The AI Industry Is Measuring the Wrong Thing. Here Are the 6 Metrics That Actually Matter.

1. 1Identify the limitations of current token-based metrics
2. 2Calculate Value Per Token (VPT) to measure AI output value
3. 3Apply Total Cost of Consumption (TCC) to assess AI product costs
4. 4Use Margin Achievement Ratio (MAR) to evaluate AI product profitability
5. 5Implement AI Efficiency Score (AES) to optimize AI resource allocation
6. 6Analyze PRI and CPF metrics to refine AI product pricing strategies

AI product managers and developers can benefit from understanding these metrics to build and price AI products effectively

💡 Current AI metrics focus on token consumption, not value produced. New metrics like VPT and TCC can help measure AI product value and profitability

💡 6 new metrics to measure AI product value: VPT, TCC, MAR, AES, PRI, CPF. Move beyond token consumption!