Industry leaders are signaling a major transition as the inference inflection point arrives, shifting the focus from model training to active reasoning and token generation. This surge is driving unexpected demand for CPU compute and sandbox environments, as reinforcement learning and production agents require massive amounts of traditional processing power alongside GPUs. Executives highlight that the need for inference capacity has grown exponentially, creating a strategic scramble for hardware resources.