Why Trade Desk, AppLovin and Lululemon Are Lagging
Explore why The Trade Desk, AppLovin, and Lululemon stocks have become the top laggards in the S&P 500 Index this year.
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https://www.axios.com/2026/08/21/doj-tiktok-biden-lawsuit-settlement
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Explore why The Trade Desk, AppLovin, and Lululemon stocks have become the top laggards in the S&P 500 Index this year.
Nvidia CEO Jensen Huang's single use of the word 'visibility' during earnings signals the company's unprecedented insight into AI infrastructure demand across land, power, and supply chains. With top hyperscalers expected to spend $800 billion on capex in 2026 and $1.3 trillion in 2027, Nvidia's 70% revenue growth guidance and strategic equity stakes in networking and optical companies position it as the architect of AI factories rather than just a chip vendor, suggesting secular demand rather than a bubble.
NuScale Power is implementing specialized AI tools from Nuclearn and NPX to streamline its engineering, regulatory, and knowledge work for small modular reactor (SMR) development. The AI implementation reduced information search and verification time by up to 80%, addressing operational bottlenecks. However, the company remains in pre-commercial stages with only one secured project in Romania and is seeking a major deal with the Tennessee Valley Authority.
SpaceX is already leasing AI compute to customers. Now Meta is exploring the same strategy as AI infrastructure becomes big business.
Major tech companies (Alphabet, Amazon, Meta) are significantly increasing capital expenditures for AI infrastructure. Rather than betting on which tech company will succeed, investors can gain exposure to the AI boom through industrial companies that supply essential infrastructure—power generation, electrical systems, and cooling hardware—regardless of which tech platform dominates.