Goldman Sachs analysts said that expectations for upcoming corporate earnings reports are unusually high for both analysts and option market makers [1].
This high threshold creates significant risk for equity markets. If companies fail to meet these aggressive projections during the reports expected next week, it could trigger a sharp correction in stock prices [1].
Brian Garrett, head of equities on the Cross Asset Sales desk in FICC & Equities, discussed these dynamics during an interview recorded July 15, 2026 [1]. Garrett said the bar is “very high” from the perspective of analysts and option market makers [1].
Beyond earnings, the scale of artificial intelligence capital expenditure is altering the fixed-income landscape. Hyperscalers are issuing massive amounts of debt to fund AI infrastructure, which is now filtering into broader fixed-income markets [1]. This trend reflects a period where investors are weighing the massive spending that has powered stocks for years [2].
Garrett said there is a growing divergence in market behavior regarding volatility. He said that single-stock volatility is behaving differently than equity-index volatility [1]. This split suggests that while the broader market may appear stable, individual companies are experiencing higher levels of price instability.
These shifting patterns come amid conflicting reports on the stability of the AI boom. Some analysts suggest that investors are seeking more proof of profitability before committing further capital [2], while other reports indicate the boom may be faltering following the collapse of a $10 billion data-center deal [3].
“The bar is “very high” from the perspective of analysts and option market makers.”
The divergence between index and single-stock volatility indicates that the 'AI trade' is becoming more fragmented. As hyperscalers increase debt to fund infrastructure, the financial risk shifts from simple equity valuation to the broader fixed-income market, making the overall economy more sensitive to the actual ROI of AI investments.
