Lovell Sees Earnings Growth Beyond AI

UBS Global Wealth Management strategist Nadia Lovell expects markets to remain volatile in the coming weeks amid earnings, next week’s Federal Reserve meeting, midterm-election uncertainty and the Middle East conflict’s effects on energy and oil prices. She said growth and demand remain strong and advised investors not to abandon the AI trade, but to be more selective given financing risks around the buildout.

Analysis

The key transmission channel is the interaction between oil-driven inflation and AI equity duration: a sustained energy shock could keep real yields elevated, pressuring long-duration AI infrastructure and software valuations even if demand holds up. This favors businesses able to fund investment from internal cash flow over more financing-sensitive parts of the buildout; it could also shift market attention toward power and grid bottlenecks, though that is a medium-term theme rather than an immediate earnings read-through.

Over the next few weeks, earnings and the Fed meeting can reset both capex expectations and discount rates; election uncertainty and Middle East developments add event risk. Over 1–3 months, watch whether reported AI-related spending converts into revenue and whether guidance supports continued investment. Over 6–18 months, the differentiator is likely returns on deployed capital, not announced spending alone.

The contrarian risk is that “selectivity” becomes a crowded quality trade while investors underprice durable demand—or, conversely, mistake strong aggregate demand for attractive returns across the whole AI supply chain. The article provides no valuation, positioning, or company-level data to establish either case. No broad directional AI trade is justified on this signal alone.

Key Decisions for Investors

• Avoid adding undifferentiated AI beta ahead of the Fed and earnings catalysts. For existing exposure, favor cash-generative platform businesses over financing-sensitive AI infrastructure exposures, subject to valuation and company-level verification.
• Treat a relative-value long-quality/short-capex-sensitive AI basket as a watch item, not a live recommendation: first verify relative valuations, positioning, and evidence that customer spending is translating into supplier revenue.
• If hedging a concentrated growth-equity book, consider defined-risk index protection rather than a wholesale AI exit; assess option cost and implied volatility before implementation. The near-term thesis weakens if real yields fall while earnings guidance confirms resilient AI monetization.
• Escalate risk if oil rises persistently and inflation or real-yield measures reprice higher, or if earnings show capex growth without corresponding revenue or returns. Those would strengthen the case for reducing long-duration exposure; an oil retracement and stable Fed path would reduce it.