Evercore’s Emmanuel sees 30% chance S&P 500 surges to 9,000 by year-end

Evercore ISI's Julian Emanuel set a 7,750 year-end 2026 base case for the S&P 500 and a 9,000 bull case, implying further upside driven by AI-led gains in technology, communication services, and consumer discretionary stocks. He also highlighted a 30% probability for the bull case and suggested long-dated calls on AI-themed stocks and QQQ, alongside a SPY collar to hedge oil and rate risks. The note is bullish on the long-term AI theme but cautious about near-term volatility and the uncertain distribution of outcomes.

Analysis

The setup is less about a simple multiple expansion call and more about dispersion exploding inside the index. If the market starts pricing a regime where AI-related capex, productivity gains, and geopolitical stimulus all coexist, the winners will be the companies with control points on compute, data, and workflow integration; the losers will be the “AI-adjacent” names that lack pricing power and can’t convert enthusiasm into operating leverage. That supports continued relative strength in high-beta growth, but only if earnings revisions keep up with valuation, which is the key watchpoint over the next 1-2 quarters.

SMCI and APP fit the market’s current preference for either infrastructure leverage or monetization leverage, but both are vulnerable to the same second-order risk: the market is paying for a long duration of elevated growth with very little margin for execution misses. SMCI is more exposed to a capex digestion phase if hyperscaler spending pauses; APP is more exposed to any pullback in digital advertising budgets if rates or oil shock risk compresses consumer discretionary appetite. In other words, they can both work, but the best risk/reward is likely in timing pullbacks rather than chasing strength after sharp upside gaps.

The contrarian read is that the crowd is underpricing path dependency. A wide-outcome forecast is not itself bullish; it means realized returns may be dominated by volatility, not a straight-line melt-up, especially if inflation re-accelerates or long rates stop falling. That argues for owning upside with defined risk while funding it with structures that monetize elevated implied volatility, rather than outright index exposure.

Near-term, the biggest reversal catalyst is not AI disappointment but macro squeeze: a move higher in oil or yields that forces derating before the earnings machine catches up. Over a 6-12 month horizon, the more dangerous miss is that productivity gains remain real but accrue unevenly, concentrating gains in a few platforms while the broader index fails to re-rate; that would leave consensus too long beta and not long enough idiosyncratic winners.

Key Decisions for Investors

• Buy SMCI on a 5-10% pullback, targeting a 3-6 month holding period; use a tight 12-15% stop because the stock’s upside is linked to hyperscaler capex momentum, but the name can re-rate violently on any order-cycle pause.
• Buy APP on weakness and pair it against a basket of lower-quality ad-tech names over 3-6 months; APP is a cleaner monetization story, but the pair reduces beta while keeping exposure to AI-driven ad optimization.
• Structure a QQQ call spread 9-12 months out instead of outright calls; this captures the upside scenario without overpaying for tail volatility, and is better aligned with a regime where the index grinds higher but with drawdowns.
• For hedge funds with existing index beta, replace some SPY exposure with a collar into the next 1-2 quarters; the article’s own framework implies that oil and rates can knock down multiples before the bull case becomes self-fulfilling.
• Avoid chasing SMCI and APP after strong gap days; the better entry is after implied volatility compresses post-earnings or on macro-led selloffs, where the risk/reward improves from momentum premium to setup premium.