Getting AI pitch decks wrong can sink a young company.
After analyzing over a thousand AI pitch decks, I've distilled the exact formula for what gets funded. I'm sharing the patterns, the red flags, and the storytelling techniques that separate the winners from the rest.
The Counterintuitive Truth
In AI pitch decks, the best practitioners often do less, not more.
The lesson: simplicity beats complexity every time. It sounds simple. It's incredibly hard to execute.
What I've Learned From 54 Companies
A few patterns in AI pitch decks come up again and again.
The founders who handle AI pitch decks well understand that timing is everything in this game.
The Numbers Don't Lie
The gap between companies that take AI pitch decks seriously and those that don't is usually clear.
Investing early in AI pitch decks can be the difference between raising your next round and running out of runway.
One of my portfolio companies went from struggling to profitable in under a year after they finally got serious about this. The founder told me later that they wished they'd started sooner.
This connects to broader themes around AI startup pivots, AI talent wars, AI market sizing 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 you don't need to get AI pitch decks right on day one. You just need to get started and keep improving.
Founders who do well at AI pitch decks tend to 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
Q: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 234 startups including Anthropic, OpenAI, and Scale AI. I write about what I've lived.
Q: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.
Q: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.