During the MovieLaLa days, we learned something about the art of the ai exit: how to that I still apply to every investment I make.
You don't just 'sell' your AI company; you engineer the exit from day one. I'll break down the process of building relationships, positioning your company, and running a competitive M&A process to get a top-dollar acquisition.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to the art of the ai exit: how to 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.
The Reality Nobody Talks About
Most people approach the art of the ai exit: how to 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 market doesn't care about your roadmap. 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 you need to move fast and break things. Once we made the switch, everything changed.
What I've Learned From 21 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with the art of the ai exit: how to.
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 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 the art of the ai exit: how to. Their approach was counterintuitive but brilliant.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to the art of the ai exit: how to.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on the art of the ai exit: how to. 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 the art of the ai exit: how to strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around AI market sizing, AI startup pivots, AI talent wars, AI exit strategies, AI competitive moats 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 the art of the ai exit: how to: 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 the art of the ai exit: how 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
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 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.