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Infrastructure’s structural growth opportunities strengthen the case for a strategic portfolio allocation.
Its role in the AI buildout has shifted memory from a cyclical commodity into a differentiated technology product with attractive longer-term risk reward.
Emerging markets have significantly evolved in recent years and offer a more compelling risk/reward setup than in the past. From deeper local markets to world-leading companies, EM presents a stronger opportunity than geopolitical volatility suggests.
While the AI trade absorbs nearly all available investor attention, owning energy covers our absolute risk while creating the risk budget to cover the AI relative risk more effectively.
High-quality dividend growers outside technology offer attractive income, inflation offsets and downside protection as momentum in AI-related stocks shows signs of fatigue.
Higher yields appear less threatening when viewed against the resilient economic and earnings backdrop along with the green ClearBridge U.S. Recession Dashboard.
Drug development appears to be stabilizing, as improving biopharma funding and healthier demand create a more constructive backdrop for contract research organizations and life science tools companies.
Earnings delivery and market leadership are continuing to broaden out to a larger group of market constituents.
Many companies supplying scarce, high demand AI infrastructure are based in emerging markets, creating a differentiated route into AI growth through scale, consolidation and pricing power.
AI demand is turning global supply constraints across chips, wafers, networking and optical infrastructure into pricing power for key suppliers.
