The gap between theory and practice in why most founders get ai phishing completely wrong is enormous. I've lived on both sides.
After analyzing 100+ AI Phishing incidents, I found a terrifying pattern. This is what you need to know before it's too late.
What I've Learned From 85 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with why most founders get ai phishing completely wrong.
The biggest misconception is that you need to simplicity beats complexity every time. That's backwards. The companies that win are the ones that you should focus on one thing and do it exceptionally well.
I remember sitting with the Anthropic team early on and discussing how they thought about why most founders get ai phishing completely wrong. Their approach was counterintuitive but brilliant.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating why most founders get ai phishing completely wrong. It's not complicated, but it requires discipline.
Step 1: customer feedback is the only metric that matters This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: most founders overthink this and underspend on execution Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail why most founders get ai phishing completely wrong are the ones that treat it as an ongoing process, not a one-time project.
Lessons From the Trenches
I want to share a few specific lessons I've picked up over the years. These aren't theoretical. They come from real companies, real failures, and real successes.
Lesson 1: The best time to start thinking about why most founders get ai phishing completely wrong was yesterday. The second best time is now. Don't wait until you have the perfect plan.
Lesson 2: Hire for attitude, train for skill. The best why most founders get ai phishing completely wrong practitioners I've met weren't the most technically gifted. They were the most curious and persistent.
Lesson 3: Your competitors are probably getting this wrong too. That's your opportunity. While everyone else is following the same playbook, you can zig when they zag.
This connects to broader themes around adversarial AI, AI cybersecurity, AI security tools, AI threat detection, zero-day AI that I've been thinking about a lot lately.
Final Thoughts
After two exits, 200+ investments, and more mistakes than I can count, here's what I know for sure about why most founders get ai phishing completely wrong: there are no shortcuts, but there are smarter paths.
The smartest founders I work with treat why most founders get ai phishing completely wrong as a competitive advantage, not a checkbox. They invest in it early, measure it obsessively, and never stop improving.
If you're just getting started with why most founders get ai phishing completely wrong, don't be intimidated. Everyone starts somewhere. The key is to start with the right mindset and the right framework, and then execute like your company depends on it. Because it probably does.
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.
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.