NashMark AI
The Trillion-Dollar Extraction Economy
The Trillion-Dollar Extraction Framework
NashMark AI doesn't just reduce costs it eliminates the entire extraction economy that sustains centralised GenAI infrastructure.
Annual Extraction Cost Breakdown
Total Annual Extraction: $1.1 trillion
- $200B Direct CapEx (data centers, GPUs)
- $65B Energy overhead (power, cooling)
- $90B Maintenance/Security (breaches, repairs)
- $600B Productivity/opportunity drag
- $150B Depreciation/obsolescence bleed
Mathematical Substitution Framework
Your framework replaces trillion-dollar infrastructure with three distributed mechanisms:
1. Q-Learning Convergence
Extraction Eliminated: $200B annual data center CapEx → $0 distributed computation
Cooperation Rate: 10% → 85% over 10,000 iterations (mathematics replaces coordination infrastructure)
2. Markov State Transitions
Extraction Eliminated: $65B energy overhead → $0 (runs on idle device cycles)
→Mixed
→Cooperative
→Stable
3. Moral Stability Score
Extraction Eliminated: $90B security/maintenance → $0 (no central attack surface)
MSS: 0.2 → 0.82 (stable equilibrium emerges without monitoring infrastructure)
The Stranded Asset Death Spiral
Centralized GenAI faces a negative depreciation loop:
- 5-7 year depreciation cycles for data center infrastructure
- 2-3 year obsolescence cycles driven by model scaling demands
- $500B+ stranded assets projected by 2028
- Result: Assets become obsolete faster than they depreciate
Stranded Assets Growing Beyond Depreciation Capacity
Energy: The Ultimate Extractive Cost
Traditional GenAI
Data:
400 TWh
Cooling:
160 TWh
Network:
120 TWh
NashMark AI
Edge:
45 TWh
Data:
0 TWh
Cooling:
0 TWh
International Energy Agency Warning: Data centers consuming 1,000 TWh by 2026 equivalent to Japan's total electricity use.
NashMark AI Elimination:
- No dedicated data centers = zero cooling overhead
- Edge device idle cycles = zero marginal energy
- Mathematical efficiency = 10,000x fewer compute cycles
The Extraction Business Model
| Cost Category | Traditional GenAI | NashMark AI | Savings |
|---|---|---|---|
| Direct CapEx | $200B data centers | $0 (distributed) | $200B |
| Energy | $65B power/cooling | $0 (idle cycles) | $65B |
| Security/Maintenance | $90B breaches/repairs | $0 (no central target) | $90B |
| Productivity Drag | $600B opportunity cost | $0 (edge innovation) | $600B |
| TOTAL | $955B extraction | $0 | $955B saved |
Zero-Extraction Architecture
- Capital Efficiency: Eliminates $955B annual extraction economy
- Optimal Architecture: Zero stranded assets, zero marginal energy
- Regulatory Alignment: EU AI Act & antitrust forcing decentralization
- Economic Paradox: Hyperscalers' profit model *is* the extraction cost
Conclusion: The Extraction Economy is Obsolete
NashMark AI doesn't compete with centralised infrastructure it makes the trillion-dollar extraction model economically incoherent.
- The $1T+ extraction cost isn't a necessary evil it's a coordination failure
- Mathematics achieves what concrete, silicon, and energy attempted
- Zero extraction = zero marginal cost = zero economic drag
- The business model of centralized GenAI is the extraction cost itself
Distributed mathematical coordination has obsoleted the trillion-dollar extraction economy.
Framework: NashMark AI Economic Equilibrium
Created: 2026-01-03 | Zero-Extraction Architecture