The current expansion of artificial intelligence infrastructure requires a rigorous distinction between contractual commitments and the economic durability of underlying assets. Investors must verify whether assumptions regarding workload productivity, customer renewal, and power deliverability remain valid throughout the lifecycle of an investment.
Infrastructure projects often face discrepancies between planned capacity and actual operational status. Factors such as power availability, cooling, and equipment cycles may not align with the timelines of compute contracts. Persistence Analytics Group emphasizes that contractual remedies, such as guarantees, do not replace the need for the continued utility of the physical asset.
Neil P. Osnato, founder of Persistence Analytics Group, suggests a structured approach to decision-making for capital allocators. This involves documenting the chain of evidence, identifying dependencies, and establishing clear decision gates. These gates should trigger a reassessment whenever material changes occur in project configuration, power availability, or customer demand.
The firm has participated in the MISO Large Load Working Group proceedings, specifically addressing load forecasts and cost transparency. The objective is to ensure that planners maintain alignment when project conditions evolve after initial commitments. This discipline is essential to prevent scenarios where transformational technology fails to yield expected financial returns.
