Congressional Hearing Telemetry

AI Infrastructure CapEx & Safeguard Pace Simulator

HEARING EXCERPT // TESTIMONY

“AI companies can stop whenever they want to.” — Treasury Secretary Scott Bessent

Ranking Member Maxine Waters challenged the thesis: once hyperscale capital & gigawatt grid commitments are contracted, is a voluntary pause economically or contractually possible?

Simulated Levers

Cluster Power Draw 12.5 GW
1 GW (Metro) 35 GW (Multi-state Grid)
Hyperscale CapEx Burn $45.0 B/yr
$10B $150B
Voluntary Pause Readiness 35 %
Contract Lock (5%) Full Discretion (95%)
Congressional Oversight Pressure 78 / 100
Laissez-Faire (10) Subpoena Climax (100)
BESSENT THESIS CHECK: When CapEx burn exceeds $30B/yr and long-term power purchase agreements (PPAs) exceed 10 GW, contractual momentum drops voluntary stoppage feasibility below 30%, making "they can stop whenever" an empirical illusion.
System Status
High Capital Momentum / Grid Constrained
Voluntary Feasibility
28.5 %
Sunken CapEx Locked
$ 142.5 B
Congressional Exposure
84 / 100
Causal Force Field Drag Nodes to Stress-Test
Compute/CapEx Grid Bottleneck Oversight Force
Momentum Inertia: High
Grid Lock Risk: Severe
Bessent Feasibility Ratio: 0.29x

1. The "Can Stop Anytime" Fallacy

Hyperscale AI companies sign 15-to-20 year Power Purchase Agreements (PPAs) and custom substation capital commitments. Halting computation does not eliminate financial debt servicing, transformer reservation costs, or hardware depreciation write-downs.

2. Maxine Waters Oversight Vectors

Congressional testimony probes systemic financial contagion: if AI clusters fail to generate sufficient operational software returns to service their grid and debt commitments, does the systemic risk migrate to regional utilities and commercial debt markets?

Simulating Hyperscale CapEx Inertia and Stoppage Feasibility

Read the explanation

Treasury testimony proposed that AI companies can pause compute anytime. This simulator evaluates whether capital and power commitments permit a voluntary halt. As cluster power draw reaches twelve point five gigawatts and CapEx climbs to forty-five billion dollars annually, contract commitments accumulate. Power and CapEx inertia subtract directly from readiness, compressing voluntary stoppage feasibility down to twenty-eight point five percent. Selecting Unchecked Scaling pushes CapEx to one hundred ten billion dollars, collapsing feasibility to twelve percent and triggering severe lock.

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