The video explains a complex financial and strategic acquisition in a clear and concise manner, using the recent SpaceX IPO as a hook. It breaks down the 'why' behind the deal from both a financial and engineering perspective, making it informative and engaging for a business-minded audience.
Summary
The video discusses SpaceX's acquisition of Cursor for $60 billion, highlighting the strategic financial engineering behind the deal. It explains how SpaceX leveraged its post-IPO stock performance to acquire Cursor, a leading AI workflow tool for developers, without spending cash. The acquisition is seen as a move to gain access to millions of developers and a distributed reinforcement learning platform, complementing SpaceX's existing hardware and software capabilities.
Structure
1SpaceX acquires Cursor for $60 billion.
2The acquisition is more strategic than just buying a code editor.
3SpaceX used its IPO stock bump to finance the acquisition.
4Cursor is described as a distributed reinforcement learning platform.
5
Original caption
Spacex acquires Cursor for $60B! #fyp #xyz #spacex #cursor #ai
More from @evisdrenova
Their other posts in the index, biggest breakout first.
The acquisition gives SpaceX access to developers and a platform to build on.
6SpaceX's strategy involves vertically integrating hardware and software.
Product placement
Cursor is mentioned as being acquired by SpaceX and is described as an AI code editor and a distributed reinforcement learning platform.
On-screen text
SpaceX acquires Cursor for $60B
Financial/engineering POV
Transcript
SpaceX completed their acquisition of cursor today for $60 billion. And on the surface level, you might think that they just bought an AI code editor, but it's actually a lot more strategic than that. And I think what's more amazing than the fact that they actually bought cursor is the way that they were able to financially engineer this deal. Let's talk about the financial engineering of this deal first because I think it's incredibly well done. And then we'll talk about the engineering reasons of why this makes sense. So if you remember just a couple months ago, SpaceX had a deal out to cursor it required for $60 billion, which was about a $10 billion premium over the round that they were going to raise. and they said that if we don't do this deal, we will pay curator a $10 billion break up fee. Now, SpaceX a couple months ago, obviously, knew that it was going to go public and they obviously knew that for most companies when they go public, they tend to see a bump in their stock price. So when SpaceX finally IPO'd last Friday at $135 a share, which was a $1.75 trillion valuation, they were expecting a bump in their stock price. And today, just a few days later, it's now trading at about $217 a share, which is about $2.86 trillion valuation. That is a $1.1 trillion market cap gained in just a few days of trading. They closed the acquisition of curator today for 60 billion which was just 5% of their post IPO market cap gain. For 5% of that market cap gain, not their core equity, just what they experienced post IPO, they were able to acquire the leading AI workflow tool for developers. And I think that's the beauty of the financial engineering here is that instead of spending any of their cash, they use the expected re-rating of their stock post IPO to essentially buy one of the leading AI workflow tools, knowing that that would then get them into developers and that they could build on top of their Colossus GPU cluster. And we're going to talk about why this makes sense from an engineering perspective next. You might look at cursor as an AI IDE, but what it actually is is a distributed reinforcement learning environment platform. Meaning that every user that uses cursor is essentially feeding curator this agent loop of having the model generated code, having human review of that code, having some generation cycle that's happening back and forth along with the dips, the prompts, all the tool calls and then finally reaching some outcome state where the human is happy with that code. That is exactly what happens in a reinforcement learning environment. So this acquisition gives SPSS two things. Number one is that it gives SPSS access to millions of developers. And if you look at a company like Anthropic where their entire model is essentially coding and they're doing almost $20 billion a year in revenue. That is a significant amount of revenue for SPSS X, which is only doing about $18 billion across Starlink and its satellite launches and everything else. But, secondly, and maybe more importantly, what it really gives Space X is access to this distributed reinforcement learning platform. And you also have to remember that Space X has colossus, which is their massive GPU cluster. So now you have the rock and p from Colossus. You have rock providing the model on top of that and then you have cursor providing not only the data, but also the distribution to developers. More importantly than all of this is that remember that Space X today is mainly satellites and star link and embedded systems. But soon enough, Tesla almost certainly will be acquired by space X and then you have the boring company and then you have neural link. And what is the common pattern across all of these companies? It's hardware and software and what helps us build hardware and software faster. It's data and models. And that is I think the final play that Elon is going for. And that's actually what he's done in the past is in different ways, which is vertically integrating the entire stack to develop something faster, cheaper and generally better than anybody else can. And I think in a lot of ways, cursor was a key component to that and he was be able to buy that without spending any of his cash using only equity that he gained post IPO and only 5% of it at that. That is that's pretty incredible.
