Everything in voice AI just changed: how enterprise AI builders can benefit

Despite lots of hype, "voice AI" has so far largely been a euphemism for a request-response loop. You speak, a cloud server transcribes your words, a language model thinks, and a robotic voice reads the text back. Functional, but not really conversational. That all changed in the past week with a rapid succession of powerful, fast, and more capable voice AI model releases from Nvidia, Inworld, FlashLabs, and Alibaba's Qwen team, combined with a massive talent acquisition and tech licensing deal by Google DeepMind and Hume AI.Now, the industry has effectively solved the four "impossible" problems of voice computing: latency, fluidity, efficiency, and emotion.For enterprise builders, the implications are immediate. We have moved from the era of "chatbots that speak" to the era of "empathetic