AI Token Costs: Why Cheap AI Still Gets Expensive | Ep. 2

AI token costs have collapsed, but a cheap model call does not make an AI workflow cheap, reliable, or safe. In Episode 2 of The SaaS Reckoning, Cristian explains what AI tokens are, why equivalent model capability has become dramatically less expensive, and where the real operating costs move after the model price falls. You will learn why integrations, testing, permissions, maintenance, human review, failed agent loops, and bad source data can cost far more than the tokens themselves. Construction examples show the difference between an impressive prototype and a dependable production workflow—from bid invitations and field notes to project updates and billing documentation. Continue with Episode 3 for a practical build-vs.-buy framework that accounts for maintenance, risk, adoption, and the full cost of ownership. #AITokens #AIAutomation #BusinessAI Download our Artificial Intelligence in Construction ebook to learn where practical AI workflow automation can protect margins and improve operations: https://www.bluthrive.com/ai-for-cons... 00:00 The 1,000-Fold AI Price Collapse 01:28 What “Equivalent Quality” Really Means 04:10 Cheap Capability vs. Frontier AI 05:32 Two Ways AI Changes Software 07:03 The Cheap-Token Cost Trap 08:57 Why AI Agents Create New Risks 10:19 High AI Adoption, Low Trust 11:39 Where the Cost Moves 13:48 Adoption Without Another Login 15:36 The Five Costs of an AI Workflow 16:47 Bid-Invitation Automation in the Real World 18:32 Cheap Creation Is Not Cheap Ownership 20:15 Should You Build Instead of Buy?