3 Cloud Computing ETFs to Buy as Enterprise AI Spending Accelerates in 2026
View original at finance.yahoo.com3 Cloud Computing ETFs to Buy as Enterprise AI Spending Accelerates in 2026 Quick Read First Trust Cloud Computing ETF (SKYY) is down 10% year-to-date but up 20% over the trailing year near $118, holding a blended portfolio of hyperscalers like Microsoft and Amazon alongside pure-play cloud software names like Snowflak…
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Enterprise digital transformation remains the primary driver of demand for public and hybrid cloud services
60% confidenceSKYY's blended construction captures the cloud demand signal at both ends of the stack, from infrastructure and data center layers down to application software
60% confidenceFunds with greater exposure to hyperscalers held up better than pure-play SaaS funds due to the surge in AI-related capital spending
60% confidencePure-play SaaS names face margin pressures from generative AI tools and interest rate sensitivity, creating divergent performance across hyperscaler-heavy and software-focused ETF strategies
60% confidenceSKYY is one of the oldest and largest funds in the cloud computing ETF category
60% confidenceCLOD carries wider trading spreads and a shorter performance history than established cloud computing ETF competitors SKYY and WCLD
60% confidenceWCLD tracks a pure-play index of emerging cloud software companies and carries higher sensitivity to AI-disruption concerns than blended cloud ETFs
60% confidenceThe profit engine behind software, IT services, and cloud platforms has expanded meaningfully over the past few years as enterprise cloud migration continues
60% confidenceAI-driven infrastructure spending has added another layer of momentum to cloud demand beyond the enterprise migration trend
60% confidenceWith the 10-year Treasury at 4.3% and Fed funds upper bound at 3.75% after a year of rate cuts, interest-rate sensitivity still matters for growth-heavy cloud baskets
60% confidencePure-play cloud software names sold off into early 2026 as investors worried that generative AI tools might squeeze traditional seat-based SaaS revenue
60% confidence
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