Jason Droege
Jason Droege is the CEO of Scale AI, a company that provides foundational training data to every major AI lab. He previously co-founded Scour with Travis Kalanick and built Uber Eats from idea to $20 billion in revenue.
Episode
First interview with Scale AI’s CEO: $14B Meta deal, what’s working in enterprise AI, and what frontier labs are building next | Jason Droege
Summary
Jason Droege, CEO of Scale AI, gives an inside view on where frontier AI is heading — arguing the transition is from "models knowing things" to "models doing things," and that enterprise AI deployment takes 6-12 months to make a single process robust. He discusses Scale's pivot from data labeling toward AI evaluation and red-teaming infrastructure, and shares lessons from building Uber Eats from zero to B.
Key Takeaways
The next phase of AI is knowledge to action — from "what does the model know?" to "what can it do in my environment?" The bottleneck is building reliable agent environments for real enterprise systems.
Enterprise AI deployment takes 6-12 months per process — the "AI in a weekend" narrative is wrong. Like laying broadband, someone has to dig up every road.
Evals are the most important and underinvested part of AI deployment — you can't improve what you can't measure, and most companies haven't built measurement infrastructure.
In platform businesses, the durable advantage comes from being the coordination layer, not any single feature. Invest disproportionately in reliability and routing.
At the CEO level, your primary job is resource allocation and setting tempo — not making product decisions.
Notable Quotes
“Yes. I think Selfish Gene. Road Less Traveled, I've read more than once. I mean, it's just one of the classic human psychology book. And then, I think in business, I think Good to Great. It's not the read that you're going to be most excited to enjoy on a vacation, but it's pretty much right, and I think we should take advice from people who have analyzed these business problems before because not a lot's changed, but we keep acting like everything's changed.”
“And then, when we got into financing, the financing process was fascinating, and this is where the everything is negotiable lesson came from, which is, it was Ron Burkle and Mike Ovitz, who are the initial investors in the business. We were in LA, so we were at UCLA, so we were not quite wired into the entire Sand Hill Road scene. And as we were doing the deal, the terms kept changing on us. We thought you went and raised money and it was like, "Oh, we'll get a few million dollars at a $5 million valuation." This is back when that was actually a series A valuation. And then over the course of the deal, it was like, "We're doing the deal. We're not doing the deal. Oh, you should give us 50% of the company. Oh, you should give us 75% of the company. Oh, if you want to sign the document today, this person's going to show up for breakfast and if you don't sign today and give us 80% of the company, the person's not going to show up."”
“A lot of it's evals, and within enterprise customers and government customers, it's mostly evals because somebody's got to establish the benchmark for what good looks like. That's the simple way to think about evals. What does good look like and do you have a comprehensive set of evals so that the system knows what good looks like? It's as simple as that.”