For decades, software pricing has centred on access, with seat-based SaaS becoming the dominant model. But AI is challenging that assumption. When one person can accomplish the work of ten, or an AI agent completes work without a human logging in, what exactly is the customer paying for? Drawing on real-world experience bringing AI capabilities to market through SpatialAgent within DATAMARK’s VEP platform, this session explores the emerging economics of AI products and the gap between the cost of delivering AI and how customers perceive value. We’ll examine where seat-based, usage-based, credit and outcome-based models fit, how to distinguish table-stakes AI from premium value, and how product teams can build monetization strategies that balance customer adoption with sustainable economics.