The Rise Of The AI Inference Economy

The AI industry has shifted from focusing on training large language models to optimizing inference—the process of actually running these models in real-world applications. This transition occurred because inference now represents up to 90% of a model's lifetime costs, with recurring operational expenses that stack up with every user query, unlike training's one-time investment. The global inference market is projected to exceed $250 billion by 2030, driving billions in investment toward startups and infrastructure providers promising more efficient AI deployment.