Voice AI is being measured where nobody is listening
AI-summarised brief · reviewed before publication
Gartner forecasts conversational AI will reduce contact‑centre labour costs by US$80 billion in 2026, with about 10 % of agent interactions automated. The shift is moving from chat to voice, especially in Asia where telephone remains the default channel for problem resolution. Current demonstrations show fluent, natural responses, but real‑world calls involve interruptions, language switches, and network noise. Vendors report response times measured at the AI model boundary (200–800 ms), a metric that does not reflect the end‑to‑end delay callers experience. The industry’s reliance on this internal metric obscures the true user experience.
💡 Why It Matters
- · The mismatch between vendor‑reported latency and actual caller perception can mislead enterprises into over‑investing in systems that appear fast but feel sluggish, undermining customer satisfaction and the promised cost savings.