Elon Musk Podcast

SpaceX is buying Cursor. The $60 billion all-stock acquisition of Anysphere, announced June 16, gives Elon Musk control of the most popular AI code editor on the market, just days after SpaceX's $2 trillion Nasdaq IPO. Two months ago, Cursor was valued at $29 billion. The SpaceX Cursor deal more than doubles that price.
This episode breaks down the $60 billion Anysphere acquisition and the math behind it. Cursor's annualized revenue is around $4 billion, with $2.6 billion from enterprise B2B customers. The growth curve is near-vertical: $2 billion ARR in February 2026, $3 billion in late April, $4 billion in early June. The deal is structured as an all-stock merger through a SpaceX subsidiary called X67, meaning fresh IPO capital isn't funding it. Anysphere shareholders receive SpaceX Class A shares based on a seven-day volume-weighted average price, with the merger expected to close in Q3 2026.
The strategic logic is the AI coding market. xAI merged into SpaceX in February but never gained traction against Claude and GPT in developer tools. Cursor was already eating that market. Two senior Cursor engineers had left for xAI, and Cursor had been training its newest models on tens of thousands of xAI chips. The $60 billion deal closes a competitive gap that money alone wasn't closing.
The April option deal is the underrated part of the SpaceX Cursor story. SpaceX locked in either the $60 billion acquisition price or a $10 billion break-up fee months ago, before the IPO and before Cursor's run-rate doubled. By June, $60 billion looked like a discount. The merger agreement also carries a $10 billion termination fee if SpaceX walks, plus an additional $4 billion if antitrust kills it.
The broader AI M&A picture matters too. Anthropic just filed for an IPO at a $965 billion valuation. OpenAI filed at $852 billion. SpaceX is trading above $2 trillion. The AI capex cycle is now visible in acquisition pricing, not just compute spend. Developers building on Cursor are now building on a Musk-owned platform, which raises real questions about model neutrality, data access, and what happens when xAI controls the editor that ships Claude's and OpenAI's outputs to millions of engineers.
We cover what changes for Cursor users under SpaceX ownership, what the deal means for Anthropic and OpenAI in the AI coding market, why SpaceX paid double instead of waiting, and whether $60 billion holds up against $4 billion in ARR.
Keywords: SpaceX Cursor acquisition, Anysphere $60 billion, SpaceX buys Cursor, Cursor AI editor, AI coding, xAI, Elon Musk, SpaceX IPO, AI M&A, agentic coding, enterprise AI, Grok, Anthropic IPO, OpenAI IPO.

Nvidia just raised $25 billion in its first bond sale since 2021. The catch is that Nvidia didn't need the money. The company generated $50 billion in operating cash last quarter, holds $13 billion on the balance sheet, and authorized $80 billion in buybacks. So why borrow?
The order book is the story. Demand reached $85 billion, more than three times the final deal size. Nvidia started targeting $20 billion and raised the offering to $25 billion before pricing. The longest-dated tranche came in at just 65 basis points over Treasuries after tightening 25 points from initial guidance. Investors weren't accepting Nvidia's credit, they were competing for it.
This episode breaks down what that means. The deal is five times the size of Nvidia's 2021 bond sale and over twelve times the 2016 offering. It's split across seven tranches with maturities from 2 to 30 years, which lets Nvidia lock in long-term financing at near-historic low credit spreads. The US-Iran agreement has pulled investment-grade risk premiums back to pre-conflict levels, and high-grade bond funds have logged 13 straight months of inflows.
The broader pattern matters more than the single deal. Alphabet, Amazon, and other AI hyperscalers have been raising similar bond debt to fund data center buildouts. Nvidia joining sets a new credit benchmark for the sector and gives bond investors a way to position around the AI capex cycle without buying equity. For a company with a $5.15 trillion market cap and over $200 billion in projected free cash flow this fiscal year, this isn't a liquidity move. It's a market signal.
We cover what the proceeds are actually for (refinancing, general corporate purposes, and the buyback program), why bond investors wanted more than Nvidia was willing to sell, what a 3x oversubscription tells us about confidence in the AI hardware cycle, and whether this is the top of the cycle or the middle.
Nvidia bond sale, NVDA bonds, AI infrastructure, AI capex, investment grade bonds, AI hyperscalers, Nvidia stock, AI bubble, data center spending, credit markets.

Apple has introduced a comprehensive Siri overhaul and a new Apple Intelligence platform as part of iOS 27, marking a shift toward a more conversational and context-aware assistant. To achieve this, the company reportedly rebuilt Siri from the ground up using a three-tier architecture that utilizes on-device models, private cloud computing, and a partnership with Google’s Gemini for complex tasks. However, these advanced features require significant hardware power, specifically at least 12GB of unified memory, which limits the full experience to the iPhone 17 Pro series, iPhone Air, and high-end M-series iPads and Macs. While this strategy ensures user privacy through data anonymization, it creates a hardware gap that analysts predict will trigger a massive device upgrade cycle. Public reactions are mixed, with many users frustrated by the perceived obsolescence of relatively new hardware like the iPhone 16. Despite these hurdles, the update includes innovative tools such as improved dictation, a dedicated Siri app, and enhanced photo editing capabilities.

The U.S. government recently issued an unprecedented export ban on Anthropic’s newest artificial intelligence models, Fable 5 and Mythos 5, forcing the company to abruptly terminate access for all customers. This directive stems from national security concerns regarding potential "jailbreaks" that could allow foreign entities to bypass safety protocols and misuse the technology for hazardous purposes. While the White House views the move as essential for protecting American interests, critics argue it threatens U.S. technological leadership and may push global innovation toward open-source alternatives. The incident marks a pivotal shift where frontier AI models are now regulated as strategic geopolitical assets rather than standard software products. Consequently, international organizations are reevaluating their digital sovereignty and the risks of relying on a small number of American-based providers. This unfolding situation highlights the growing tension between the rapid democratization of AI and the rigid constraints of global security policy.

The founder of Rivian, who is building a multi-company ecosystem centered on electrification and artificial intelligence. Central to this expansion are two major spin-outs: Mind Robotics, which develops AI-powered industrial robots for manufacturing automation, and Also, a micromobility firm producing modular e-bikes and autonomous delivery vehicles. These ventures utilize a vertically integrated approach, designing proprietary hardware and software to improve upon traditional outsourced engineering models. Rivian serves as both a strategic partner and a training ground, providing real-world factory data to refine the foundation models and "pedal-by-wire" systems used in these new platforms. Bolstered by over $12 billion in total funding, Scaringe’s strategy focuses on "physical AI," aiming to scale intelligent, small-form-factor transportation and highly flexible robotic labor. Industry reports further highlight the safety frameworks and modular designs necessary to integrate these advanced machines into modern workplaces and urban environments.