The Map of AI – Workshop

Twelve months ago, the consensus was that the AI stack was saturating. 2026 has proved that view almost completely wrong. The stack didn’t shrink — it grew from five layers to seven. The scaling — as explored in the emerging fifth paradigm of scaling — laws didn’t stop — they multiplied and started running in parallel. What is hitting a wall is not software. It’s physics: energy, silicon, and memory. And in front of that wall, the frontier is doing something strange — it’s splitting and converging at the same time.

This is the May 2026 update to the Map of AI. The thesis is simple. The AI industry is no longer a model race. It is a five-front race running across a seven-layer stack, where the binding constraint has moved from data to compute — as explored in the economics of AI compute infrastructure — , and from compute to energy. Within twelve months, the frontier will look more like an oligopoly than a leader-and-followers chart — and that has cascading consequences for capital, governance, distribution, and open source.