
Goldman Sachs remains overweight equities over the next 12 months and says investors should buy any pullbacks after a sharp rally, supported by strong tech earnings and AI capex growth. The firm sees near-term upside limited by elevated bond yields, energy prices, and geopolitical risks in the Middle East, with its Risk Appetite Indicator above 1.2, the highest since 2021. Goldman recommends selective hedging such as put spread collars and factor diversification, while favoring long-dated call options to manage exposure.
The market is in a late-cycle “good news is good news, bad news is a dip-buy” regime, but the setup is increasingly one-way on positioning. When sentiment and index concentration both get stretched, the first correction is usually mechanical rather than fundamental: dealers de-risk, vol-targeting funds cut exposure, and the highest-beta AI/megacap leaders fall the fastest even if the macro narrative is intact. That means the most likely near-term drawdown is not a broad crisis selloff, but a narrow unwind in the names that have carried index-level returns, with spillover into passive flows and systematic risk controls.
The key second-order effect is that higher oil and yields are not just “headwinds” for multiples; they can become a forced rotation catalyst. If energy keeps pressure on CPI expectations, the market’s rate-cut path gets pushed out, which typically compresses long-duration growth more than cyclicals, while also supporting banks and energy relative to software and semis. Conversely, if geopolitical risk de-escalates and oil retraces, the relief rally should be strongest in the same crowded AI/mega-cap cohort that has been used as a macro-duration proxy, because those stocks have the most valuation sensitivity to falling real yields.
The contrarian take is that the bullish case is probably underestimating how much of the index’s resilience already reflects a small number of earnings winners plus relentless AI capex spend. If capex expectations flatten, the market could re-rate from “AI beneficiaries” to “AI spenders,” which would punish infrastructure-exposed vendors before showing up in headline earnings. In that scenario, the correction window is measured in weeks, not months, and the rebound likely comes from sectors with cleaner cash flow visibility and less duration risk rather than another chase into the same crowded growth basket.
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