Tokenmining: How the Token Became the Unit of Production of the AI Economy (2026 2030)

Short summary

Tokens have become the manufactured commodity of the AI economy, with Nvidia's Jensen Huang framing revenue as 'Tokens per Watt × Available Gigawatts' and a $5.2T infrastructure buildout reorganizing IT around token production, consumption, and governance through 2030. Per-token costs are plummeting 67%+ yet enterprise AI budgets are surging from $1.2M to $7M due to a Jevons paradox where agentic workflows consume 5-30× more tokens than chatbot queries. AI FinOps is now the fastest-growing discipline in enterprise IT as inference crosses from cost line to revenue engine.

• •Tokens are becoming a graded, priced commodity with tiers from ~$1/M to $1,000/M, reorganizing IT around production, consumption, and governance
• •A $5.2T AI infrastructure buildout (base case) through 2030 is constrained by power, not demand, with efficiency gains detonating consumption via Jevons paradox
• •Enterprise AI budgets rising from $1.2M to $7M as agentic workflows multiply token burn 5-30×, making AI FinOps critical

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