‘NEW SEASON' of AI investments, chief market strategist says

Gabriela Santos of J.P. Morgan Asset Management comments on the Federal Reserve leaving rates unchanged and the AI boom's effect on markets. The piece is mostly market commentary rather than breaking policy news, so it is likely to have limited direct price impact. The key takeaway is a neutral read on rates with continued investor focus on AI-driven market leadership.

Analysis

The macro setup is less about the headline rate decision and more about duration volatility staying compressed while policy uncertainty gets pushed further out the curve. That tends to favor the highest-duration equity exposures first: profitable AI infrastructure, semis, and software names with visible 12–24 month capex demand. The second-order effect is that “long AI” becomes a crowded quasi-defensive trade when rates are unchanged, because investors can justify paying for terminal growth without an immediate discount-rate shock.

The bigger risk is that the AI complex is increasingly self-referential: capex announcements, cloud reservations, and order-book visibility are all feeding the same narrative loop. If financing conditions remain stable, winners can continue to outperform on multiple expansion alone, but the setup becomes fragile if earnings fail to catch up to price action. In that case, the first break usually comes in the highest-beta infrastructure names and suppliers before it spills into the megacap platforms.

For rates-sensitive assets, the key nuance is that “unchanged” does not mean supportive across the whole curve. A steady policy rate with sticky inflation typically keeps real yields elevated, which caps the upside for long-duration assets outside AI and pressures low-quality growth. That creates a narrow leadership regime: quality balance sheets, pricing power, and AI-linked capex beneficiaries outperform while cyclicals and speculative tech remain vulnerable to any repricing of terminal rates.

The contrarian view is that the AI trade may be underexposed to deceleration risk rather than policy risk. Consensus is focused on whether the Fed cuts sooner, but the more important catalyst is whether incremental AI spend shifts from buildout to monetization over the next 2–3 quarters. If revenue conversion lags, the market will stop paying up for capacity alone, and the trade will rotate from infrastructure beneficiaries to cash-generative software and vertical AI applications.

Key Decisions for Investors

• Long SMH vs short IWM for the next 1-3 months: semis should keep outperforming if rates stay steady and AI capex remains the dominant growth vector; stop if breadth improves and small caps regain cyclically led momentum.
• Buy MSFT or AMZN on 4-8 week dips, not breakouts: these are the cleaner AI monetization vehicles versus pure buildout names, with better downside protection if sentiment cools.
• Avoid chasing the highest-beta AI infrastructure basket on strength; use call spreads instead of outright longs in names most exposed to multiple compression if the market starts demanding revenue proof.
• Pair long quality tech (MSFT/GOOGL) against short unprofitable software or high-multiple secondary AI beneficiaries over 2-3 months: if policy stays stable, the market should increasingly reward cash flow over story.
• If long duration exposure is needed, prefer TLT call spreads only after a clear dovish inflection; absent that, unchanged rates with sticky inflation make the risk/reward poor.