The Great Inversion
| Dimension | Before (Pre-AI Era) | After (AI Era) |
|---|---|---|
| Binding Constraint | Algorithms & Data ✓ | Compute, Power, Chips (Physical) ! |
| Value Capture Point | Software Layer ✓ | Infrastructure Layer ! |
| Infrastructure Status | Commoditized (rent from others) ✓ | Strategic Moat (must own) ! |
| Compounding Mechanism | Attention alone ✓ | Infrastructure + Scale ! |
The New Physical Constraints
1. Compute Capacity
Best models mean nothing without capacity to run them at scale.
Waiting in GPU queues = existential risk
2. Power Availability
Data centers need gigawatts. Grid can’t keep up with demand.
Meta’s response: 6.6 GW nuclear secured
3. Chip Supply
Nvidia controls the bottleneck. Dependency = vulnerability.
Meta’s response: MTIA custom silicon + Rivos
The Consequence
Companies with best models but no infrastructure: Waiting in line for GPU allocations
Companies that own their infrastructure: Control their own destiny
Meta faced a choice: remain dependent, or transform completely. They chose transformation.
This is part of a comprehensive analysis. Read the full analysis on The Business Engineer.








