"AI Token Prices Hit Record Lows" https://aibusinessweekly.net/p/ai-token-prices-alzheimers-reframe-ai-news-september-2-2026 1 big thing: This changes the AI cost conversation for B2B marketing teams #AI inference costs just dropped 43% in ten weeks. That sounds like good news. There is a catch. Why it matters: Cheaper tokens do not automatically mean a cheaper AI bill. Understanding why matters for every B2B team that is now budgeting AI spend as a line item. Driving the news: Token prices hit record lows as competition between model providers intensified and infrastructure efficiency improved dramatically. → But total AI spend is still climbing for most organizations — because lower unit costs are driving higher volume usage → The pattern mirrors what happened to cloud computing: per-unit costs fell while total bills grew Zoom in: The same dynamic is playing out across the AI stack. Cheaper inference is accelerating adoption, which is accelerating experimentation, which is accelerating spend. → For B2B marketing teams, this means the conversation has shifted from "can we afford AI" to "can we govern how much AI we're running" Yes, but: Cost compression also accelerates commoditization. If inference is cheap everywhere, differentiation moves back up the stack — to context quality, workflow design, and the humans building the systems. Be smart: Build your AI budget around outcomes, not tokens. A cheaper model running a poorly designed workflow costs more than an expensive model running a tight one. The bottom line: Cheaper AI is not simpler AI. The governance challenge just got bigger. https://aibusinessweekly.net/p/ai-token-prices-alzheimers-reframe-ai-news-september-2-2026 #AIStrategy #B2BMarketing