AIQ is marketed as an “AI” ETF, managing $6 billion in assets and offering exposure to technology equities. Despite the label, AIQ is far from a pure-play AI vehicle. Its portfolio closely matches the Nasdaq-100 (NDX), albeit with a more balanced weighting that reduces single-stock concentration.

AIQ and QQQ exhibit a 97% correlation, with only slight performance divergence for most of the year. At best, AIQ functions as a QQQ variant with an AI tilt, rather than a dedicated AI strategy.

AIQ/NDX Gives a Pure Leveraged Exposure to AI

In September, AIQ outperformed QQQ by 10%, driven by a surge in AI-related deal activity. The divergence was partially due to portfolio construction: AMD rose to the top holding, while Nvidia slipped to 12th.

Although AIQ’s performance largely mirrored the NDX, its shares outstanding doubled—signaling strong demand and growing investor inflows. This underscores the power of branding: investors gravitated toward AIQ for its name, not its fundamentals.

The pattern echoes the dot-com era, when companies added “.com” or “.net” to their names to attract capital — a textbook case of thematic investing fueled by perception over substance.

AIQ’s short interest remains low relative to other ETFs, suggesting it’s rarely used for hedging or directional shorting — even though many of its top holdings face elevated short interest levels to the point of being crowded or having squeeze risk.

A long AIQ / short QQQ position reduces sector-specific risk while delivering targeted exposure to the AI sector. This pair trade exhibits roughly one-third the volatility of AIQ on its own and can be used to express thematic conviction or monitor directional bias within AI-related equities.

The QQQ/AI graph on page 1 provides the clearest visual benchmark for AI sector performance and should be used for monitoring and trading. To do the trade equal notional (dollar neutral) it would be 12 AI shares vs 1 QQQ, or more AI to be net long.

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