Inflection Points: AI Monetization, Market Volatility, and Valuation Disconnects

AI monetization uncertainty is driving equity volatility not because aggregate earnings expectations have deteriorated, but because the dispersion of outcomes and valuation assumptions has widened sharply.

• September has historically been a weak month, with the S&P 500 averaging a 1.1% decline since 1928, while inflation and geopolitical supply shocks are making markets more sensitive to rates.
• The correlation between S&P 500 volatility and 10-year Treasury rate changes rose from 0.3 in 2023–2024 to almost 0.7, while the correlation between S&P 500 and technology volatility increased from roughly 0.7 to 0.9 since the start of 2025.
• Technology earnings are forecast to grow more than 70% in 2026, with margins above 38% and reaching 43% in 2027; S&P 500 earnings revisions are up 15% this year and imply nearly 30% growth over 2025.
• The median technology-sector earnings-growth expectation nearly doubled from 16% to 31% year to date, but the standard deviation of constituent forecasts more than tripled, indicating greater dispersion despite a stronger central outlook.
• Semiconductor estimates are more than 30% higher for both 2026 and 2027, while long-term growth expectations fell from 14% to 7%; software estimates declined near term even as long-term expectations rose from 9% to 12%.

Takeaway: Investors should expect further differentiation between AI winners and losers rather than necessarily a broad drawdown; companies linked to AI infrastructure and data centers with existing capacity, as well as software firms that beat lowered expectations, may offer tactical upside, although higher rates could threaten the investment cycle.