QuantumStreet AI said 98% of its index strategy assets outperformed their benchmarks in the first half of 2026, while the remaining 2% matched benchmark performance. None of the firm’s AI-driven index strategies underperformed despite a volatile six months marked by macro uncertainty, geopolitical tensions and sharp sector rotation.

The firm’s Foresight Multi-Asset Index led the pack, returning 12.64%, outperforming its benchmark by 2.97 percentage points. Meanwhile, the AIPEX TE250 Index gained 11.50%, beating the SPDR S&P 500 ETF Trust (NYSE:SPY) by 1.99 percentage points.

QuantumStreet attributed much of the outperformance to stock selection in semiconductor and AI infrastructure names—including Micron Technology Inc (NASDAQ:MU), Lam Research Corp (NASDAQ:LRCX), Qualcomm Inc (NASDAQ:QCOM) and Twilio Inc (NYSE:TWLO)—rather than sector allocation shifts.

QUICK CONTEXT: Explainable AI Meets Active Investing

Portfolio managers are increasingly using AI, but many institutional investors remain cautious about “black-box” models that offer little visibility into how investment decisions are made.

QuantumStreet AI is attempting to differentiate itself through explainable AI, using the SHAP (Shapley Additive Explanations) framework to show how individual signals contribute to every portfolio position.

The company’s flagship AIPEX strategy returned 10.85% in the first half of 2026 versus 9.66% for the Russell 1000 Index, while maintaining a broadly stable technology allocation.

Its AIPEX TE250 strategy applied the same stock-selection process within a 2.5% tracking-error budget, producing nearly 2 percentage points of excess return over SPY. According to QuantumStreet AI, the ability to explain every allocation decision allows risk teams and investment committees to better evaluate AI-driven strategies, particularly during periods of elevated market volatility.

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