Project Delivery, Schedule, Procurement, Contracts & Risk

The critical path of an AI build runs through transformers, interconnection dates, and GPU allocation; a single slipped slot strands depreciating silicon, so the schedule itself is the asset under management.

The delivery model assigns schedule, price, and long-lead risk across the whole coalition; on a power-bound, allocation-bound build, pick the structure that protects time-to-power.

In a power-bound build, the longest-lead equipment you have not yet ordered sets the schedule; the manufacturing slot you reserve today is the date you energize three to five years out.

A dozen interlocking agreements deliver an AI campus; the project survives only if each risk lands on the party that can control it and the seams between contracts are sealed.

Capital is now the scarcest input after power; the deal structure sets how many megawatts you can finance, and one wrong demand or residual-value assumption can collapse the whole stack.

In 2026 the risk-transfer market grades your design like a second lender — capacity is rationed, delay-in-startup caps the construction program, and an uninsurable cooling or battery choice can strand financing.

A flaw caught in a digital twin costs an engineering revision; the same flaw caught at integrated system test costs the energization date, so simulate the irreversible subsystems before committing them.