Here's something nobody tells you about why most founders get ai-powered filmmaking completely wrong: the conventional wisdom is mostly backwards.
After 4 years of grinding in AI-powered filmmaking, I’ve seen it all. I went from burning cash to building a 4-figure business by breaking all the rules. Here’s the raw, unfiltered story of what actually works.
The Reality Nobody Talks About
Most people approach why most founders get ai-powered filmmaking completely wrong 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 your team matters more than your technology. 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 best solutions are often the simplest ones. Once we made the switch, everything changed.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to why most founders get ai-powered filmmaking completely wrong are fundamentally flawed. Not slightly off. Fundamentally flawed.
The root cause is usually one of three things:
- Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
- Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
- Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to why most founders get ai-powered filmmaking completely wrong.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on why most founders get ai-powered filmmaking completely wrong. I've seen plenty fail because they moved too slow.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. This sounds obvious but you'd be amazed how many founders build their why most founders get ai-powered filmmaking completely wrong strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around AI storytelling, AI animation, AI filmmaking, AI journalism, AI writing 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-powered filmmaking completely wrong: there are no shortcuts, but there are smarter paths.
The smartest founders I work with treat why most founders get ai-powered filmmaking 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-powered filmmaking 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.
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 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.