Many financial institutions use AI to enable mission-critical applications like fraud detection, risk scoring, and real-time decision-making. These AI-driven applications help them move faster and drive new business value. But they also introduce new dependencies. If they can’t get the hardware, power, models and datasets needed to execute their AI strategy, then they won’t be able to ensure operational resilience. AI is driving higher demand across every rung of the IT stack: Demand for data center power will increase 165% between 2023 and 2030, according to Goldman Sachs Research. During 2026, AI-related demand is expected to consume about 60% of the output…

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