung Electronics (4.8%), and AMD (4.6%), with the top 10 comprising about 38% of assets. Sector allocations feature information technology at 76%, communication services at 10%, consumer discretionary at 9%, and industrials at 6%. The expense ratio stands at 0.68%, with strong liquidity evidenced by a tight 30-day median bid-ask spread of 0.02%.

VanEck Semiconductor ETF (SMH) Overview

The VanEck Semiconductor ETF (SMH) passively tracks the MVIS US Listed Semiconductor 25 Index, focusing on the largest and most liquid US-listed semiconductor firms involved in production and equipment. This non-diversified fund holds 26 stocks, prioritizing market-cap-weighted leaders.

Leading holdings are NVDA (18%), TSM (11%), AVGO (8%), INTC (7%), and AMD (6%), with top 10 at over 72%. Allocation is 100% technology (semiconductors). Expense ratio is a low 0.35%, supported by massive AUM over $60 billion and high trading volume for superior liquidity.

Industry and Thematic Backdrop

The AI sector thrives amid explosive demand for computing power, driven by generative AI models, cloud expansion, and data analytics. Semiconductors form the foundation, with catalysts like hyperscaler capex surges and edge AI proliferation fueling chipmakers. Capital flows heavily into infrastructure, bolstered by favorable interest rate expectations and robust earnings from leaders. Regulatory scrutiny on AI ethics and chips export controls introduces risks, alongside macroeconomic shifts like supply chain tensions and commodity price volatility for wafer materials. Both ETFs navigate this dynamic, with semiconductors sensitive to cycle peaks and AI themes offering longer-runway growth.

Performance and Positioning Comparison

In recent market cycles, SMH has outperformed AIQ, propelled by semiconductor momentum from AI accelerator demand and supply constraints. SMH's heavy NVDA weighting amplified gains during chip rallies, while its purity heightened volatility versus AIQ's broader base. AIQ, blending AI software and hardware, showed steadier relative positioning amid sector rotations toward diversified tech. Both exhibit elevated betas to technology, but SMH's concentration links it closely to earnings cycles of top holdings and geopolitical chip dynamics, contrasting AIQ's exposure to broader AI adoption trends.

AI Screener

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Tickeron AI Verdict

Tickeron’s AI currently favors SMH due to its superior cost efficiency, concentrated exposure to high-momentum semiconductors powering AI, consistent trend strength in recent cycles, and larger scale for liquidity. While AIQ's diversification mitigates some risks, SMH's structural alignment with sector tailwinds offers higher probability of outperformance in AI hardware-driven environments, absent major supply disruptions.

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.

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