Founders, we keep talking about AI as if it were one market. It is not. I believe that, following an evolutionary process, AI is splitting into at least 4 distinct tiers with different hardware requirements, different economics, different control structures, and different strategic consequences.

A four-tier architecture is emerging

Tier 1 — Embedded intelligence

The Layer of Ubiquity

Small, cheap, fast AI models running on phones, laptops, edge devices, and inside everyday software.

• Startup Play: Distribution. Think Apple Store 2.0

Tier 2 — Sovereign personal and team intelligence

The Layer of Ownership - Where we see a gigantic opportunity for startups.

Powerful systems that individuals, teams, and smaller organizations can control directly: totally private, persistent, personalized intelligence.

• Startup Play: Product and Ownership. Think SaaS 3.0

• The Opportunity: The most disruptive AI isn’t “superintelligence”—it is owned intelligence.

Tier 3 — Enterprise-scale centralized intelligence

The Layer of Institutional Machinery

Where large corporates and governments deploy powerful centralized AI systems for operational leverage.

• Startup Play: Integration and Trust.

Tier 4 — Frontier intelligence

The Layer of Strategic Assets

At the top sits the bleeding edge: the most advanced systems at the outer edge of compute, energy, capital, and scientific ambition.

• Startup Play: Infrastructure and State-Capital game.

The real question is no longer simply whether models will get smarter. They will. The real question is: which intelligence becomes abundant, which remains scarce, and, more importantly, who controls each layer.