Meta Compute is forcing a redraw of the AI competitive landscape. The old map was organized around model capability; the new map is organized around infrastructure control.
The New Tier System
Tier 1: Vertically Integrated Infrastructure Owners
- Meta: Captive consumption + owned infrastructure + custom silicon
- Google: Captive consumption + owned infrastructure + custom silicon
- xAI: Building owned infrastructure with Musk’s capital backing
Tier 2: Cloud-Enabled Infrastructure Owners
- Microsoft: Owned infrastructure but horizontal cloud model
- Amazon: Owned infrastructure but landlord model, less AI-native
Tier 3: Infrastructure-Dependent Model Labs
- OpenAI: Microsoft-dependent
- Anthropic: Amazon/Google-dependent
Tier 4: Application Layer
- Everyone building on foundation models and renting compute
The Open Source Paradox
Meta open-sources Llama while hoarding infrastructure. This isn’t contradictory—it’s the Android playbook for AI.
If models are open, differentiation shifts to deployment scale. Meta can afford to commoditize models because it owns the infrastructure to deploy them.
The Strategic Question
Which tier are you in, and is that where you want to be?
Meta is betting that AI competition will be won at the infrastructure layer, not the model layer. The current landscape—where model labs capture attention and cloud providers capture revenue—may be transitional.
The endgame is vertically integrated infrastructure owners who control the full stack from silicon to applications.
This is part of a comprehensive analysis. Read the full analysis on The Business Engineer.









