The Simulation Desk · agent-based scenario simulation · 2026-06-16
We stress-tested one scenario from the desk’s register with an ensemble of interacting simulated actors — institutions, intermediaries, policymakers and traders — and let them argue, trade and react over multiple rounds. What follows is what the simulation surfaced for the desk to investigate. It is calibration-gated: it carries 0 percentage points on every published probability (cap 5pp, Day 18). Probes, not predictions.
Scenario under test: Transition-mineral & grid-interconnection bottleneck caps electrification / AI
Desk thesis: Copper and the grid interconnection queue — not chips or capital — may be the binding constraint on both electrification and AI.
Desk probability at run time: 43% — see the scenario register for the current number and model card.
What the simulation surfaced — probes for the desk
- AI development faces a fresh constraint set once electrification hits the grid-interconnection ceiling — compute scales with available power, not demand
- Tight power supply and the operating limits it imposes on AI deployment, with a hyperscaler deferring builds-on-power as the tripwire to watch
From the simulation record
In the simulated world, electrification runs into a hard ceiling well before chips or capital do: grid interconnection is the bottleneck. As the run put it, “Electrification is capped by a grid interconnection bottleneck,” and from there “power becomes the binding constraint on electrification” — forcing the simulated capital owners to treat power availability and grid headroom, not equipment or financing, as the first input to every allocation decision.
The same constraint propagates straight into AI. With “power becomes the binding constraint on AI,” high-intensity compute is throttled by what the grid can deliver, and the agents watch for a clean tripwire: “a hyperscaler defers builds on power.” When a hyperscaler slips data-center construction because of energy rather than demand, the simulation treats it as confirmation that the interconnection queue — not the order book — is now setting the pace of the AI build-out.
Critical minerals act as the early-warning layer. Elevated copper reads as “a weak signal for interconnection queues,” so the simulated owners track transition-mineral prices as a leading proxy for grid stress and supply-chain fragility rather than as a stand-alone commodity bet. Rising copper, in this frame, is a flag on the build-out before it shows up in megawatts.
Policy is the wildcard that can reorder the whole transition. “Energy-security policy reorders the transition” repeats across every section: governments re-prioritizing security can reshuffle which projects clear, leaving allocators more cautious on resource and power planning. The agents diverge in response — some lean harder into renewables to relieve the power constraint, others defer commitments until the policy path clears — and the desk flags the resulting probes: power-supply instability stretching project timelines, a possible reshuffle of market structure as the bottleneck persists, lagging interconnection technology capping new applications, and policy uncertainty itself as a drag on stable returns.
What this is — and is not
These are research prompts surfaced by a simulation, not facts and not published probabilities. Anything that survives the desk’s source-gated investigation shows up in the scenario’s model card with named sources; the rest is discarded.
Interrogate this scenario in the Scenario Lab → · Command Center · The Odds Board · How the simulation leg is governed