Token Economics

This page may contain stale information. Last updated: 2026-06-24

Definition

Token economics describes the cost structure of LLM usage measured in tokens (input/output units). As AI coding vendors shift from seat-based to consumption-based pricing, token economics becomes a primary driver of enterprise AI budgets.

Key Points

• 2028 forecast: gartner predicts AI coding costs surpass average developer salary by 2028 (2026-06-24-gartner-ai-coding-costs-developer-salary-2028)
• Cost escalation: Bills jumping from $20–$100 to $2,000–$5,000/dev/month; extreme cases $20,000
• Geography-neutral pricing: Token costs don’t vary by location — in India/Turkey may already exceed senior engineer salaries
• Vendor transparency gap: Many providers lack clear token billing visibility
• Mitigation: Task classification, model routing, context engineering, sprint retrospective token reviews
• Memory efficiency: engram and similar approaches target token reduction via organizational memory layers

Related

• ai-coding-tools
• gartner
• software-engineering
• developer-productivity
• organizational-memory
• engram
• copilot-pricing-2026

Sources

• 2026-06-24-gartner-ai-coding-costs-developer-salary-2028
• 2026-06-24-gartner-ai-coding-costs-official
• 2026-06-24-gartner-ai-coding-costs-theregister