Every wave of customer-facing technology arrives with the same promise: this time the balance of power shifts toward the customer. As we discussed in our recent CRMKonvo with Dan Miller , founder and analyst emeritus of Opus Research , voice AI is making that promise again, and this time both sides of the counter are armed. The more interesting questions are where the customer's weapon is kept, who pays its rent, and who gets to whisper to it while it works. TL;DR If you want to watch the full CRMKonvo, please go ahead here (optimized for smartphones) or here (optimized for tablets/computers). Else, be my guest and continue to read. Or do both … Automated Voice Was Never Built for You Dan has watched this market almost from its beginning, and he is blunt about its origin. Automated voice entered the contact center " almost entirely for cost savings ". Everything after that was repair work: better speech recognition, task-specific tuning for finance and travel, and...
Somewhere in your organization there is a slide claiming that agentic CX is about to get cheap. I bet, there is. It has a line heading down and to the right, it cites the collapse in token prices, and it is not lying about the collapse. Token prices really have fallen off a cliff. Still, the slide is wrong, Why? Because what you are buying is not tokens. It is workflows, and workflows have learned to consume tokens faster than tokens get cheaper. That is the inference paradox that Gartner Group talks about: the unit price falls, the invoice climbs, and neither number is a mistake. The Price Collapse Happened Somewhere Else Start with the part the vendors get right. Compiled inference-cost data from a16z, Epoch AI and Stanford's AI Index puts GPT-3-equivalent quality at roughly $60 per million tokens in late 2021 and about $0.06 by late 2024, a thousandfold drop, with price-performance improving at a median 50x per year and closer to 200x per year since the start of 2024. Goldm...