When we talk about the future of AI voice, the conversation usually revolves around one metric: realism. “Can it fool a human?” While hyper-realism is impressive, I believe it is the wrong target. As someone who spent years in industrial efficiency before entering the AI space, I’ve learned that in the real world, speed and identity matter more than perfect fidelity.
My journey didn’t start in Natural Language Processing (NLP). It started in industrial invention—specifically, converting waste into energy. In 2013, I was awarded “World’s Best Inventor” for this work. That experience taught me a brutal lesson: if a system isn’t efficient under constraints, it fails. I brought this “industrial efficiency” mindset into building MorVoice.
Here is why I believe the next wave of voice AI won’t just be about sounding human, but about behaving efficiently and respecting ownership.
1. Speed is a Product Requirement, Not Just a Metric
In the current AI landscape, we see a race toward massive models that require heavy compute. But for a creator, latency is friction.
If you are a content creator making short-form videos, or a developer building a real-time agent, you work in a tight loop: Generate → Listen → Tweak → Regenerate. If the AI takes ten seconds to generate a sentence, that creative flow is broken.
At MorVoice, we made a deliberate bet on speed. We optimized our architecture for seconds-level generation because we believe that inference cost and latency are the biggest bottlenecks preventing AI from scaling. The future belongs to tools that allow high-frequency iteration, not just cinematic, audiobook-grade perfection.
2. Voice is an “Identity Object,” Not Just a Waveform
Most founders in the voice space come from linguistics or NLP backgrounds. My background includes C++, game engines, and 3D rendering pipelines. This changes how you see the world.
In a game engine, an object has persistence. It has ownership rules. It has an identity that carries across different scenes. I view voice the same way. A voice shouldn’t just be a temporary audio wave; it should be a persistent identity object.
This is crucial for the “Agent Web” or the Spatial Web. As we move toward a world filled with autonomous agents and avatars, voice becomes the primary interface. If an agent’s voice changes randomly or lacks a consistent identity, the user loses trust. We need infrastructure where a voice identity can be created, managed, and reliably carried across different projects—just like a 3D asset in a game.
3. Solving the “Voice Theft” Crisis with Ownership
We have all seen the headlines about AI companies scraping voices without permission. The current norm is “train first, litigate later.” This is unsustainable for a regulated future.
This is where my interest in tokenization and on-chain economics comes in—not for crypto speculation, but for enforcement.
Earlier attempts at “Voice NFTs” failed because they were just collectibles without operational rules. You could “own” a voice, but you couldn’t stop someone else from using it. Today, technology allows us to treat enforcement as a product requirement:
- Consent: Proving the original speaker agreed to the clone.
- Provenance: Tracking where the voice data came from.
- Gatekeeping: Blocking monetization if the user doesn’t hold the rights.
At MorVoice, we believe in a “permissionless” market for tools, but a “permissioned” market for identity. You should be able to use the software freely, but if you want to monetize a specific voice identity, you must prove you have the rights to it.
4. The Split: Personal vs. Branded Voices
Looking ahead, I see the market splitting into two distinct paths.
First, Personal Contexts: People will want agents that sound like them or their loved ones for private interactions. This increases trust and intimacy.
Second, Commercial Contexts: Brands and regulated industries will move toward clearly synthetic or “branded” voices. Why? To avoid deception. In a commercial setting, users need to know if they are speaking to a human or an AI. Clarity is the ultimate requirement.
Conclusion
The “future of AI voice isn’t just about fooling the ear. It is about building an infrastructure that is efficient enough to run in real-time and robust enough to respect legal ownership.
We are moving away from the “Wild West” of scraping data toward a structured ecosystem where voices are licensed assets. Whether you are an indie creator or an enterprise, the tools you choose should prioritize speed, consistency, and clear rights. That is the only way this technology scales sustainably.About the Author: Mor Monshizadeh is the Founder of MorVoice and the former Co-Founder & CTO of Mondial AI. He was recognized as the World’s Best Inventor in 2013.