AI Spending is Beginning to Payoff

Alger research indicates that significant AI capital expenditures by major hyperscalers, including Microsoft and Meta, are nearing a substantial payoff, with CapEx growth projected to slow while operating cash flow steadily increases. This trend is already evidenced by Microsoft and Meta attributing notable revenue growth to AI in their June 2025 earnings reports. Consequently, the research suggests a broadening investment opportunity across the entire AI ecosystem, encompassing infrastructure providers and AI adopters, for which Alger promotes its ALAI ETF as a diversified investment vehicle.

Analysis

Research from Alger indicates that the intensive capital expenditure cycle in artificial intelligence by the five largest hyperscalers—Microsoft, Amazon, Meta, Alphabet, and Oracle—is nearing a pivotal inflection point. Projections show that while CapEx growth is set to decelerate, operating cash flow is expected to rise steadily, suggesting a significant return on these multi-billion dollar investments is on the horizon. This outlook is substantiated by recent corporate results, with both Microsoft and Meta citing AI as a notable contributor to revenue growth in their June 2025 earnings reports. The investment thesis presented extends beyond these core developers to the broader AI ecosystem, encompassing essential infrastructure firms like semiconductor manufacturer TSMC and power provider Talen Energy, as well as AI adopters such as AppLovin. This broadening adoption is framed as a "Positive Life Cycle Change," creating opportunities in sectors not traditionally seen as dynamic, such as Industrials and Utilities. The article promotes an actively managed, diversified strategy, exemplified by the ALAI ETF, to capitalize on this theme.

Key Decisions for Investors

• Investors should closely monitor the relationship between capital expenditures and operating cash flow for hyperscalers like Microsoft and Amazon, as the thesis hinges on CapEx deceleration translating into margin expansion and higher free cash flow.
• Consider broadening portfolio exposure beyond large-cap AI model developers to include enablers and adopters in sectors like semiconductors, power utilities, and software, which may offer diversified growth as the AI ecosystem matures.
• Evaluate the merits of an actively managed, thematic approach, such as the one proposed by the ALAI ETF, against passive index funds, paying attention to concentration risks given the fund's significant holdings in a few key names like Microsoft (9.10%) and Amazon (9.66%).
• Note that the positive sentiment is based on forward-looking statements and a promotional analysis; therefore, positions should be managed with an awareness of potential volatility and the inherent risks of investing in rapidly evolving technologies.