AI Beyond Tech: What Q2 Earnings Told Investors About the Widening AI Trade
By Charu Chanana, Chief Investment Strategist
Key Insights
The article discusses the evolving landscape of artificial intelligence (AI) investments, highlighting how AI is becoming a broader capital-spending cycle that extends beyond traditional technology sectors.
AI Infrastructure Spending
AI infrastructure requires significant investments in data centers, including heavy equipment, electricity generation, grid infrastructure, cooling systems, and real estate. This demand is reflected in the earnings reports of various companies.
- GE Vernova: Reported over $5 billion in data-center orders in the first half of 2026, more than double its total for 2025.
- Eaton: Experienced a 65% growth in data-center revenue and an 85% increase in orders.
- Digital Realty: Saw a 29% rise in Q2 revenue, with significant new bookings and cash rental-rate growth.
Sector Diversification and Risks
While companies like Deere and Caterpillar are benefiting from AI-related infrastructure spending, they are not purely AI-focused. Their growth is still tied to broader economic cycles and sectors such as agriculture and construction.
Investor caution is advised as broader sector exposure does not guarantee risk diversification. The incremental demand for these companies is heavily reliant on continued spending by hyperscalers.
Electricity Demand and Power Generation
The expansion of AI infrastructure is also driving demand for electricity. Companies like Dominion Energy reported significant earnings growth due to increased electricity load from data centers.
Power availability is becoming a critical constraint for AI infrastructure growth, necessitating investments in generation and transmission capabilities.
Financial Sector Involvement
The scale of investment in data centers is making AI a significant theme for banks and capital markets. Goldman Sachs and Bank of America reported substantial increases in investment-banking fees and capital raised for AI-related projects.
This trend indicates that AI is evolving into a capital-markets theme, with banks playing a crucial role in financing the necessary infrastructure.
Conclusion
The article concludes that AI spending is increasingly permeating various sectors of the economy, marking a shift from a narrow technology focus to a broader capital-expenditure cycle. Investors should be aware that while opportunities are expanding, the underlying risks remain interconnected across different industries.