With the build-out of data centres not losing steam, the AI trade continues to command investors’ attention. But beneath the hype, mega-cap tech returns have been fragmented.
For several years the Magnificent Seven (Apple, Microsoft, Nvidia, Amazon, Alphabet, Meta and Tesla) have been among the defining forces in investment management. Their scale and concentration in global markets have made the performance of these seven companies unusually important for investors.
Yet looking at the group as a single investment theme can mask significant differences beneath the surface.
High hopes, fragmented returns
Global market indices remain disproportionately driven by the Magnificent Seven. From 1 January 2024 to 28 September 2026, the gap between the strongest performer (Nvidia) and the weakest performer (Microsoft) within the group exceeded 325%. While the AI infrastructure stock Nvidia outperformed the MSCI World index by over 300%, Tesla and Microsoft have significantly underperformed the index by 19.2% and 24.7% respectively. The large dispersion suggests that investors should be cautious about predicting the “winners” of the AI trade.
Quality matters. But so does the price you pay.
Mergence’s Global Quant Equity process evaluates companies through three complementary lenses: Value, Quality and Sentiment.
While many of the Magnificent Seven continue to exhibit characteristics associated with high-quality businesses (the exceptions being Tesla and Amazon), they are all among the more expensive stocks in the MSCI World universe.
In the chart below we interact the Value and Sentiment factor scores of the seven stocks relative to the broader MSCI World market index. Most are in the expensive high sentiment segment, while Tesla and Meta are expensive with low sentiment.
Among the Magnificent Seven, we remain sceptical. We are currently over-weight in Nvidia and Apple relative to the MSCI World, and under-weight in the rest of the Magnificent Seven stocks given their relatively high valuations and fading sentiment.
We take a selective approach across the broader AI supply chain with a clear preference for AI infrastructure and semi-conductor stocks that have attractive combinations of Value, Quality and Sentiment exposures. The AI capex build-out is colossal and implies significant demand of chips, cooling equipment, metals, and the power supplies that are required for building data centres.
Systematic resilience
Inflation surprises and interest rate shocks are the key risks to market sentiment over the year. As dispersion increases, diversification and disciplined stock selection become increasingly important.
When markets pivot – for example a reversal in mega-cap tech dominance – investors tend to fall victim to emotional biases. Systematic investment processes, with their focus on risk management, tend to handle extreme market leadership shifts more objectively than traditional stock-pickers.
Rather than treating the Magnificent Seven as a single investment theme, assessing each company on its own merits, while continuing to search across the broader global equity universe, can help identify attractive combinations of Value, Quality and Sentiment.
Contact: Fazila Manjoo, Head: Multi-Asset & Global Equities on fazila@mergence.co.za
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