As AI adoption grows, token consumption comes under close scrutiny (opens original article in a new tab)

As AI adoption increases, businesses are scrutinizing token consumption and focusing on cost-per-outcome metrics, implementing controls like dashboards and approval mechanisms, and exploring cheaper models to manage expenses.

• Businesses are shifting from tracking AI tokens to evaluating their actual value due to high costs.
• Companies are implementing cost-per-outcome metrics, usage dashboards, and approval mechanisms for AI models.
• Cheaper AI models and consolidating tools are being explored to manage expenses and ensure measurable results.