AI platforms that automatically absorb model improvements as margin expansion rather than competing with AI advances. Unlike traditional software that fights obsolescence with each model update, accretive platforms treat AI models as interchangeable components—swapping Mistral's 47 B-parameter quality at 13B costs, routing queries to optimal models in real-time, and converting every efficiency breakthrough into customer value or profit margin. These platforms represent infrastructure for the AI age: they don't build picks and shovels, they build picks that sharpen themselves.
The AI revolution will be dictated by three physical constraints—compute packaging capacity, energy availability, and organizational agility—that concentrate power in gravity wells. Whoever controls these choke points, not merely the best models, will shape the next decade of AI.
Gravity wells describe economic dynamics where scarce resources flow disproportionately to entities with the greatest ability to pay and deploy, creating self-reinforcing concentrations of power. In the AI economy, they form around critical bottlenecks in compute, power, and talent, determining who captures resources and who scrambles for scraps.