Executive readout
Explains the main timing risks and what they mean commercially.
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Power-side expansionPower-side engagementAI load timing and credibility
Large-Load Reality Check
A fixed-fee pilot for power-side teams that need to know which announced large loads are likely to materialize and on what timeline.
For power providers, microgrid developers, energy sellers, origination teams, and infrastructure teams evaluating named large-load opportunities.
Who this is for
Built for power-side teams deciding where demand is real enough to pursue
This engagement is for power providers, microgrid developers, energy sellers, and infrastructure teams selling power-related capacity into the AI supply chain.
Decision support
The decisions this helps with
- Prioritize which customer loads to pursue and when
- Assess whether a named load opportunity is real and on schedule
- Decide where to spend origination, diligence, and commercial effort
Outside-in analysis
What we analyze
We analyze named large-load opportunities in one market, including AI campuses or large data-center projects, expected energization timelines, infrastructure constraints, interconnection and readiness signals, and the evidence that suggests whether the load is likely to materialize.
This is the power-side counterpart to an account readiness snapshot.
Deliverables
What we deliver
Named-target snapshots
Covers each load opportunity in scope, with readiness or timing confidence.
Decision brief
Translates the analysis into origination and prioritization guidance.
Weekly delta updates
Tracks what changed when the work is run as a multi-target pilot.
Best starting point
Start with one named load when you need a fast read, then widen to the market watchlist
Start with a single named-load brief if you need a fast read. Expand to a five-load market watchlist if you need broader prioritization.
- 1Start with one named load or campus.
- 2Validate whether the analysis changes your commercial or technical prioritization.
- 3Expand to the larger market-level reality check.
Scope, timeline, and commercial model
One market-level pilot focused on materializing load
- Scope
- 5 named large-load opportunities in one market
- Timeline
- 4 weeks
- Format
- Ranked load watchlist, weekly deltas, final readout
- Commercial model
- Fixed-fee pilot
- Working price target
- $12,000-$18,000
- Payment structure
- 50% upfront, 50% on final readout
Why this matters
Optionality looks like demand more often than power-side teams can afford
Power-side teams lose time when optionality looks like demand. A named-load reality check helps you decide which announced loads are credible, which ones are early or delayed, where to commit technical diligence, and where commercial attention is likely to pay off first.
Proof
How the current snapshots act as proof
The existing AI Power & Site Readiness snapshots are the proof base for this engagement. They show how we frame infrastructure constraints, schedule slippage, confidence, and economic exposure.
They are not, by themselves, the market-level large-load watchlist. That watchlist is assembled with you around one market and a specific commercial objective.
Linked proof
Amazon - PECO TSA / Falls Township, PA - Phase 1
Named-campus proof page showing infrastructure timing, confidence, and delay-risk framing.
Linked proof
Applied Digital - Ellendale, ND - Phase 1
Named-campus proof page showing the gap between headline readiness and deliverable capacity.
Linked proof
Meta - Hyperion / Richland Parish, LA - Phase 1
Proof page showing how readiness, confidence, and delay exposure are translated into a decision view.
Linked proof
Microsoft - Wisconsin (Mount Pleasant / Kenosha axis) - Phase 1
Proof page showing benchmarked position and evidence-backed readiness scoring.
Linked proof
xAI - Colossus / Memphis-Southaven - Phase 1
Proof page showing how the methodology handles a high-visibility campus with material infrastructure questions.
Next step
Start with one named load or one market.
We will tell you which opportunities are likely to materialize, what the major blockers appear to be, and where you should focus first.