Goldman Sachs: Macro Volatility Narrows as AI Valuation Debate Drives Single-Stock Divergence
Miles Bennett
Goldman strategists Dominic Wilson and Kamakshya Trivedi argue that with oil-price tail risk fading, macro volatility will keep falling — but disagreement over AI earnings durability is pushing single-stock volatility to the fore as the market's dominant axis.
Oil risk has faded — so what is the market worried about now?
After the US-Iran deal, Persian Gulf oil exports recovered to 66% of normal levels, reopening the Strait of Hormuz as a critical crude corridor.
Goldman's commodities team forecasts Brent at $80/barrel for Q4, but flags two-way risk — if capacity rebounds faster than expected, a short-term supply glut is possible.
The December 2026 Brent contract still trades above pre-conflict levels. This means → the market has not fully squeezed out the risk premium, and oil prices have room to fall further.
What does the Fed's hawkish signal mean?
After the June FOMC's hawkish tilt, markets pulled rate-hike expectations forward, but the terminal rate barely moved. In plain terms = the market fears "hiking sooner," not "hiking higher."
Fed Chair Waller offered limited clues on his reaction function, leaving markets data-dependent. A hot jobs or inflation print could push July and September hike pricing higher.
But falling oil prices are eroding the case for hikes: the 10-year breakeven inflation rate has dropped to its lowest in over a year, and the yield curve is flattening. This reflects a market that is not pricing in "runaway inflation."
Goldman's view: if hike pricing rises further, receiving rates — betting that rates will eventually fall — becomes an increasingly attractive trade.
What is the core tension in AI stocks?
AI-linked valuations require increasingly optimistic macro assumptions to hold up. Goldman says they are "not yet absurd, but getting less comfortable at the margin."
The core tension: the AI capex boom supports near-term earnings, but the market may be overestimating how long above-average profitability can last. Recent renewed volatility in semiconductors is seen as an early warning.
Goldman's own words: "As long as the investment boom looks solid, positive near-term earnings surprises will override valuation concerns. But current pricing makes markets more fragile to any challenge to the optimistic narrative."
In plain terms = this is not a bubble-bursting call. It is a probability-distribution statement: the bar for upside surprises is rising, and the trigger for downside tails is falling. Goldman recommends staying long equities while adding options or long-volatility positions to protect the downside.
Why are macro calm and single-stock divergence happening at the same time?
G10 FX realized volatility has fallen to a five-year low. The US federal funds rate has stayed in the 3.5%–4.5% range for over 18 months. GDP growth is tracking at roughly 2%.
Yet in equities, implied correlation — a measure of how much index-level moves are driven by macro factors — is hitting new lows, while single-stock volatility remains elevated.
This means → macro noise is shrinking, but stock-by-stock divergence is intensifying. The driver: the market is conducting a company-by-company verdict on AI — who is actually earning, and who is just along for the ride.
What about emerging markets?
Goldman argues the key shift is not tech-to-non-tech rotation but breadth of gains.
Oil-importing laggards such as India, Turkey, and Egypt have room to catch up as crude prices ease.
North Asian markets with heavy AI and tech exposure still lead, supported by strong earnings delivery. This reflects a landscape whose durability hinges on whether the pace of AI earnings realization can sustain current valuations.
Content is for reference only, not financial advice.