Beyond the AI Trade: The Case for Diversification Now

The concentration of equity returns in the AI trade has made systematic multi-strategy diversification increasingly attractive.

• The AI trade has driven global equity returns for nearly two years, concentrating market leadership in a handful of mega-cap stocks; a brief unwind in July exposed the resulting portfolio vulnerability.
• The proposed blend combines equity market neutral, quant macro, trend following, and short-term trading to diversify across market exposures, regimes, and investment horizons.
• In 2026 year-to-date, equity market neutral had a -0.43 correlation with the AI factor, quant macro -0.07, trend following 0.27, and the broader blend -0.23.
• Equity market neutral is positioned to remain relatively insulated from an AI-driven drawdown, while modest trend exposure and the absence of cap weighting limit concentration in the largest momentum stocks.
• Fixed income suffered from low dispersion and volatility for three years, but stronger yield movements are reopening opportunities; US 10-year yields spent roughly one year, from April 2025 to March 2026, in an unusually tight range.

Takeaway: Allocators should complement AI-heavy equity exposure with a risk-managed blend of systematic strategies, while recognising that trend following may retain some exposure to crowded trends and that the approach is not guaranteed to perform.