Voice AI biggest unsolved challenges
What do you think are the biggest unsolved challenges in Voice AI that almost nobody is seriously working on right now?
Not “better ASR” or “lower latency” but deeper problems that could define the next generation of voice products/research.
Examples:
- Real-time conversational memory that actually feels human
- Emotion + intent understanding beyond sentiment analysis
- Interruptions/turn-taking that feel natural
- Voice-native UX instead of “ChatGPT but spoken”
- Long-term personalization without being creepy
- Multilingual/code-switching conversations
- Continuous ambient agents
- Social/companion dynamics
- Voice AI for kids/elderly/accessibility
- Real-time multimodal understanding (voice + environment + context)
Curious what people building/using Voice AI think is still fundamentally broken or missing.