token economics

Adoption dashboards feed a measurement chain where activation and consumption do not directly prove revenue or margin, while workflow changes support customer and quality outcomes.

The AI Productivity Measurement Trap: Why Token Counts, Copilot Usage, and Code Volume Can Mislead the Board

Published by

TL;DR AI adoption data is not the same as productivity evidence. Licenses assigned, active Copilot users, prompts submitted, tokens consumed, suggestions accepted, and lines of code generated can show that a tool is available and being used. They do not prove that the organization improved revenue, customer experience, end-to-end cycle time, quality, operating margin, or … Explore: The AI Productivity Measurement Trap: Why Token Counts,…

Human and agent work feed an enterprise application portfolio evaluated for keep, right-size, re-tier, consolidate, or exit decisions.

The SaaS Pricing Reset: What AI Agents Mean for Seats, Tokens, Outcomes, and Renewal Strategy

Published by

TL;DR AI agents are breaking the assumption that software cost should rise and fall with employee headcount. A single workflow may now combine premium user seats, an agent license, pooled credits, model tokens, API charges, and an outcome fee while the applications displaced by automation continue renewing in the background. CIOs should not respond by … Explore: The SaaS Pricing Reset: What AI Agents Mean…