The Inference Economy: Where AI Margins Actually Come From in 2026

In this complimentary report, we will go through:

• The Inference Inflection: Why the AI industry's economic center of gravity has decisively shifted from training to inference — and why the cost of every user interaction, every agent task, and every API call is now the central unit economic of the entire stack.
• The Great Token Price Collapse: A data-driven breakdown of how frontier AI performance became 280× cheaper in under two years, what drove it, and why the compression is not over — with a forward view on where pricing floors may emerge.
• Who Actually Captures the Margin: A layer-by-layer anatomy of the AI inference value chain — from silicon to networking to cloud to foundation models to applications — exposing which layers are structurally profitable, which are subsidising adoption, and which are hollowing out fastest.
• The Inference-Time Compute Shift: How models like OpenAI o1 and DeepSeek R1 rewrote the cost function of AI by spending more compute at query time rather than training time — and what this means for GPU demand, token economics, and how capability will be priced going forward.

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