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      Goldman Sachs Highlights Infrastructure Challenges in AI Buildout

      Goldman Sachs has identified a significant shift in the challenges facing the artificial intelligence (AI) sector in the United States, moving from demand concerns to the delivery of necessary infrastructure. Following a series of industrial and data center power conferences, the bank's Fundamental Equity investors concluded that the real test now lies in the ability to construct power plants, grids, and data centers quickly enough to meet the burgeoning demand for AI-related power.

      Manufacturers are currently booking orders that extend into the early 2030s, indicating a multi-year backlog driven by AI demand. However, execution risks are rising due to labor shortages and extended equipment lead times, which have lengthened development timelines for major data center campuses from five to seven years to between seven and ten years. Goldman Sachs has pinpointed power generation, transmission, grid modernization, and high-voltage equipment as critical choke points that will influence the pace of this infrastructure buildout.

      The broader industrial landscape appears to be improving, with healthy demand reported across various sectors beyond AI. While mega-projects related to data centers and other strategic industries are thriving, traditional commercial and residential construction remains sluggish. In the defense sector, European manufacturers are positioned to capitalize on strong demand, while U.S. contractors face uncertainties due to budget constraints and political factors. Goldman Sachs emphasizes that the ongoing AI-driven infrastructure expansion represents both a challenge and an opportunity for investors.

      © 2026 KLEA News. All Rights Reserved. This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.

      Source: KLEA News

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