This session delved into the evolving landscape of AI monetization and pricing, emphasizing the shift from traditional SaaS subscription models to value-based pricing in the AI era. Speakers highlighted how AI pricing strategies, such as token-based or hybrid models, aim to reflect the true value delivered to customers, with companies like Salesforce adapting their pricing models multiple times within a year to stay competitive. Key challenges discussed included the declining margins in SaaS, the importance of balancing usage growth with operational costs, and the need for customer-centric billing experiences to address concerns like unpredictability and lack of transparency. The session also introduced frameworks for aligning pricing strategies with product autonomy and attribution, alongside operational considerations for implementing real-time metering, billing, and revenue recognition systems to support innovative pricing models effectively.