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AI Infrastructure Viability Framework · Human Signal

The L.E.A.C. Protocol

LITHOGRAPHY · ENERGY · ARBITRAGE · COOLING

A framework for understanding the physical constraints AI companies must address to maintain profitability.

Premise: Transitioning from infinite software margins to an era constrained by physical realities.

Explore the Framework About Dr. Floyd

The Four Constraints

L · E · A · C

Four binding physical constraints. Each one a chokepoint. All four together determine whether an AI company survives or leaks value.

L

Constraint One

Lithography

Control of semiconductor supply chain, especially photolithography equipment, is critical. Without direct access to silicon manufacturing, you are dependent on others' capacity.

Signal: @ASML
E

Constraint Two

Energy

Electrical grid is the limiting factor. AI training/inference require massive power. Securing gigawatt-scale power contracts is essential for operational models.

Signal: @CrusoeEnergy · @Leidos
A

Constraint Three

Arbitrage

Retail electricity pricing is unsustainable for large-scale AI. Success requires arbitrage: stranded energy, flare gas, off-peak power to reduce compute costs.

Signal: @Lambda · @CoreWeave
C

Constraint Four

Cooling

Thermodynamics is the ultimate constraint. High-performance computing generates enormous heat. Without adequate cooling infrastructure (water/thermal management), clusters cannot run. A fundamental solvency issue — not just a facilities problem.

Signal: @PathRobotics · @ArrayLabs · @VardaSpaceIndustries · @VulcanForms · @Hadrian · @Shift5

The Message

If your AI strategy does not address all four constraints, you are leaking value. Companies that solve these physical infrastructure challenges will outlast those focused purely on algorithmic improvements.

#SystemsArchitecture #GovCon #Compute #Energy #Semiconductors
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Dr. Tuboise Floyd

Developed By

Dr. Tuboise Floyd

Chief Sensemaking Officer · Human Signal  |  Editor in Chief, The AI Governance Record

Dr. Floyd is an independent AI governance researcher and the architect of the L.E.A.C. Protocol and Presence Signaling Architecture (PSA v1.0) — frameworks for restoring human visibility, institutional signal, and operational muscle memory in AI-disrupted environments. He developed the LEAC Protocol from forensic market analysis of AI infrastructure investment patterns, identifying the physical layer constraints that governance frameworks consistently miss.

Dr. Floyd's Mission The AI Governance Record ✦

Canonical IP Family · Human Signal

You Are Here

L.E.A.C. Protocol™

Lithography · Energy · Arbitrage · Cooling

Analysis

The Trust Gap

Structural Absence · Structural Insufficiency

Diagnostic

GASP™

Governance As a Structural Problem

Thesis

The Workflow Thesis

Three-Layer Operational Playbook

Practice

Noise Discipline

Cognitive Defense · Override Protocol

Architecture

PSA® · AIaPI™

Presence Signaling Architecture

Signal Validation

Hyperprompt™

Emergent Lexicon in PSA®

License & Terms of Use

Creative Commons Attribution-NonCommercial 4.0

CC BY-NC 4.0

The frameworks, documentation, and written works published by Human Signal — including but not limited to the Trust Gap, GASP™, The Workflow Thesis, Noise Discipline, L.E.A.C. Protocol™, Presence Signaling Architecture® (PSA®), AIaPI™, and Hyperprompt™ — are licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. To view a copy of this license, visit creativecommons.org/licenses/by-nc/4.0.

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Trademark Notice

  • ✦PSA® (Presence Signaling Architecture) — Registered trademark.
  • ✦GASP™ — Trademark claimed.
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Citation

If you use, reference, or build upon this framework in research, publications, or educational materials, please cite as:

Floyd, T. (2026). L.E.A.C. Protocol™. Human Signal. Retrieved from https://humansignal.io/leac-protocol