LLMs will be stressed by enterprise systems, says Wedbush's Sherlund

AI Trade & Market Dynamics - The AI trade is expected to shift from broad enthusiasm to a more selective environment in 2026 [3] - A robust IPO market is anticipated, featuring private AI companies and SAS companies that didn't IPO in 2021 [4] - M&A activity is expected to be significant as enterprise companies seek to integrate AI into their architectures [4][5] Enterprise Adoption & Sector Impact - AI is transitioning from a consumer novelty to an integral part of business processes and workflows [8] - Enterprise adoption of AI will drive increased demand for inference, potentially requiring 10-50 trips back to LLMs for complex workflows [9] - The inference is becoming the heartbeat of global business, creating enormous demand for data centers [10] LLM & Data Center Considerations - The LLM market is expected to be highly competitive, with open-source models from Chinese companies, Meta, and Nvidia [11] - Leaders in the LLM market are likely to move up the stack, similar to Microsoft with Windows and Oracle with databases [11] - The data center trade is not a concern due to the expected imbalance between high demand and limited supply, despite capital and resource constraints [10][11]