Fluctuations in the AI sector are changing market dynamics

Recent turmoil in the AI sector has led to a shift in market dynamics. As investors move away from tech exuberance and begin to evaluate growth rates and capital costs more cautiously, increased volatility has weakened traditional market correlations.

The growth wave in the field of artificial intelligence has shielded markets from macroeconomic fears for over two years, but signs of cracks have begun to appear in the sector. The turbulence experienced in the sector last week revealed that investors are becoming more selective among companies as growth rates peak and the balance between computing costs and revenues reaches a sustainable point. While the shake-up in the cross-financing AI ecosystem has spread to broader indices, government bonds have seen strong demand from investors seeking to hedge against a potential AI-induced economic slowdown.

Societe Generale strategists noted that the correlation between S&P 500 daily logarithmic returns and 10-year Treasury yields reached its most negative level in 30 years in early October. Systematic long-short hedge funds experienced their worst week since 2024, falling 2 percent. Regulators and central banks have expressed concern over 'volatility suppression' trades, where investors potentially understate market risk by taking short positions in implied volatility indices. While Morgan Stanley remains optimistic about 2027 AI capital expenditures, both this institution and Barclays analysts have warned that performance gaps between rising capital costs and AI-linked borrowers will increase market volatility.