Voice will scale faster than most people expect, not because speech is better than text, but because it collapses interface friction. The bottleneck won’t be models — it will be how well voice systems are embedded into real workflows and accountability structures.
That $47B growth projection makese sense when you look at how many enterprise workflows still rely on slow, manual phone calls. The part about voice agents handling complex multi-turn dialoges in actual call centers is where the rubber meets the road, most current deployments are still pretty scripted. Real momentum willcome when latency drops below human perception thresholds.
Voice will scale faster than most people expect, not because speech is better than text, but because it collapses interface friction. The bottleneck won’t be models — it will be how well voice systems are embedded into real workflows and accountability structures.
That $47B growth projection makese sense when you look at how many enterprise workflows still rely on slow, manual phone calls. The part about voice agents handling complex multi-turn dialoges in actual call centers is where the rubber meets the road, most current deployments are still pretty scripted. Real momentum willcome when latency drops below human perception thresholds.