Who this is for: technical decision-makers navigating the full AI stack — founders, platform leads, ML engineers, procurement leads, and AI governance leads who need to move between layers (e.g. from chip economics to inference infrastructure to model selection to application architecture) without losing the through-line. Each layer hub collects the analysis that maps to that layer's decisions; this index is the map between them.
How the layers are organized
Gen α AI sorts its coverage into five layers of the AI stack — Energy, Chips, Infrastructure, Models, and Applications — using a computed taxonomy applied to every article at render time. The commercial-priority order below (Infrastructure, Chips, Models, Applications, Energy) reflects where the largest concentration of buyer-intent decisions sits; it is an editorial priority, not a traffic or popularity ranking. Each layer has a dedicated hub that renders every piece the taxonomy classifies into it, with layer-aware sponsor, advisory, and newsletter CTAs.
Every per-layer count on this page is computed at render time from the same taxonomy rules in taxonomy.js that tag each article — there is no hand-curated selection and no traffic or popularity ranking behind the order. If a layer is deferred, it is because the taxonomy has not yet classified any energy-primary coverage into it; the hub will appear automatically once it does.