Project Delivery, Schedule, Procurement, Contracts & Risk

The critical path of an AI build is the longest (driving) dependency path to a common first-productive-run milestone, checked against float, because contract dates can give another path the lowest float. A slipped slot strands depreciating silicon, so the schedule is the asset under management.

The delivery model decides who carries schedule, price and long-lead risk across everyone building the project. On a power-bound, allocation-bound build, pick the structure that protects time-to-power and leaves you only the interfaces you can staff.

On a power-bound build, the longest-lead item you have not yet ordered can set the schedule, so tie each vendor and utility milestone to your energization date. A factory allocation counts as a schedule input only under a defined order-to-acceptance obligation.

A dozen interlocking agreements deliver an AI campus, and it survives only if each risk lands on the party that can control it and the gaps between contracts are sealed. Read the exclusions before you charge residual delay loss to the contractor.

On a funding-limited campus, capital is the constraint after power. Deal structure sets how many megawatts you can finance, and one wrong demand or residual-value assumption can collapse the stack. A DSCR pass must also clear the sponsor’s separate equity hurdle.

In 2026 the risk-transfer market grades your design like a second lender: capacity is rationed, delay-in-startup capacity can cap the insured construction program, and an uninsurable cooling or battery choice can strand financing. Recovery depends on the covered event, the insured interest and payment timing.

A flaw caught in a digital twin costs an engineering revision. The same flaw caught at integrated system test costs the energization date. Simulate the irreversible subsystems before you commit them; physical tests still accept the installed system.