The Rise of Enterprise Voice AI

⏱️ Your Morning Brief (TL;DR)

Welcome back,

Let’s talk about voice AI this week.

From handling customer service calls at scale to building apps through conversation, business are quickly adopting AI through voice.

We dive into Deepgram's State of Voice AI report and uncover the insights of 400 leaders who now see voice AI as essential, not optional.

In this email, you’ll find:

• 1 deep dive into the state of voice AI

• 4 key takeaways

• 8 curated reads around voice AI

Let’s dive in 💦

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 💡 This Week’s Deep Dive

From Legacy IVR to Intelligent Voice Agents

There’s a shift in capabilities, new AI agents are starting to sound and respond more like humans, just give Sesame a try. While 80% of surveyed organizations use some form of voice agent, only 21% are "very satisfied" with their existing technology.

Accelerated Adoption

Voice AI is becoming essential, 97% of companies already using it, 67% considering it core to their business, and 84% planning to spend more on it next year.

Uses Cases Beyond Customer Service

Customer service automation is the clear voice AI use case today for companies., followed by meeting summarization and transcription. Going beyond these three use cases, voice AI is expanding into:

• Sales Enablement - Companies are using voice AI to gain more insights to upsell and cross-sell opportunities.

• Recruiting - One-third of respondents see big potential to improve recruiting efforts.

• AI team members - About 15% believe AI colleagues joining their teams. Read our issue on how AI improves team dynamics in case you missed it.

• Industry Specific Use Cases - Different industries are finding their own specialized uses, from taking restaurant orders, retail FAQ handling, policy quoting for insurance providers, and medical appointment scheduling.

GPTLDR Takeaways

Improved language models (LLMs) are unlocking agents that can actually understand context and respond naturally. This provides companies many advantages:

• Uncover conversational insights from conversations like customer sentiment.

• Skip text conversion. Improvements in speech-to-Speech (STS) technology will create more natural conversations and lead to skipping text conversion completely.

• Invest strategically in voice AI: Most companies are boosting their voice tech budgets, allocate resources to stay competitive.

• Make conversations feel human: Your customers can tell, be upfront, and focus on voice AI with quick responses and natural-sounding voices that won't frustrate your customers.

• Customize a little. Recognize the importance of fine-tuning voice models to your specific industry and terminology for improved accurac

📚 Interesting Reads

• Klarna AI assistant handles two-thirds of customer service chats in its first month

• Replit - What is Vibe Coding?

• Ethan Mollick on speaking with AI

• Ethan Mollick on ‘vibe coding’ and speaking things into existence

• 10 Ways AI Powered Sales Enablement Can Boost Performance

• “I tried using vibe coding to build my own productivity app”

• Natural language is now the only no-code tool that matters

• IBM - How talking tech could reshape business

 🤔 AI Thoughts

GPTLDR’s take - ‘Vibecoding’ is the new trend using AI that allows individuals with limited technical skills to build applications with voice. AI tools are becoming more capable but expertise remains important. As we interact with these tools more, there’ll be a growing need to upskill and build "prompt literacy".

🗳️ This Week’s Poll

 ➜ Until Next Week

Voice AI is changing how businesses operate, and leaders are already ahead of the curve.

Remember to create better experiences and find ways to uncover insights that were previously hidden in conversations. The shift from clunky IVR systems to intelligent, human-like voice agents represents a fundamental change in how companies interact with customers.

We'll be back next week with more AI insights to help you stay ahead.

Stay curious,
The GPTLDR team

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