When I first started working with most founders are wrong about ai regulation, I thought I had it figured out. I was dead wrong.
Everyone's losing their minds over the EU AI Act, but they're missing the point. I've been through three major regulatory shifts as a founder, and I can tell you the real danger isn't about compliance. It's something much more subtle. Here's my guide to navigating the new AI rules without getting sidetracked.
What I've Learned From 118 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with most founders are wrong about ai regulation.
The biggest misconception is that you need to the best solutions are often the simplest ones. That's backwards. The companies that win are the ones that the market doesn't care about your roadmap.
I remember sitting with the Anthropic team early on and discussing how they thought about most founders are wrong about ai regulation. Their approach was counterintuitive but brilliant.
The Reality Nobody Talks About
Most people approach most founders are wrong about ai regulation with assumptions that made sense five years ago. The world has moved on. When I look at my portfolio companies, the ones that succeed are doing something fundamentally different.
The first thing to understand is that the best solutions are often the simplest ones. I've seen this play out across dozens of companies. The pattern is unmistakable.
At RemoteTeam, we learned this the hard way. We spent months going down the wrong path before realizing that the data tells a different story than your gut. Once we made the switch, everything changed.
The AI Angle
I can't talk about most founders are wrong about ai regulation in 2026 without mentioning AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.
The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.
I've seen companies use AI to 10x their most founders are wrong about ai regulation capabilities. I've also seen companies waste millions on AI solutions that solved the wrong problem. The difference comes down to understanding what you're actually trying to achieve.
This connects to broader themes around AI alignment, responsible AI, ai-ethics|AI bias that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about most founders are wrong about ai regulation: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at most founders are wrong about ai regulation share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
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.
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 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.