By 2030 over 2 billion jobs will disappear.

Data only exists within the framework of a vision you're building to, a hypothesis of where you're moving to.

Now, in economic crises times, the kind of things you're looking at is it's generally harder to get capital, revenue growth may be more, revenue lines may be unstable or growth may be less easy to predict that you're going to get to. And so what you do is you take a certain conservative approach of when, as all entrepreneurs should do, you plan for both good luck and bad luck, you put extra time on, "Okay, if I have bad luck, what do I do about that?"

It's useful to be able to recognize whether you're on track or not. To have that belief, but also paranoia about am I tracking against my investment thesis.

Boom and bust cycles are very difficult for businesses because you're hiring a bunch because you're planning for the future. And if the future is going to be very big, you need to hire people, or suddenly you go to boom to bust, then all of a sudden, you're kind of battening down the hatches and trying to sail, you know, through the storm, it's a different thing. So part of it is making good decisions about, well, how long is a boom cycle going to be, you know, don't plan on it going forever.

Innovation comes from long-term thinking and iterative execution.

World-changing startups need to be premised on accurate contrarian theories.