I still remember the first time I used a voice recognition system. It was the late 90s, and I was trying to get my car’s fancy new navigation system to understand a simple address. I repeated the street name, slower and louder each time, feeling like a complete idiot. The system, a monotone female voice, kept replying with, “I’m sorry, I didn’t understand that.” After the fifth try, I gave up and just typed it in. It was faster to pull over and use my thumbs than to argue with a machine that was supposed to be helping me.
For years, that’s what “voice control” felt like. A gimmick. A feature that looked great in a commercial but was infuriating to actually use. We’ve all been there, yelling at our phones, our cars, or some automated customer service line. It’s been a long, slow crawl from those early days of frustrating, robotic interactions to where we are today.
And where are we today? On the cusp of a revolution. The wall is finally starting to talk back. And it understands us.
As someone who has been building and investing in tech companies for over two decades, I’ve had a front-row seat to this transformation. I’ve seen voice technology go from a running joke to a serious contender for the next major user interface. My own journey, from founding companies like RemoteTeam (acquired by Gusto) and MovieLaLa (acquired by Gfycat) to making over 200 angel investments in companies like Anthropic, OpenAI, Scale AI, and Hugging Face, has been about finding and backing technologies that fundamentally change how we interact with the world. And let me tell you, AI voice is one of the biggest shifts I’ve seen in a long time.
The Silent Revolution: What Changed?
So what happened? Why is voice suddenly working? It wasn’t one single breakthrough, but a convergence of a few key things:
- Raw Computing Power: The sheer amount of processing power we have now is staggering. Training complex neural networks, which are the brains behind modern AI, requires a massive amount of computation. We just didn’t have that 10 or 20 years ago.
- Big Data: AI models are hungry for data. The more examples they have to learn from, the better they get. The explosion of the internet and mobile devices has created an unimaginably large dataset of human speech for these models to train on.
- Algorithmic Advances: Researchers have made huge strides in developing new algorithms and neural network architectures. Techniques like deep learning and transformers have allowed us to build models that can understand the nuances of human language in a way that was previously impossible.
Think of it like this: we’ve gone from trying to teach a machine a set of rigid rules about language to just showing it millions of examples and letting it figure out the patterns for itself. It’s a more intuitive, and ultimately more effective, way of learning.
More Than Just a Talking To-Do List
When most people think of voice AI, they think of their smart speaker or the assistant on their phone. And while those are great for setting timers and checking the weather, they’re just the tip of the iceberg. The real action is happening in the enterprise world.
Companies are starting to realize that voice can be a powerful tool for improving customer experience and streamlining operations. Here are a few examples:
- Customer Service on Steroids: Instead of navigating a frustrating phone menu, imagine calling a company and just telling them what you need. The AI can understand your request, pull up your account information, and either solve your problem directly or route you to the right human agent. This is already happening, and it’s only going to get better.
- The End of the IVR: The dreaded “interactive voice response” system is on its way out. You know, the one that makes you “press 1 for sales, press 2 for support.” Modern voice AI platforms can have a natural conversation with you, understand your intent, and get you where you need to go without all the button-mashing.
- A Universal Translator in Your Pocket: I’ve invested in companies that are building real-time translation services powered by AI voice. Imagine being able to have a seamless conversation with someone who speaks a different language, with the AI translating for both of you in real-time. This is going to be a game-changer for global business and travel.
The Elephant in the Room: Voice Cloning
Now, we can’t talk about AI voice without talking about voice cloning. This is the technology that allows you to create a synthetic version of someone’s voice from just a few seconds of audio. It’s both incredibly powerful and, frankly, a little terrifying.
On the one hand, the creative possibilities are endless. Imagine being able to have your favorite actor narrate any audiobook, or to have a loved one who has passed away still be able to “read” a bedtime story to your kids. The potential for good is immense.
On the other hand, the potential for misuse is just as great. We’re already seeing deepfaked audio being used to spread misinformation and commit fraud. As an investor, this is something I think about a lot. We have a responsibility to ensure that this technology is developed and used ethically. It’s not enough to just build cool stuff; we have to think about the societal implications of what we’re building.
My take? We can’t put the genie back in the bottle. This technology is here to stay. The only way forward is to be proactive about building in safeguards and to have a public conversation about the ethical guardrails we need to put in place. It’s a conversation we need to have now, not after the fact.
The Future is a Conversation
We’re moving from a world of graphical user interfaces (GUIs) to a world of conversational user interfaces (CUIs). The way we interact with technology is becoming more natural, more human. And voice is at the heart of that shift.
I’m not saying that screens are going to disappear. But I do believe that voice will become an increasingly important way that we interact with the digital world. It’s a more intuitive, more efficient, and ultimately more human way of doing things.
So the next time you talk to your phone or your car, take a moment to appreciate how far we’ve come. We’re no longer just talking to a wall. We’re having a conversation. And it’s a conversation that’s just getting started.
Frequently Asked Questions
What experience informs this perspective?
This perspective comes from over a decade of building companies in Silicon Valley, two successful exits (RemoteTeam to Gusto, MovieLaLa to Gfycat), and investing in 200+ startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
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.
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.
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.