Pricing AI: Finding the Right Metric for Value

How should companies price AI products when usage, costs, and customer value can vary so dramatically? In this episode of the LogiSense podcast, pricing expert Mark Stiving joins Tim Neil to discuss AI pricing, AI monetization, usage-based pricing, hybrid pricing, credits, tokens, and the challenge of choosing the right pricing metric. As AI changes the economics of software, many companies are experimenting with token-based pricing, consumption-based models, credits, subscriptions, and outcome-based pricing. But according to Mark, the fundamentals of pricing have not changed: customers are still willing to pay based on the value they receive. The challenge is finding a pricing metric that reflects that value while also accounting for the very real infrastructure and compute costs associated with AI. In this conversation, Mark and Tim explore: • Why AI has made poor pricing decisions more costly • Why pricing based purely on tokens can become cost-plus pricing • How companies should evaluate the right pricing metric • The difference between activity-based, output-based, and outcome-based pricing • Why outcome-based pricing remains difficult for many companies • How hybrid pricing combines predictable subscription revenue with usage • Why credits effectively function as a private currency • The advantages and disadvantages of credit-based pricing • Why AI companies need flexibility as their monetization models evolve • Why AI pricing could eventually become simpler, not more complex For companies building AI products, SaaS platforms, AI agents, cloud services, or other consumption-based offerings, the discussion highlights an important principle: the metric you choose to charge for may be one of the most important monetization decisions you make. Learn more about how LogiSense helps companies meter, rate, and monetize complex usage and consumption models at LogiSense.com. #AIPricing #AIMonetization #UsageBasedPricing #ConsumptionBasedPricing #UsageBasedBilling #AI #SaaS #PricingStrategy #OutcomeBasedPricing #HybridPricing