The Corrosion Blind Spot in the AI Buildout
AI data centers' massive capital investments are at risk from corrosion, which begins during construction – not operations – yet preservation is rarely included in project governance or early planning.
AI data centers represent massive capital investments, but corrosion of equipment and infrastructure often begins during construction and manufacturing before a facility operates, yet is rarely addressed in project planning. While the industry has focused on power availability, cooling, and deployment speed, corrosion damage can reduce cooling efficiency, delay commissioning, and shorten equipment life, with costs estimated at approximately 3.4% of global GDP annually. The problem stems partly from governance gaps: as equipment moves between manufacturers, logistics providers, contractors, and owners, responsibility for preservation becomes unclear and corrosion can start long before it becomes visible. Other asset-intensive industries like oil and gas established preservation requirements decades ago by incorporating corrosion prevention into design, procurement, and commissioning processes, practices that AI infrastructure is now reaching the complexity and scale to justify.
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