{"version":"1.0","type":"card","id":"082a3bae-1019-4da9-bd41-863d72b385d8","url":"https://stacklist.com/card/082a3bae-1019-4da9-bd41-863d72b385d8","title":"How LLMs Are Changing Enterprise Conversations","source_url":"https://masterofcode.com/blog/voice-ai-trends","note":"Why unified reasoning and generation in a single pass is the architectural shift that takes real-time voice AI from lab concept to production, and why the next chapter of conversational AI is agentic and multimodal by default.","image":{"url":"https://ucarecdn.com/349096d7-3eef-40ec-8792-d591b4826f80/","alt":"How LLMs Are Changing Enterprise Conversations","width":6720,"height":4032},"stack":{"id":"8521690e-e828-43bf-a05b-91287c60612b","title":"The Future of Voice","url":"https://stacklist.com/c/technology/stack/8521690e-e828-43bf-a05b-91287c60612b"},"created_at":"2026-07-20T09:13:44.900Z","updated_at":null,"aco":{"summary":"Voice AI trends for 2026 are analyzed across ten shifts driving the market from $2.4B to $47.5B, covering end-to-end speech-to-speech models, reinforcement learning for voice control, and enterprise adoption gaps. The article highlights major funding rounds, emerging technologies from OpenAI, NVIDIA, and others, and explains how organizations can turn conversational AI pilots into measurable business outcomes.","tags":["voice-ai","llm","enterprise-infrastructure","speech-to-speech","conversational-ai","reinforcement-learning","market-trends"],"key_entities":[{"name":"Ivan Pohrebniyak","type":"person","confidence":0.95},{"name":"ElevenLabs","type":"organization","confidence":0.95},{"name":"Parloa","type":"organization","confidence":0.9},{"name":"Decagon","type":"organization","confidence":0.9},{"name":"Deepgram","type":"organization","confidence":0.95},{"name":"OpenAI","type":"organization","confidence":0.98},{"name":"NVIDIA","type":"organization","confidence":0.97},{"name":"Moonshot AI","type":"organization","confidence":0.9},{"name":"McKinsey","type":"organization","confidence":0.9},{"name":"MIT","type":"organization","confidence":0.85},{"name":"Kyutai","type":"organization","confidence":0.85},{"name":"gpt-realtime","type":"technology","confidence":0.92},{"name":"Kimi-Audio","type":"technology","confidence":0.88},{"name":"PersonaPlex","type":"technology","confidence":0.88},{"name":"Voila","type":"technology","confidence":0.85},{"name":"Hibiki-Zero","type":"technology","confidence":0.85},{"name":"end-to-end speech-to-speech models","type":"concept","confidence":0.95},{"name":"GRPO (Group Relative Policy Optimization)","type":"concept","confidence":0.88},{"name":"voice AI market growth","type":"concept","confidence":0.9},{"name":"ICASSP 2026","type":"event","confidence":0.88}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-20T09:14:06.616Z"},"token_counts":{"approximate":4605,"cl100k":3827},"content_hash":"sha256:a43671c411f045fd556f87ddd42fb65a7e5367866c59e0d9aed82de090bedc62","acp_version":"0.2","body_available":true,"body_tokens":4605,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/082a3bae-1019-4da9-bd41-863d72b385d8.json","html":"https://stacklist.com/card/082a3bae-1019-4da9-bd41-863d72b385d8","md":"/api/public/card/082a3bae-1019-4da9-bd41-863d72b385d8.md","stack_json":"/api/public/stack/8521690e-e828-43bf-a05b-91287c60612b.json"}}