I actually did it. I told my smart speaker to, well, get lost. For good.
It was 6 AM, and I was trying to get my morning started right. I have a routine: wake up, meditate, then listen to a specific playlist to get my energy up for the day. Simple, right? Apparently not. For the fifth time in a row, my voice assistant, which will remain nameless to protect the guilty, played a completely random song. I asked for “Eye of the Tiger” to get pumped for a big meeting, and it gave me a sea shanty. A sea shanty! At 6 AM! In that moment of pure, unadulterated frustration, I unplugged the device and threw it in a drawer. It’s probably still there.
That little black cylinder was a perfect metaphor for the promise of voice AI: a sleek package that looked great on the shelf but consistently failed to deliver when it mattered. We were all sold a vision of the future, a Jarvis-like assistant that would anticipate our needs and seamlessly integrate into our lives. What we got was a glorified egg timer that occasionally played the wrong music.
For years, this has been the state of voice AI. Clunky, robotic, and more of a party trick than a productivity tool. But something has changed. The ground is shaking, and it’s not another California earthquake. The AI voice revolution is here, and it’s not just a gradual improvement. It’s a seismic shift. As someone who has been on the front lines of tech for over a decade, with two exits and over 200 angel investments in companies like Anthropic, OpenAI, and Scale AI, I can tell you that this is one of the most significant technological waves I’ve ever witnessed.
From Robotic Hostage Videos to Hyper-Realistic Conversations
I remember the first time I heard a computer talk. It was in the 90s, and it sounded like a robot reading a script during a hostage negotiation. Every word was flat, lifeless, and devoid of any emotion. It was a novelty, for sure, but it was also deeply unnatural. We got used to it, of course. We learned to live with the robotic voices in our GPS and the automated menus on customer service lines. We accepted that this was the price of convenience.
But the new generation of conversational AI is a different beast entirely. We’ve moved beyond simple text-to-speech. We’re now in the realm of generative voice models that can create speech that is virtually indistinguishable from a human’s. These models don’t just read words; they understand context, intonation, and even emotion. They can adopt different personas, accents, and speaking styles. I’m talking about AI that can be a compassionate therapist, a charismatic salesperson, or a hilarious podcast co-host.
This isn’t some far-off future. I’m seeing it happen right now. I’ve invested in a company that’s building AI-powered sales agents that are already outperforming their human counterparts. These AI agents can make hundreds of calls a day, never get tired, never have a bad day, and remember every single detail from previous conversations. The results are staggering. We’re talking about a 30-40% increase in conversion rates. Think about the implications of that. It’s a complete game-changer for the sales industry.
Why I'm All In on AI Voice
As an angel investor, my job is to see the future. Not in a crystal ball, mystical sense, but by identifying patterns and connecting the dots. I look for three things: a massive, untapped market; a technology that’s reached a critical inflection point; and a team of relentless founders who will stop at nothing to win. AI voice checks every single one of those boxes, and then some.
The market? It’s literally every human on the planet who speaks. We are biologically wired for voice. It’s our most natural, intuitive interface. For decades, we’ve been forced to contort ourselves to the limitations of the machine, learning the arcane languages of keyboards and touchscreens. Now, for the first time, the machine is learning our language. This is a paradigm shift of epic proportions.
I remember the exact moment this clicked for me. I was in a pitch meeting with a young founder, and he was a nervous wreck. He was brilliant, his tech was solid, but he was bombing the pitch. He was rambling, sweating, and completely failing to connect with the investors in the room. I’d seen it a hundred times before. And I thought to myself, “What if he could practice his pitch with an AI that could give him real-time feedback? What if he could simulate this exact meeting, with these exact investors, a dozen times before he ever set foot in the room?”
That was the genesis of the AI Voice Manager I’m building. It’s a tool born from my own experiences, both as a founder who has pitched and been rejected more times than I can count, and as an investor who has seen countless brilliant ideas fail because of a poor pitch. It’s not just about practicing a script. It’s about building confidence. It’s about learning to read the room, even when the “room” is a set of algorithms. It’s about giving every founder, regardless of their background or connections, a fighting chance.
This is why I’m so bullish on this space. It’s not just about creating cool new gadgets. It’s about empowering people. It’s about democratizing access to information and opportunity. It’s about building a future where technology adapts to us, not the other way around.
The New Wave of Voice-First Applications
So where is this all going? It’s not just about smarter speakers or better sales agents. We’re on the cusp of a Cambrian explosion of voice-first applications that will fundamentally change how we interact with technology. Here are a few of the areas that I’m most excited about:
AI Podcasting and Content Creation: The creator economy is booming, but producing high-quality audio and video content is still a major barrier for many. I’m not just talking about the technical skills required, but the time and effort it takes to record, edit, and produce a professional-sounding podcast. I’ve invested in a company that’s building a platform that allows anyone to create a studio-quality podcast in minutes, just by typing a script. The AI can generate a realistic voice, add music and sound effects, and even create a transcript and show notes. This is going to unleash a new wave of creativity and democratize the world of podcasting.
Hyper-Personalized Education and Training: Imagine a world where every student has a personal tutor, available 24/7, that can adapt to their individual learning style. This is the promise of AI-powered education. I’m seeing companies that are building AI tutors that can teach you a new language, help you prepare for an exam, or even teach you how to code. These tutors can listen to your questions, provide personalized feedback, and create a customized learning plan just for you. This has the potential to revolutionize education and make learning more accessible and effective for everyone.
The End of Bad Customer Service: We’ve all been there: stuck in an endless phone tree, yelling “representative” at a machine that doesn’t understand you. It’s a universally frustrating experience. But it’s about to become a thing of the past. I’ve invested in a company that’s building AI-powered customer service agents that can resolve over 80% of customer issues without ever needing to escalate to a human. These agents are available 24/7, they never get angry or frustrated, and they have access to all the information they need to solve your problem quickly and efficiently. This is not only going to save companies billions of dollars, but it’s also going to make our lives a whole lot less frustrating.
AI Companionship and Mental Health: This is a more controversial one, but I believe it has the potential to do a lot of good. Loneliness is a growing epidemic, and many people are struggling with their mental health. While AI can never replace human connection, it can provide a valuable source of companionship and support. I’m seeing companies that are building AI companions that can have deep, meaningful conversations, remember your life story, and provide a non-judgmental listening ear. For people who are isolated or struggling, this could be a lifeline.
The Future is a Conversation, But It's Not Without Its Challenges
I’m painting a rosy picture, I know. And I am genuinely optimistic. But I’m also a realist. This technology is not a silver bullet. There are significant ethical challenges that we need to address head-on. What happens when AI voices become so realistic that we can no longer tell the difference between a human and a machine? How do we prevent this technology from being used to create deepfakes, spread misinformation, or manipulate people? These are not easy questions, and I don’t have all the answers. But I know that we need to have a public conversation about these issues. We need to build safeguards into the technology from the very beginning. And we need to hold ourselves to the highest ethical standards.
I’m a big believer in the “move fast and break things” ethos of Silicon Valley, but not when it comes to something as powerful as this. We have a responsibility to build this technology in a way that benefits all of humanity, not just a select few. This means being transparent about how the technology works, giving users control over their data, and building in mechanisms to prevent misuse. It also means being thoughtful about the societal impact of this technology. What happens to the millions of people who currently work in call centers or sales? We need to have a plan for how we’re going to retrain and reskill these workers for the jobs of the future.
A Call to Action for the Bold and the Brave
This is not just another great article about AI voice. This is a call to arms. To the entrepreneurs, the engineers, the creators, the dreamers: the time to build is now. We are at the very beginning of a new technological revolution, and the opportunities are boundless. The future is a conversation, and it’s waiting for you to join in.
Don’t be afraid to think big. Don’t be afraid to challenge the status quo. And don’t be afraid to fail. I’ve failed more times than I can count. I’ve launched products that nobody wanted, I’ve hired the wrong people, and I’ve made just about every mistake in the book. But every failure was a lesson. Every setback was a setup for a comeback. And I wouldn’t be where I am today without them.
I eventually did get a new smart speaker. It’s a different brand, and it’s a whole lot smarter than the last one. It still gets things wrong sometimes, but it’s learning. And every time I use it, I’m reminded of how far we’ve come, and how far we have yet to go. The journey is just beginning. And I, for one, can’t wait to see what’s next.
Frequently Asked Questions
What's the most common pushback you get on this?
People often push back by citing exceptions or edge cases. And they're usually right that exceptions exist. But building a strategy around exceptions rather than patterns is a losing game for most founders.
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.