Cracking the Code: How Companies are Monetizing AI Today
AI Expands Pricing Power, but Only When Value Is Framed Correctly
Companies weaken monetization when they describe AI benefits narrowly as time savings. Marcos’ REAL framework helps teams anchor pricing to revenue impact, competitive speed, risk avoidance, and faster time to value so they can capture the full business outcome AI delivers.
Packaging Must Follow the Customer Experience, Not the AI Hype
AI capabilities should be packaged based on how customers encounter the value: improving the core product, enhancing advanced workflows, or unlocking entirely new products. This ensures price changes feel intuitive and enables companies to charge appropriately for increasingly powerful AI driven experiences.
Hybrid Pricing Models and Psychological Safety Are Essential for AI Monetization
AI creates variable costs and task driven value, which makes hybrid models with a base, allowance, and metered usage the strongest approach. Clear visibility, guardrails, and predictable spending patterns reduce customer anxiety and encourage adoption at scale.
Marcos Rivera – CEO , Pricing I/O