I used to think Deepfakes were a joke. Something for Reddit memes and weird YouTube videos.
Then a 30-second audio clip almost cost me my company.
It was a Tuesday morning. My co-founder, usually the calmest person I know, burst into my office. He looked like he’d seen a ghost. “Did you just authorize a $500,000 wire transfer to a new vendor?” he asked, his voice shaking.
I hadn’t. Of course, I hadn’t. But someone had. And they had used my voice to do it.
A perfect, flawless, audio deepfake of me, sent to our finance controller, approving a massive, fraudulent payment. It had my exact intonation, my speech patterns, even the way I clear my throat when I’m about to ask for something important. We caught it by sheer luck – the controller had a gut feeling and decided to double-check with me in person. We were hours away from losing half a million dollars.
That was my wake-up call. Deepfakes weren’t a toy anymore. They were a weapon. And we were completely unprepared.
The Zero-Day AI Threat is Already Here
What happened to us wasn’t a sophisticated, state-sponsored attack. It was done by a couple of clever hackers using off-the-shelf AI tools. They scraped a few minutes of audio from my podcast appearances, fed it into a voice cloning model, and created a weapon that bypassed all our security protocols.
This is what I call a “zero-day AI” threat. It’s not about finding a bug in software. It’s about exploiting the very nature of AI to create attacks that are indistinguishable from reality. And it’s happening right now.
After that incident, I went on a warpath. I spent months talking to AI security experts, researchers, and even a few reformed hackers. I needed to understand how this technology worked and how to defend against it. The result is a framework I now use for all my companies and investments. It’s not foolproof, but it’s the best defense we have.
My Adversarial AI Defense Framework
I break it down into three simple parts:
- Verify, Don’t Trust: The single most important rule. We now have a multi-factor verification process for any financial transaction over $10,000. It involves a video call with a pre-established code word. It’s a pain, but it’s better than bankruptcy.
- Embrace Proactive Chaos: We now hire teams to attack our own systems with deepfakes. They constantly create new audio and video fakes of me and other executives, trying to fool our employees. It’s a fire drill for the digital age. It sounds crazy, but it’s the only way to build immunity.
- Invest in the Defense: I’ve put my money where my mouth is. I’ve personally invested in three startups that are building the next generation of AI security tools. One is developing a real-time deepfake detection algorithm, another is working on a new form of digital watermarking, and the third is building a decentralized identity verification system.
From Threat to Trillion-Dollar Opportunity
Here’s where it gets interesting. After spending so much time in the trenches of AI security, I started to see something else. A massive opportunity.
The same technology that can be used to create malicious deepfakes can also be used for incredible good. Think about it:
- Personalized Education: Imagine a world where every student has a personal tutor, an AI that looks and sounds like their favorite teacher, and can explain complex topics in a way that’s perfectly tailored to their learning style.
- Hyper-Realistic Entertainment: We’re already seeing the first glimpses of this in Hollywood, with de-aging technology. But what if you could star in your own movie? Or have a conversation with a digital version of your favorite historical figure?
- Revolutionary Healthcare: Deepfakes can be used to create realistic simulations for training surgeons, or to help people with speech impediments practice their communication skills in a safe environment.
This is not science fiction. This is the next frontier. The market for synthetic media is projected to be worth hundreds of billions of dollars in the next few years. I believe it’s a trillion-dollar opportunity.
As an investor, I’m always looking for the next big thing. And I’m convinced that the companies that can harness the power of synthetic media for good will be the giants of tomorrow. I’m not just investing in AI security anymore. I’m investing in the future of reality itself.
The Road Ahead
Look, I get it. This stuff is scary. The potential for misuse is enormous. But we can’t let fear paralyze us. We have to face this new reality head-on.
We need to have a serious conversation about the ethics of synthetic media. We need to develop new laws and regulations to prevent its misuse. And we need to invest in the technologies that can help us distinguish between what’s real and what’s not.
But we also need to embrace the opportunity. The deepfake revolution is coming, whether we like it or not. The question is, will we be the victims, or will we be the ones who shape it for the better?
I know which side I’m on. And I’m betting big. The future is synthetic, and it’s going to be one hell of a ride.
Frequently Asked Questions
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.
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.
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.